Bettakultcha June 2014 presentation: big and open data
0 likes206 views
The document discusses the evolution and significance of data in today's world, likening it to precious commodities like oil and gold. It highlights the growth of data generation, particularly through social media platforms like Facebook, and predicts a dramatic increase in global data production in the coming years. Additionally, it introduces the concepts of open data and the importance of data privacy in the context of both historical and future data usage.
1 of 21
Download to read offline
Ad
Recommended
Big Data
Big DataROSHAN SHAJI
?
This document discusses big data and its characteristics. It notes that big data emerged in the early 2000s and was initially adopted by online companies like Google and Facebook. It then defines big data as large datasets that cannot be managed by traditional databases due to their huge size. Examples are provided of the immense amount of data generated every minute on social media platforms and in other industries. The document concludes by explaining that big data is classified according to volume, velocity and variety, and that it requires new storage and processing solutions due to its large, unstructured and qualitative nature.Data: A Timeline - How Data Came To Rule The World
Data: A Timeline - How Data Came To Rule The WorldRibbonfish
?
The document outlines a timeline of significant milestones in the evolution of data management and usage from 1881 to 2015. Key events include the introduction of the Hollerith tabulating machine, the emergence of relational databases, and the rise of big data and IoT technologies. It highlights how advancements in data storage, management, and analysis have influenced various industries and shaped modern computing.The big story (BIG DATA)
The big story (BIG DATA)Tricon Infotech
?
The document discusses how data storage needs have grown exponentially over time. In the 1980s, a 10MB hard disk cost $3,398 while in 2000 storage costs dropped to $20 per gigabyte. By 2014, 1TB of storage cost $80 or less. This growth in data is due to factors like the rise of digital media and billions of pieces of user-generated content added daily to social networks. To manage this "big data," cloud computing has become important for cost-effective storage and analysis of the growing unstructured data in the digital universe. The future will see even more data growth and value from big data analytics.A Brief History Of Data
A Brief History Of DataDamien Dallimore
?
This document provides a brief history of data from ancient times to the present day. It discusses how humans started counting and recording data visually over 20,000 years ago. Written language emerged around 3,500 BC allowing data to be recorded and transmitted. Major developments include the first library in 1250 BC to store data in mass, the origin of maps in 1150 BC, and using numbers and logic to derive insights from 100 BC to 350 BC. Significant milestones from 1600 to 1900 include the development of statistics, computers, programming languages, data standards, and the internet. Today's "big data" landscape is characterized by volume, variety, velocity, and veracity of data being created. The future will involve understanding data through insightsBrief History Of Big Data
Brief History Of Big DataTyrone Systems
?
This document summarizes the history of big data from 18,000 BCE to the present, noting key milestones such as the development of tally sticks, libraries, punch cards, magnetic storage, the internet, search engines, and big data frameworks like Hadoop. Some highlights are the first recorded statistical analysis in 1663 to curb plague, the prediction of pocket-sized data access devices in 1926, an estimate of 200 million digitally stored books by 2040 in 1944, and the coining of the term "big data" in 1999 to describe datasets too large for traditional databases to handle.Understanding big data-drupalcamp
Understanding big data-drupalcampJavier Lafora Rey
?
The document discusses the rapid growth of data, highlighting that 90% of the world's data was created in the last two years and how traditional methods of data management are becoming insufficient. It introduces distributed file systems and parallelized computing as solutions to efficiently handle large data volumes. Notably, it mentions Hadoop and MapReduce as effective tools for managing data variety and computing scalability.Big Data - Yesterday, Today and Tomorrow by John Mashey, Techviser
Big Data - Yesterday, Today and Tomorrow by John Mashey, TechviserAngela Hey
?
The document discusses the evolution and definition of 'big data' through various historical contexts, emphasizing John R. Mashey's contributions and experiences in the tech industry. It outlines how the understanding of big data has transformed from the 1960s to the present, highlighting technological developments and the growing complexity of data. The talk also reflects on past lessons and anticipates future trends in big data technologies and computing systems.A Brief History of Big Data
A Brief History of Big DataBernard Marr
?
The document outlines the history of data collection and management from ancient times to the present, highlighting key milestones, inventions, and trends. It details significant developments such as the invention of tally sticks, the abacus, and the establishment of the library of Alexandria, leading up to modern concepts like big data and business intelligence. It emphasizes the rapid increase in data generation, particularly in the 21st century, and the associated challenges in data management and analysis.A Short History of Big Data
A Short History of Big DataGadi Eichhorn
?
This document summarizes the history of big data from 1944 to 2013. It outlines key milestones such as the first use of the term "big data" in 1997, the growth of internet traffic in the late 1990s, Doug Laney coining the three V's of big data in 2001, and the focus of big data professionals shifting from IT to business functions that utilize data in 2013. The document serves to illustrate how data storage and analysis have evolved over time due to technological advances and changing needs.Big data
Big dataArpit Mittal
?
This document discusses big data and how it is affecting organizations. It notes that large amounts of data are being generated daily from sources like the New York Stock Exchange, Facebook, Ancestry.com, and the Internet Archive. Big data is transforming how businesses operate and impacting other parts of life. Hadoop is presented as a programming framework that can help organizations better manage and process massive amounts of data across different tools and platforms.Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)
Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)eXascale Infolab
?
The document discusses the emergence and impact of big data, highlighting the increasing demand for new infrastructures to handle high-volume, high-velocity, and high-variety data. It projects significant job creation related to big data and emphasizes its role as a new economic asset in various sectors. Additionally, it outlines specific big data projects and technologies such as Hadoop and anomaly detection in smart cities.Big data introduction by quontra solutions
Big data introduction by quontra solutionsQUONTRASOLUTIONS
?
Big data refers to data that exceeds the capabilities of traditional database systems, characterized by its volume, variety, velocity, variability, veracity, and complexity. The document outlines the historical development of data processing and the emergence of big data tools and technologies, including early data projects and the invention of the World Wide Web. It highlights the significance of big data in modern society and the growing need for skilled data professionals.Fireworks Factory Galiano Island June 2013
Fireworks Factory Galiano Island June 2013NoraYoung
?
This document discusses big data and the new information ecosystem. It notes that the PRISM program collected 97 billion pieces of intelligence in March 2013 alone. As facial recognition, network analysis, and voice analysis tools improve, data analytics are becoming easier. The document also discusses how data is being collected through various means like location tracking, wearable devices, and the growing "Internet of Things." However, it raises issues about privacy, data ownership, reliability of conclusions from data, and the values and politics underlying the collection and use of personal data.Big data VN-INFO meet-up
Big data VN-INFO meet-upSon Nguyen Kim
?
This document discusses big data and the challenges of working with large datasets. It notes that every 2 days now as much data is created as was created from the beginning of civilization until 2003. The Hadoop ecosystem, including tools like MapReduce and machine learning, are proposed solutions for analyzing large and diverse datasets, but challenges remain around usability, speed of analysis, and finding new applications beyond web logs.History of Big Data
History of Big DataHEXANIKA
?
Big data refers to vast and complex data sets that exceed traditional data processing capabilities, with sizes ranging from terabytes to petabytes. Historically, the concept of big data has roots dating back to early observations of information overload and continued advancements in data storage and processing technologies. Today, big data is integral for businesses to gain competitive advantages and drive decision-making through improved data management solutions.How Do I Learn Big Data
How Do I Learn Big Databigdatabeginner
?
The document provides an overview of learning big data, including what big data is, the Hadoop ecosystem, common big data job roles and their salaries, skills needed, and steps for getting started. Big data refers to the large and complex data sets that are difficult to analyze using traditional systems. Hadoop is a framework for storing and processing big data, with components like HDFS for storage and MapReduce for processing. The document recommends learning Hadoop fundamentals, then building sample data pipelines using tools like Hive and Pig to start working with big data.A brief history of "big data"
A brief history of "big data"Nicola Ferraro
?
The document provides a comprehensive overview of big data, tracing its history, components, and the technologies that facilitate its processing, such as Hadoop, MapReduce, Hive, and Spark. It discusses the evolution of big data storage and processing systems, highlighting the challenges traditional systems face with high volumes of data, and introduces recent innovations like YARN and HBase. The narrative captures the shift in perspective on big data, from initial enthusiasm to skepticism about its practical implications and effectiveness.Computers
Computerseltisi
?
The document provides an overview of the history and development of computers, starting from the first generation in 1946 with ENIAC, and discusses key contributors like Charles Babbage. It mentions the evolution of computer types, basic functions, and various applications in everyday life. Additionally, it highlights interesting facts and gadgets related to computers, exemplifying their impact on modern society.Getting Digital Preservation Data Out Of Wikidata
Getting Digital Preservation Data Out Of WikidataKenneth Seals-Nutt
?
The document discusses the utilization of Wikidata for digital preservation data as part of the EAASI program. It emphasizes collaborative data entry, multilingual support, and the use of SPARQL queries to harvest specific data. The authors highlight the flexibility and accessibility of this virtual data garden for global collaboration in various domains.Introduction to Big Data for LABDUG
Introduction to Big Data for LABDUGamuletc
?
This document introduces the topic of big data through discussing its definition, characteristics, applications, and the role of data science. It notes that big data refers to extremely large data sets that are difficult to process using traditional methods. Common tools for managing big data include Apache Hadoop, while data science and machine learning help facilitate insights from big data. A range of applications are discussed, from healthcare to manufacturing to fraud detection. While some warn of a potential bubble, the document argues big data represents a significant competitive advantage across industries.The big data value chain r1-31 oct13
The big data value chain r1-31 oct13Rei Lynn Hayashi
?
The document presents an overview of the big data value chain, highlighting statistics and implications of big data in various sectors such as healthcare, retail, and government. It discusses the sheer volume of data generated and stored globally, alongside the challenges and potential applications of big data. The presentation concludes with suggestions for organizations to begin their journey in adopting big data practices.Big data
Big datafactscomputersoftware
?
The document provides an overview of big data, defining it as large, complex data sets that traditional data processing cannot handle. It discusses the characteristics of big data, including volume, velocity, and variety, as well as the technologies and tools like Hadoop and MapReduce used for storage and processing. The benefits of big data are highlighted, emphasizing improved decision-making and the ability to analyze vast amounts of data efficiently.Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...
Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...Alexandru Iosup
?
The document discusses the challenges and opportunities presented by big data in the cloud, emphasizing the need for effective data processing systems that can handle the massive scale and variety of data generated by society. It highlights the 'three V's of big data: volume, velocity, and variety, and explores the potential of cloud computing to address these challenges through elastic systems and efficient resource management. The presentation ultimately calls for a collaboration between industry and academia to develop better performance evaluation and benchmarking methodologies for big data applications.How can a $20 toaster affect a $200M ship?
How can a $20 toaster affect a $200M ship?Markus Sandelin
?
The document discusses how the growing Internet of Things (IoT) and increase in data collection will impact businesses. It notes that while IoT and big data are not revolutionary on their own, together they will require changes in how data is managed and analyzed. Specifically, it argues that to succeed with the rise of IoT, systems must be optimized to reduce data transfers, data must be fragmented into smaller transactions instead of bulk transfers, and data must be made widely accessible through open platforms and tools. The document provides examples of how companies like Netflix, Facebook, and others have optimized data handling and argues this approach will be needed as IoT devices proliferate into the billions.How can a $20 toaster affect a $200M ship?
How can a $20 toaster affect a $200M ship?Markus Sandelin
?
The document discusses how the growing Internet of Things (IoT) and increase in data collection will impact businesses. It notes that while IoT and big data are not revolutionary on their own, together they will require changes in how data is managed and analyzed. Specifically, it argues that to succeed with the rise of IoT, systems must be optimized to reduce data transactions, data must be fragmented into smaller pieces to ease analysis, and data must be made widely accessible through open platforms and tools. The document cautions that failing to properly manage the growing amounts of connected devices and data could lead to security risks and negatively impact businesses.Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)Hritika Raj
?
This document provides an overview of big data, including its definition, characteristics, sources, tools used, applications, risks and benefits. Big data is characterized by volume, velocity and variety of structured and unstructured data that is growing exponentially. It is generated from sources like mobile devices, sensors, social media and more. Tools like Hadoop, MapReduce and data analytics are used to extract value from big data. Potential applications include healthcare, security, manufacturing and more. Risks include privacy and scale, while benefits include improved decision making and new business opportunities. The big data industry is rapidly growing and transforming IT and business.Big Data
Big DataPriyanka Tuteja
?
This document discusses big data, including what it is, common data sources, its volume, velocity and variety characteristics, solutions like Hadoop and its HDFS and MapReduce components, and the impact and future of big data. It explains that big data refers to large and complex datasets that are difficult to process using traditional tools. Hadoop provides a framework to store and process big data across clusters of commodity hardware.Overview of bigdata
Overview of bigdataAbinaya B
?
Big data refers to large volumes of data that are difficult to process using traditional data processing applications. The volume of data generated every day is massive, including 2.5 quintillion bytes of data created daily and over 40,000 Google searches per second. Big data comes from a wide variety of sources, including social media, websites, sensors, and other devices. It has five key characteristics known as the 5Vs: volume, velocity, variety, veracity and value. Technologies like Hadoop, NoSQL, Hive and Sqoop help store, analyze and transfer both structured and unstructured big data across clusters of computers. Big data has many applications in industries such as government, healthcare, transportation and more to gain insights and improveGADLJRIET850691
GADLJRIET850691neha trivedi
?
This document discusses big data and Hadoop frameworks for managing large volumes of data. It begins with an overview of how data generation has increased exponentially from employees to users to machines. Next, it discusses the history of big data technologies like Google File System and MapReduce, which were combined to create Hadoop. The document then covers sources of big data, challenges of big data, and how Hadoop provides a solution through distributed processing and its core components like HDFS and MapReduce. Finally, data processing techniques with traditional databases versus Hadoop are compared.BIG DATA
BIG DATAHABEEB2193
?
This document provides an overview of big data. It defines big data as large volumes of data that come in many varieties and are created quickly. It notes that while 5 billion gigabytes of data were created from the beginning of recorded time until 2003, that same amount was being created every two days by 2011 and every 10 minutes by 2013 due to the growth of data from sources like the internet and smartphones. The document also outlines some of the common tools used to analyze big data, potential benefits and challenges, as well as which industries are most impacted.More Related Content
What's hot (13)
A Short History of Big Data
A Short History of Big DataGadi Eichhorn
?
This document summarizes the history of big data from 1944 to 2013. It outlines key milestones such as the first use of the term "big data" in 1997, the growth of internet traffic in the late 1990s, Doug Laney coining the three V's of big data in 2001, and the focus of big data professionals shifting from IT to business functions that utilize data in 2013. The document serves to illustrate how data storage and analysis have evolved over time due to technological advances and changing needs.Big data
Big dataArpit Mittal
?
This document discusses big data and how it is affecting organizations. It notes that large amounts of data are being generated daily from sources like the New York Stock Exchange, Facebook, Ancestry.com, and the Internet Archive. Big data is transforming how businesses operate and impacting other parts of life. Hadoop is presented as a programming framework that can help organizations better manage and process massive amounts of data across different tools and platforms.Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)
Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)eXascale Infolab
?
The document discusses the emergence and impact of big data, highlighting the increasing demand for new infrastructures to handle high-volume, high-velocity, and high-variety data. It projects significant job creation related to big data and emphasizes its role as a new economic asset in various sectors. Additionally, it outlines specific big data projects and technologies such as Hadoop and anomaly detection in smart cities.Big data introduction by quontra solutions
Big data introduction by quontra solutionsQUONTRASOLUTIONS
?
Big data refers to data that exceeds the capabilities of traditional database systems, characterized by its volume, variety, velocity, variability, veracity, and complexity. The document outlines the historical development of data processing and the emergence of big data tools and technologies, including early data projects and the invention of the World Wide Web. It highlights the significance of big data in modern society and the growing need for skilled data professionals.Fireworks Factory Galiano Island June 2013
Fireworks Factory Galiano Island June 2013NoraYoung
?
This document discusses big data and the new information ecosystem. It notes that the PRISM program collected 97 billion pieces of intelligence in March 2013 alone. As facial recognition, network analysis, and voice analysis tools improve, data analytics are becoming easier. The document also discusses how data is being collected through various means like location tracking, wearable devices, and the growing "Internet of Things." However, it raises issues about privacy, data ownership, reliability of conclusions from data, and the values and politics underlying the collection and use of personal data.Big data VN-INFO meet-up
Big data VN-INFO meet-upSon Nguyen Kim
?
This document discusses big data and the challenges of working with large datasets. It notes that every 2 days now as much data is created as was created from the beginning of civilization until 2003. The Hadoop ecosystem, including tools like MapReduce and machine learning, are proposed solutions for analyzing large and diverse datasets, but challenges remain around usability, speed of analysis, and finding new applications beyond web logs.History of Big Data
History of Big DataHEXANIKA
?
Big data refers to vast and complex data sets that exceed traditional data processing capabilities, with sizes ranging from terabytes to petabytes. Historically, the concept of big data has roots dating back to early observations of information overload and continued advancements in data storage and processing technologies. Today, big data is integral for businesses to gain competitive advantages and drive decision-making through improved data management solutions.How Do I Learn Big Data
How Do I Learn Big Databigdatabeginner
?
The document provides an overview of learning big data, including what big data is, the Hadoop ecosystem, common big data job roles and their salaries, skills needed, and steps for getting started. Big data refers to the large and complex data sets that are difficult to analyze using traditional systems. Hadoop is a framework for storing and processing big data, with components like HDFS for storage and MapReduce for processing. The document recommends learning Hadoop fundamentals, then building sample data pipelines using tools like Hive and Pig to start working with big data.A brief history of "big data"
A brief history of "big data"Nicola Ferraro
?
The document provides a comprehensive overview of big data, tracing its history, components, and the technologies that facilitate its processing, such as Hadoop, MapReduce, Hive, and Spark. It discusses the evolution of big data storage and processing systems, highlighting the challenges traditional systems face with high volumes of data, and introduces recent innovations like YARN and HBase. The narrative captures the shift in perspective on big data, from initial enthusiasm to skepticism about its practical implications and effectiveness.Computers
Computerseltisi
?
The document provides an overview of the history and development of computers, starting from the first generation in 1946 with ENIAC, and discusses key contributors like Charles Babbage. It mentions the evolution of computer types, basic functions, and various applications in everyday life. Additionally, it highlights interesting facts and gadgets related to computers, exemplifying their impact on modern society.Getting Digital Preservation Data Out Of Wikidata
Getting Digital Preservation Data Out Of WikidataKenneth Seals-Nutt
?
The document discusses the utilization of Wikidata for digital preservation data as part of the EAASI program. It emphasizes collaborative data entry, multilingual support, and the use of SPARQL queries to harvest specific data. The authors highlight the flexibility and accessibility of this virtual data garden for global collaboration in various domains.Introduction to Big Data for LABDUG
Introduction to Big Data for LABDUGamuletc
?
This document introduces the topic of big data through discussing its definition, characteristics, applications, and the role of data science. It notes that big data refers to extremely large data sets that are difficult to process using traditional methods. Common tools for managing big data include Apache Hadoop, while data science and machine learning help facilitate insights from big data. A range of applications are discussed, from healthcare to manufacturing to fraud detection. While some warn of a potential bubble, the document argues big data represents a significant competitive advantage across industries.The big data value chain r1-31 oct13
The big data value chain r1-31 oct13Rei Lynn Hayashi
?
The document presents an overview of the big data value chain, highlighting statistics and implications of big data in various sectors such as healthcare, retail, and government. It discusses the sheer volume of data generated and stored globally, alongside the challenges and potential applications of big data. The presentation concludes with suggestions for organizations to begin their journey in adopting big data practices.Similar to Bettakultcha June 2014 presentation: big and open data (20)
Big data
Big datafactscomputersoftware
?
The document provides an overview of big data, defining it as large, complex data sets that traditional data processing cannot handle. It discusses the characteristics of big data, including volume, velocity, and variety, as well as the technologies and tools like Hadoop and MapReduce used for storage and processing. The benefits of big data are highlighted, emphasizing improved decision-making and the ability to analyze vast amounts of data efficiently.Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...
Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...Alexandru Iosup
?
The document discusses the challenges and opportunities presented by big data in the cloud, emphasizing the need for effective data processing systems that can handle the massive scale and variety of data generated by society. It highlights the 'three V's of big data: volume, velocity, and variety, and explores the potential of cloud computing to address these challenges through elastic systems and efficient resource management. The presentation ultimately calls for a collaboration between industry and academia to develop better performance evaluation and benchmarking methodologies for big data applications.How can a $20 toaster affect a $200M ship?
How can a $20 toaster affect a $200M ship?Markus Sandelin
?
The document discusses how the growing Internet of Things (IoT) and increase in data collection will impact businesses. It notes that while IoT and big data are not revolutionary on their own, together they will require changes in how data is managed and analyzed. Specifically, it argues that to succeed with the rise of IoT, systems must be optimized to reduce data transfers, data must be fragmented into smaller transactions instead of bulk transfers, and data must be made widely accessible through open platforms and tools. The document provides examples of how companies like Netflix, Facebook, and others have optimized data handling and argues this approach will be needed as IoT devices proliferate into the billions.How can a $20 toaster affect a $200M ship?
How can a $20 toaster affect a $200M ship?Markus Sandelin
?
The document discusses how the growing Internet of Things (IoT) and increase in data collection will impact businesses. It notes that while IoT and big data are not revolutionary on their own, together they will require changes in how data is managed and analyzed. Specifically, it argues that to succeed with the rise of IoT, systems must be optimized to reduce data transactions, data must be fragmented into smaller pieces to ease analysis, and data must be made widely accessible through open platforms and tools. The document cautions that failing to properly manage the growing amounts of connected devices and data could lead to security risks and negatively impact businesses.Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)Hritika Raj
?
This document provides an overview of big data, including its definition, characteristics, sources, tools used, applications, risks and benefits. Big data is characterized by volume, velocity and variety of structured and unstructured data that is growing exponentially. It is generated from sources like mobile devices, sensors, social media and more. Tools like Hadoop, MapReduce and data analytics are used to extract value from big data. Potential applications include healthcare, security, manufacturing and more. Risks include privacy and scale, while benefits include improved decision making and new business opportunities. The big data industry is rapidly growing and transforming IT and business.Big Data
Big DataPriyanka Tuteja
?
This document discusses big data, including what it is, common data sources, its volume, velocity and variety characteristics, solutions like Hadoop and its HDFS and MapReduce components, and the impact and future of big data. It explains that big data refers to large and complex datasets that are difficult to process using traditional tools. Hadoop provides a framework to store and process big data across clusters of commodity hardware.Overview of bigdata
Overview of bigdataAbinaya B
?
Big data refers to large volumes of data that are difficult to process using traditional data processing applications. The volume of data generated every day is massive, including 2.5 quintillion bytes of data created daily and over 40,000 Google searches per second. Big data comes from a wide variety of sources, including social media, websites, sensors, and other devices. It has five key characteristics known as the 5Vs: volume, velocity, variety, veracity and value. Technologies like Hadoop, NoSQL, Hive and Sqoop help store, analyze and transfer both structured and unstructured big data across clusters of computers. Big data has many applications in industries such as government, healthcare, transportation and more to gain insights and improveGADLJRIET850691
GADLJRIET850691neha trivedi
?
This document discusses big data and Hadoop frameworks for managing large volumes of data. It begins with an overview of how data generation has increased exponentially from employees to users to machines. Next, it discusses the history of big data technologies like Google File System and MapReduce, which were combined to create Hadoop. The document then covers sources of big data, challenges of big data, and how Hadoop provides a solution through distributed processing and its core components like HDFS and MapReduce. Finally, data processing techniques with traditional databases versus Hadoop are compared.BIG DATA
BIG DATAHABEEB2193
?
This document provides an overview of big data. It defines big data as large volumes of data that come in many varieties and are created quickly. It notes that while 5 billion gigabytes of data were created from the beginning of recorded time until 2003, that same amount was being created every two days by 2011 and every 10 minutes by 2013 due to the growth of data from sources like the internet and smartphones. The document also outlines some of the common tools used to analyze big data, potential benefits and challenges, as well as which industries are most impacted.Big Data And Hadoop
Big Data And HadoopAnkur Tripathi
?
This document provides an overview of big data and Hadoop. It defines big data as large volumes of unstructured data that are too costly and time-consuming to load into traditional databases. It notes that big data comes from various sources like web data, social networks, and sensor data. The challenges of big data include slow disk speeds and the need for parallel processing. Hadoop is introduced as an open-source framework that uses HDFS for storage across clusters and MapReduce for parallel processing of large datasets. Key aspects of HDFS and MapReduce are summarized.Big data ppt
Big data pptOECLIB Odisha Electronics Control Library
?
This document provides an overview of big data in a seminar presentation. It defines big data, discusses its key characteristics of volume, velocity and variety. It describes how big data is stored, selected and processed. Examples of big data sources and tools used are provided. The applications and risks of big data are summarized. Benefits to organizations from big data analytics are outlined, as well as its impact on IT and future growth prospects.bigdata.pptx
bigdata.pptxKammetaJoshna
?
This document provides an overview of a seminar on big data. It begins with an introduction on how big data has become important in the IT world. It then defines big data, noting its characteristics of volume, velocity, and variety. It discusses storing, selecting, and processing big data using tools like Hadoop. It covers sources of big data and applications such as smarter healthcare, manufacturing, and traffic control. Both the risks and benefits of big data are mentioned, such as being overwhelmed by data but also making better decisions. Finally, it discusses the future of big data and its importance for the Indian market.FDS Module I 20.1.2022.ppt
FDS Module I 20.1.2022.pptPerumalPitchandi
?
This document outlines the key topics to be covered in a course on foundations of data science. The course will cover basic concepts of big data and data science including data collection, analysis, modeling and inference using statistical concepts. Students will learn to identify appropriate data mining algorithms to solve real-world problems and analyze relevant data, models and tools for applications. The syllabus will include modules on big data overview, data warehousing, data mining, data analysis, data science life cycle and more.Big Data basics-Unit-1.pptx
Big Data basics-Unit-1.pptxvarun453331
?
Big data refers to large, diverse sets of data that are growing rapidly in volume and coming from multiple sources and formats. It encompasses the volume, velocity, and variety of data. Traditional databases cannot efficiently store or process big data due to its huge size and complex, varied nature. Examples of big data include social media data, sensor data from jet engines, and stock market trade data. The key characteristics of big data are volume, velocity, variety, value, and veracity.Soderstrom
SoderstromNASAPMC
?
Transforming IT Into Innovating Together is a presentation by Tom Soderstrom, CTO of NASA's Jet Propulsion Laboratory (JPL). The presentation discusses 9 emerging IT trends and how JPL is innovating to take advantage of them. The trends include: 1) Extreme collaboration made simple through knowledge sharing and social networking, 2) The pervasive cloud and using cloud computing, 3) Becoming more eco-friendly, 4) Refocused cyber security, 5) Consumer driven IT, 6) Apps over programs, 7) Immersive visualization and interaction, 8) Big data and handling large datasets, and 9) Understanding human behavior through technology. The presentation provides examples of how JPL is already innovating inIntroduction to Big Data & Big Data 1.0 System
Introduction to Big Data & Big Data 1.0 SystemPetr Novotn?
?
This document provides an introduction to big data and big data 1.0 systems. It discusses how the volume of data being created is growing exponentially and outlines the 5 V's of big data: volume, velocity, variety, veracity, and value. It describes how Hadoop is an open-source software framework that was inspired by Google's MapReduce and is designed to process large amounts of unstructured data across clusters of computers. Hadoop became very popular for organizations working with big data during the early 2010s, representing the first generation or "1.0" of big data systems.In memory big data management and processing
In memory big data management and processingPranav Gontalwar
?
This document provides an overview of big data, including its definition, characteristics, sources, tools, benefits, and future. Big data refers to the large volumes of diverse data that are growing exponentially and can be analyzed to reveal insights. The key characteristics are volume, velocity, and variety. Big data comes from a variety of sources and is processed using distributed servers, storage, and processing as well as high-performance databases. Analyzing big data can improve customer service, increase efficiency, and enhance accuracy. The future of big data includes industry standards and security improvements.big-data-8722-m8RQ3h1.pptx
big-data-8722-m8RQ3h1.pptxVaishnavGhadge1
?
This document outlines a seminar presentation on big data. It begins with an introduction that defines big data and notes how it emerged in the early 21st century mainly through online firms. It then covers the three key characteristics of big data - volume, velocity and variety. Other sections discuss storing, selecting and processing big data, as well as tools used and applications. Risks, benefits and the future impact and growth of big data are also summarized. The presentation provides an overview of the key concepts regarding big data.Big Data Presentation
Big Data PresentationRitika Barethia
?
Big data refers to extremely large data sets that are challenging to process with traditional systems due to volume, variety, and velocity. It encompasses structured, unstructured, and semi-structured data, with applications across various sectors, including business and government. The main challenges include data capture, storage, analysis, and visualization, necessitating advanced tools like Hadoop to manage and derive value from this data.Big Data
Big DataMohammad Al-Fawareh
?
Big data comes from various sources in different formats and structures. It includes social media data, search engine data, medical records, and IoT device data. YouTube alone generates billions of views from over 1 billion users uploading 1.2 million videos daily. Big data is characterized by its variety, velocity, and volume. Hadoop is an open source framework used to process and store big data. It has two core components - HDFS for storage and MapReduce for processing. Hadoop distributes data and tasks across nodes, provides fault tolerance, and scales dynamically with hardware.Ad
Recently uploaded (20)
Verweven van EM Legacy en OTL-data bij AWV
Verweven van EM Legacy en OTL-data bij AWVjacoba18
?
Het project heeft als doel legacy- en OTL-data samen te brengen in één consistente, OTL-conforme databank. In deze sessie laten we zien hoe we data vergelijken, verschillen helder rapporteren aan de business en feedback op een geautomatiseerde manier verwerken.最新版美国芝加哥大学毕业证（鲍颁丑颈肠补驳辞毕业证书）原版定制
最新版美国芝加哥大学毕业证（鲍颁丑颈肠补驳辞毕业证书）原版定制taqyea
?
2025原版芝加哥大学毕业证书pdf电子版【q薇1954292140】美国毕业证办理UChicago芝加哥大学毕业证书多少钱？【q薇1954292140】海外各大学Diploma版本，因为疫情学校推迟发放证书、证书原件丢失补办、没有正常毕业未能认证学历面临就业提供解决办法。当遭遇挂科、旷课导致无法修满学分，或者直接被学校退学，最后无法毕业拿不到毕业证。此时的你一定手足无措，因为留学一场，没有获得毕业证以及学历证明肯定是无法给自己和父母一个交代的。
【复刻芝加哥大学成绩单信封,Buy The University of Chicago Transcripts】
购买日韩成绩单、英国大学成绩单、美国大学成绩单、澳洲大学成绩单、加拿大大学成绩单（q微1954292140）新加坡大学成绩单、新西兰大学成绩单、爱尔兰成绩单、西班牙成绩单、德国成绩单。成绩单的意义主要体现在证明学习能力、评估学术背景、展示综合素质、提高录取率，以及是作为留信认证申请材料的一部分。
芝加哥大学成绩单能够体现您的的学习能力，包括芝加哥大学课程成绩、专业能力、研究能力。（q微1954292140）具体来说，成绩报告单通常包含学生的学习技能与习惯、各科成绩以及老师评语等部分，因此，成绩单不仅是学生学术能力的证明，也是评估学生是否适合某个教育项目的重要依据！
我们承诺采用的是学校原版纸张（原版纸质、底色、纹路）我们工厂拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有成品以及工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！
【主营项目】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理毕业证|办理文凭: 买大学毕业证|买大学文凭【q薇1954292140】芝加哥大学学位证明书如何办理申请？
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理美国成绩单芝加哥大学毕业证【q薇1954292140】国外大学毕业证, 文凭办理, 国外文凭办理, 留信网认证FME Beyond Data Processing: Creating a Dartboard Accuracy App
FME Beyond Data Processing: Creating a Dartboard Accuracy Appjacoba18
?
Bij Nordend vroegen we ons af of FME ons kan helpen bepalen waar we moeten mikken voor de hoogste score, gebaseerd op onze nauwkeurigheid. We tonen hoe we met FME Flow, een zelfgemaakte WMS-dartbordlaag en geanalyseerde gooiresultaten optimale mikpunten berekenden.YEAP !NOT WHAT YOU THINK aakshdjdncnkenfj
YEAP !NOT WHAT YOU THINK aakshdjdncnkenfjpayalmistryb
?
Skdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnne
英国毕业证范本利物浦约翰摩尔斯大学成绩单底纹防伪尝闯惭鲍学生证办理学历认证
英国毕业证范本利物浦约翰摩尔斯大学成绩单底纹防伪尝闯惭鲍学生证办理学历认证 taqyed
?
LJMU利物浦约翰摩尔斯大学毕业证书多少钱【q薇1954292140】1:1原版利物浦约翰摩尔斯大学毕业证+LJMU成绩单【q薇1954292140】完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。
【主营项目】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理毕业证|办理文凭: 买大学毕业证|买大学文凭【q薇1954292140】学位证明书如何办理申请？
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理利物浦约翰摩尔斯大学毕业证|LJMU成绩单【q薇1954292140】国外大学毕业证, 文凭办理, 国外文凭办理, 留信网认证
三.材料咨询办理、认证咨询办理请加学历顾问【微信:1954292140】毕业证购买指大学文凭购买，毕业证办理和文凭办理。学院文凭定制，学校原版文凭补办，扫描件文凭定做，100%文凭复刻。Grote OSM datasets zonder kopzorgen bij Reijers
Grote OSM datasets zonder kopzorgen bij Reijersjacoba18
?
OpenStreetMap (OSM) is een open geografische database die we filteren en bewerken om een aangepaste dataset te cre?ren voor cartografisch bedrijf Reijers. De grote omvang van de OSM data leidt echter tot geheugenproblemen in FME. In de presentatie bespreken we deze uitdaging en verschillende strategie?n om de data alsnog effici?nt te verwerken.最新版美国威斯康星大学拉克罗斯分校毕业证（鲍奥–尝毕业证书）原版定制
最新版美国威斯康星大学拉克罗斯分校毕业证（鲍奥–尝毕业证书）原版定制Taqyea
?
鉴于此，定制威斯康星大学拉克罗斯分校学位证书提升履历【q薇1954292140】原版高仿威斯康星大学拉克罗斯分校毕业证(UW–L毕业证书)可先看成品样本【q薇1954292140】帮您解决在美国威斯康星大学拉克罗斯分校未毕业难题，美国毕业证购买，美国文凭购买，【q微1954292140】美国文凭购买，美国文凭定制，美国文凭补办。专业在线定制美国大学文凭，定做美国本科文凭，【q微1954292140】复制美国University of Wisconsin-La Crosse completion letter。在线快速补办美国本科毕业证、硕士文凭证书，购买美国学位证、威斯康星大学拉克罗斯分校Offer，美国大学文凭在线购买。
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
【复刻一套威斯康星大学拉克罗斯分校毕业证成绩单信封等材料最强攻略,Buy University of Wisconsin-La Crosse Transcripts】
购买日韩成绩单、英国大学成绩单、美国大学成绩单、澳洲大学成绩单、加拿大大学成绩单（q微1954292140）新加坡大学成绩单、新西兰大学成绩单、爱尔兰成绩单、西班牙成绩单、德国成绩单。成绩单的意义主要体现在证明学习能力、评估学术背景、展示综合素质、提高录取率，以及是作为留信认证申请材料的一部分。
威斯康星大学拉克罗斯分校成绩单能够体现您的的学习能力，包括威斯康星大学拉克罗斯分校课程成绩、专业能力、研究能力。（q微1954292140）具体来说，成绩报告单通常包含学生的学习技能与习惯、各科成绩以及老师评语等部分，因此，成绩单不仅是学生学术能力的证明，也是评估学生是否适合某个教育项目的重要依据！REGRESSION DIAGNOSTIC II: HETEROSCEDASTICITY
REGRESSION DIAGNOSTIC II: HETEROSCEDASTICITYAmeya Patekar
?
REGRESSION DIAGNOSTIC II: HETEROSCEDASTICITY
定制翱颁础顿学生卡加拿大安大略艺术与设计大学成绩单范本,翱颁础顿成绩单复刻
定制翱颁础顿学生卡加拿大安大略艺术与设计大学成绩单范本,翱颁础顿成绩单复刻taqyed
?
2025年极速办安大略艺术与设计大学毕业证【q薇1954292140】学历认证流程安大略艺术与设计大学毕业证加拿大本科成绩单制作【q薇1954292140】海外各大学Diploma版本，因为疫情学校推迟发放证书、证书原件丢失补办、没有正常毕业未能认证学历面临就业提供解决办法。当遭遇挂科、旷课导致无法修满学分，或者直接被学校退学，最后无法毕业拿不到毕业证。此时的你一定手足无措，因为留学一场，没有获得毕业证以及学历证明肯定是无法给自己和父母一个交代的。
【复刻安大略艺术与设计大学成绩单信封,Buy OCAD University Transcripts】
购买日韩成绩单、英国大学成绩单、美国大学成绩单、澳洲大学成绩单、加拿大大学成绩单（q微1954292140）新加坡大学成绩单、新西兰大学成绩单、爱尔兰成绩单、西班牙成绩单、德国成绩单。成绩单的意义主要体现在证明学习能力、评估学术背景、展示综合素质、提高录取率，以及是作为留信认证申请材料的一部分。
安大略艺术与设计大学成绩单能够体现您的的学习能力，包括安大略艺术与设计大学课程成绩、专业能力、研究能力。（q微1954292140）具体来说，成绩报告单通常包含学生的学习技能与习惯、各科成绩以及老师评语等部分，因此，成绩单不仅是学生学术能力的证明，也是评估学生是否适合某个教育项目的重要依据！
我们承诺采用的是学校原版纸张（原版纸质、底色、纹路）我们工厂拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有成品以及工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！
【主营项目】
一.安大略艺术与设计大学毕业证【q微1954292140】安大略艺术与设计大学成绩单、留信认证、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理国外各大学文凭(一对一专业服务,可全程监控跟踪进度)Residential Zone 4 for industrial village
Residential Zone 4 for industrial villageMdYasinArafat13
?
based on assumption that failure of such a weld is by shear on the
effective area whether the shear transfer is parallel to or
perpendicular to the axis of the line of fillet weld. In fact, the
strength is greater for shear transfer perpendicular to the weld axis;
however, for simplicity the situations are treated the same.Pause Travail 22 Hostiou Girard 12 juin 2025.pdf
Pause Travail 22 Hostiou Girard 12 juin 2025.pdfInstitut de l'Elevage - Idele
?
Diaporama de la Pause travail 22 sur les rizières au Ghana - 12 juin 2025 - Intervenants Nathalie Hostiou et Pierre GirardShifting Focus on AI: How it Can Make a Positive Difference
Shifting Focus on AI: How it Can Make a Positive Difference1508 A/S
?
This morgenbooster will share how to find the positive impact of AI and how to integrate it into your own digital process. Veilig en vlot fietsen in Oost-Vlaanderen: Fietssnelwegen geoptimaliseerd met...
Veilig en vlot fietsen in Oost-Vlaanderen: Fietssnelwegen geoptimaliseerd met...jacoba18
?
Dit project, in samenwerking met de provincie Oost-Vlaanderen, heeft als doel de veiligheid op de F45 tussen Oudenaarde en Gent te verbeteren door netwerkdata aan te vullen met snelheidslimieten, toegangsbeperkingen en voorrangsregels. Met mobile mapping en FME werden verkeersborden en kruispunten geanalyseerd, waarna de resultaten in ArcGIS inzicht boden in toegankelijke wegsegmenten en verkeersregels.Prescriptive Process Monitoring Under Uncertainty and Resource Constraints: A...
Prescriptive Process Monitoring Under Uncertainty and Resource Constraints: A...Mahmoud Shoush
?
We introduced Black-Box Prescriptive Process Monitoring (BB-PrPM) – a reinforcement learning approach that learns when, whether, and how to intervene in business processes to boost performance under real-world constraints.
This work is presented at the International Conference on Advanced Information Systems Engineering CAiSE Conference #CAiSE2025
Ad
Bettakultcha June 2014 presentation: big and open data
- 2. The structuring of information has always been around us.
- 3. Data isn’t just stored in databases and spreadsheets.
- 4. Moore’s Law, illustrated by evolving data storage formats.
- 5. Now: We have “the cloud”.
- 6. How would you rate Frozen?! ! Reviews: Data you choose to create.
- 7. Mobile phones are data enablers, even passively.
- 8. Big data.
- 9. 18 May 2012. Facebook’s IPO.! In the listing they stated they stored an average of 111 megabytes of photos and videos per user.! They had 845 million users.
- 10. 93,795,000,000,000 megabytes ! ! equals! 87,353.4 petabytes ! ! equals! 0.083 zettabytes
- 11. 2012? 2.8 zettabytes of data? was generated.? Prediction for 2015? At least double that:? 5.6 zettabytes.! Source: IDC/MIT
- 12. Open data.
- 13. A piece of data is open? if anyone is free to! ! ! use,! ! ! reuse, and! ! ! redistribute it.
- 14. The concept of open data goes back as far as 1957 with the establishment of the World Data Center system.! ! (This predates the existence of the internet, but not machines that can record.)
- 16. Privacy.
- 17. Do we need all this data?
- 18. Data is the past.! Data is the future.
- 19. Open data ! ! plus! Big data ! ! plus! A need to solve and understand