What companies hiring data scientists and hadoop developers are looking for?DeZyre
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Companies in many industries, including oil and gas, insurance, social media, and government, are hiring data scientists and Hadoop developers. The document provides strategies for job seekers to demonstrate their qualifications to hiring managers, including illustrating how they can perform required tasks without extensive years of experience. It also outlines what interviewers look for, such as business acumen for data scientists. Salary ranges are provided for various big data roles from entry-level to experienced positions. Contact information is included at the end for follow up.
This document promotes additional reading on big data and Hadoop training by providing clickable links to read a complete article on the topic as well as learn more about big data and Hadoop training opportunities. It points the reader towards further resources without providing much summary or context of its own.
This document discusses how programming is essential for data science work. It explains that while data science builds on statistics, it now requires a diverse set of skills including programming. Programming is needed for tasks like data wrangling, analysis, modeling, deployment, and more. The document recommends Python or R as good options for the programming component of data science and provides examples of how programming supports functions like data exploration, modeling, building production systems, and more. Overall, it argues that programming proficiency is a core requirement for modern data science work.
This document discusses big data and Hadoop training. It provides links to read a complete article on 5 big data use cases and to learn more about IBM Certified big data and Hadoop training. Clicking the links would take the reader to more information on common big data uses and certification programs.
Average salaries for big data and Hadoop developers have increased 9.3% in the last year, now ranging from $119,250 to $168,250 annually. There are over 500 open big data jobs in San Francisco, where the average salary for Hadoop developers is $139,000, and senior Hadoop developers can earn over $178,000. The states with the most big data and Hadoop jobs are California, New York, New Jersey, and Texas.
This document provides guidance on becoming a data scientist by outlining important skills to learn like statistics, programming, visualization, and big data concepts. It recommends starting with hands-on SQL and statistical learning in R or Python, developing expertise in data visualization, and learning to apply techniques such as regression, classification, and recommendation engines. The document advises demonstrating what you've learned by applying for data scientist positions.
This document discusses how big data is transforming business intelligence. It outlines some of the pains of traditional BI, including maintaining large data warehouses and only considering structured data. The document advocates for an open source approach using Hadoop as an "extended data warehouse" to address these issues. Examples of recent Solocal Group projects involving real-time business analytics and a search power selector are provided. Advice is given on how companies can activate big data projects and start the BI transformation.
Big Data analytics is revolutionizing the sports industry by helping teams and players analyze massive amounts of data to improve performance, prevent injuries, and enhance the fan experience. Sports teams are collecting data from cameras, sensors, wearables and other sources to analyze player performance, predict outcomes, and develop strategies. This data combined with analytics allows teams to gain competitive advantages and fans to more accurately predict winners. While big data provides insights, human experience and instincts are still needed to apply the strategies during games.
The document details the use of the Beaconstac analytics platform, which focuses on proximity marketing via beacons and utilizes event data analysis. It explains the integration of Hadoop and Amazon EMR for processing event logs and the management of data pipelines to generate insights, such as heat maps and user interactions. Production integration involves running a customized data pipeline that processes jobs and outputs results into Elastic Search.
Big data solutions are enabling healthcare providers to transform into more patient-centered, collaborative care models driven by analytics. As basic needs are met and advanced applications emerge, new use cases will arise from sources like wearable devices and sensors. Predictive analytics using big data can help fill gaps by predicting things like missed appointments, noncompliance, and patient trajectories in order to proactively manage care. However, barriers to using big data include a lack of expertise and the fact that big data has a different structure and is more unstructured than traditional databases.
Big data refers to extremely large data sets that are difficult to process using traditional data processing applications. Hadoop is an open-source software framework that structures big data for analytics purposes using a distributed computing architecture. Demand for big data skills like Hadoop development and administration is increasing significantly, with salaries offering healthy premiums, as more organizations use big data analytics to make important predictions. DeZyre offers job-skills training courses developed jointly with industry partners, delivered through an interactive online platform, to help people learn skills like Hadoop from experts and get certified.
25 things that make Amazons Jeff Bezos, Jeff BezosDeZyre
?
The document highlights key aspects of Jeff Bezos's leadership style and company culture at Amazon, such as his direct involvement with customer complaints and a unique meeting structure that emphasizes thorough preparation. Bezos is known for demanding high standards, intolerance for incompetence, and challenging employees to think critically and innovate. Many former employees describe Amazon's environment as a 'gladiator culture' marked by high pressure and a mix of startup agility and corporate structure.
NVIDIA Triton Inference Server, a game-changing platform for deploying AI mod...Tamanna36
?
NVIDIA Triton Inference Server! ?
Learn how Triton streamlines AI model deployment with dynamic batching, support for TensorFlow, PyTorch, ONNX, and more, plus GPU-optimized performance. From YOLO11 object detection to NVIDIA Dynamo’s future, it’s your guide to scalable AI inference.
Check out the slides and share your thoughts! ?
#AI #NVIDIA #TritonInferenceServer #MachineLearning
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
The Influence off Flexible Work Policiessales480687
?
This topic explores how flexible work policies—such as remote work, flexible hours, and hybrid models—are transforming modern workplaces. It examines the impact on employee productivity, job satisfaction, work-life balance, and organizational performance. The topic also addresses challenges such as communication gaps, maintaining company culture, and ensuring accountability. Additionally, it highlights how flexible work arrangements can attract top talent, promote inclusivity, and adapt businesses to an evolving global workforce. Ultimately, it reflects the shift in how and where work gets done in the 21st century.
This document discusses how big data is transforming business intelligence. It outlines some of the pains of traditional BI, including maintaining large data warehouses and only considering structured data. The document advocates for an open source approach using Hadoop as an "extended data warehouse" to address these issues. Examples of recent Solocal Group projects involving real-time business analytics and a search power selector are provided. Advice is given on how companies can activate big data projects and start the BI transformation.
Big Data analytics is revolutionizing the sports industry by helping teams and players analyze massive amounts of data to improve performance, prevent injuries, and enhance the fan experience. Sports teams are collecting data from cameras, sensors, wearables and other sources to analyze player performance, predict outcomes, and develop strategies. This data combined with analytics allows teams to gain competitive advantages and fans to more accurately predict winners. While big data provides insights, human experience and instincts are still needed to apply the strategies during games.
The document details the use of the Beaconstac analytics platform, which focuses on proximity marketing via beacons and utilizes event data analysis. It explains the integration of Hadoop and Amazon EMR for processing event logs and the management of data pipelines to generate insights, such as heat maps and user interactions. Production integration involves running a customized data pipeline that processes jobs and outputs results into Elastic Search.
Big data solutions are enabling healthcare providers to transform into more patient-centered, collaborative care models driven by analytics. As basic needs are met and advanced applications emerge, new use cases will arise from sources like wearable devices and sensors. Predictive analytics using big data can help fill gaps by predicting things like missed appointments, noncompliance, and patient trajectories in order to proactively manage care. However, barriers to using big data include a lack of expertise and the fact that big data has a different structure and is more unstructured than traditional databases.
Big data refers to extremely large data sets that are difficult to process using traditional data processing applications. Hadoop is an open-source software framework that structures big data for analytics purposes using a distributed computing architecture. Demand for big data skills like Hadoop development and administration is increasing significantly, with salaries offering healthy premiums, as more organizations use big data analytics to make important predictions. DeZyre offers job-skills training courses developed jointly with industry partners, delivered through an interactive online platform, to help people learn skills like Hadoop from experts and get certified.
25 things that make Amazons Jeff Bezos, Jeff BezosDeZyre
?
The document highlights key aspects of Jeff Bezos's leadership style and company culture at Amazon, such as his direct involvement with customer complaints and a unique meeting structure that emphasizes thorough preparation. Bezos is known for demanding high standards, intolerance for incompetence, and challenging employees to think critically and innovate. Many former employees describe Amazon's environment as a 'gladiator culture' marked by high pressure and a mix of startup agility and corporate structure.
NVIDIA Triton Inference Server, a game-changing platform for deploying AI mod...Tamanna36
?
NVIDIA Triton Inference Server! ?
Learn how Triton streamlines AI model deployment with dynamic batching, support for TensorFlow, PyTorch, ONNX, and more, plus GPU-optimized performance. From YOLO11 object detection to NVIDIA Dynamo’s future, it’s your guide to scalable AI inference.
Check out the slides and share your thoughts! ?
#AI #NVIDIA #TritonInferenceServer #MachineLearning
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
The Influence off Flexible Work Policiessales480687
?
This topic explores how flexible work policies—such as remote work, flexible hours, and hybrid models—are transforming modern workplaces. It examines the impact on employee productivity, job satisfaction, work-life balance, and organizational performance. The topic also addresses challenges such as communication gaps, maintaining company culture, and ensuring accountability. Additionally, it highlights how flexible work arrangements can attract top talent, promote inclusivity, and adapt businesses to an evolving global workforce. Ultimately, it reflects the shift in how and where work gets done in the 21st century.