How to install OpenStack MITAKA --allinone - cheat sheet -Naoto MATSUMOTO
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How to install OpenStack MITAKA --allinone - cheat sheet -
27-Jun, 2016
SAKURA Internet, Inc. / SAKURA Internet Research Center
Senior Researcher / Naoto MATSUMOTO
This document summarizes a presentation on predictive analytics and real-time business insights. The presentation discusses what real-time analytics are, challenges in implementing them, and key aspects of building an effective analytical framework. It provides examples of potential use cases in various business functions and outlines considerations for data collection, analysis, and taking appropriate actions in response to insights. The goal is to demonstrate how real-time analytics can provide value when properly optimized and integrated into an organization.
The Role of Data Wrangling in Driving Hadoop AdoptionInside Analysis
?
The Briefing Room with Mark Madsen and Trifacta
Live Webcast September 1, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=eb655874d04ba7d560be87a9d906dd2fd
Like all enterprise software solutions, Hadoop must deliver business value in order to be a success. Much of the innovation around the big data industry these days therefore addresses usability. While there will always be a technical side to the Hadoop equation, the need for user-friendly tools to manage the data will continue to focus on business users. That’s why self-service data preparation or "data wrangling" is a serious and growing trend, one which promises to move Hadoop beyond the early adopter phase and more into the mainstream of business.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain why business users will play an increasingly important role in the evolution of big data. He’ll be briefed by Trifacta's Will Davis and Alon Bartur, who will demonstrate how Trifacta's solution empowers business users to “wrangle" data of all shapes and sizes faster and easier than ever before. They’ll discuss why a new approach to accessing and preparing diverse data is required and how it can accelerate and broaden the use of big data within organizations.
Visit InsideAnalysis.com for more information.
Data Wrangling and the Art of Big Data DiscoveryInside Analysis
?
The Briefing Room with Dr. Robin Bloor, Trifacta and Zoomdata
Live Webcast March 10, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=dd9fed3c7c476ae3a0f881ae6b53dcc5
Square pegs and round holes don't get along, which is one reason why traditional data management approaches simply won't work for Big Data. The variety and velocity of data types flying at us today require a new strategy for identifying, streamlining and utilizing information assets and processes. Decades-old technology won’t cut it – a combination of new tools and techniques must be used to enable effective discovery of insights in a timely fashion.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why today's data landscape calls for a much different data management approach. He'll be briefed by Trifacta and Zoomdata, who will show how their technologies use a range of functionality – including machine learning – to help companies "wrangle" their data. They'll also demonstrate the optimal step-by-step process of working with new data types.
Visit InsideAnalysis.com for more information.
Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling"
This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches.
In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html
Impact of health education on tuberculosis drug adherenceSkillet Tony
?
Adherence is defined as the extent to which patients follow the instructions they are given for prescribed treatments. Until recently, adherence expertise was hard to find, assemble and empower. The study shall solely aim at investigating the influence of patients’ health education on Tuberculosis drug adherence. It will be guided by the following specific objectives; to identify the level of adherence among TB patients at MTRH, to assess the level of patient’s health education on TB drugs, to identify barriers of TB education, to investigate the challenges facing TB patients on treatment and to determine the level of training given to health workers on TB drug adherence. These objectives will enable the researcher to elaborate more on the topic and ensure that those who read through this research shall have a better perspective on the effects of health education on tuberculosis drug adherence. It will take place between the months of July and August. The study will target 17 doctors, 119 nurses and 143 patients of Tuberculosis. The study will employ a case study research design. The case study will enable the researcher be able to collected detailed information as to the influence of patients’ health education on TB drug adherence. The study will employ purposive sampling to sample the doctors and simple random sampling to select both the nurses and the patients who will participate in the study. The researcher will use one research instrument to collect data from the respondents selected to participate in the study which is a questionnaire that will be issued to the respondents on the day of the data collection.
High Availability Server Clustering without ILB(Internal Load Balancer) (MEMO)Naoto MATSUMOTO
?
High Availability Server Clustering without ILB(Internal Load Balancer) (MEMO)
20-Feb-2015
SAKURA Internet Research Center.
Senior Researcher / Naoto MATSUMOTO
Topic: Moving from Cloud Computing to Fog Computing: How the “Internet of Things will Change the Way We Live and Work
Speaker: Jeff Hagins, Co-founder & CTO, SmartThings
This document discusses fog computing, which extends cloud computing to the edge of the network. It describes the existing cloud computing model and proposes fog computing as an alternative to address issues like latency. Key topics covered include security issues, privacy issues, potential scenarios and applications of fog computing, and ideas for future enhancement.
The document discusses key details from India's 2011 Census:
- India's population increased 181 million from 2001 to 1.21 billion in 2011. The gap with China narrowed but widened with the US.
- Uttar Pradesh and Maharashtra have the highest populations, while Thane district has the most people of any district.
- India's sex ratio improved to 940 females per 1000 males, the highest since 1971.
- Literacy rates vary widely by state, from over 98% in Mizoram to 37% in one MP district.
- Mobile phone ownership exceeds access to toilets, with landlines at 10% and mobiles at 59% penetration.
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
This document discusses loading data from Hadoop into Oracle databases using Oracle connectors. It describes how the Oracle Loader for Hadoop and Oracle SQL Connector for HDFS can load data from HDFS into Oracle tables much faster than traditional methods like Sqoop by leveraging parallel processing in Hadoop. The connectors optimize the loading process by automatically partitioning, sorting, and formatting the data into Oracle blocks to achieve high performance loads. Measuring the CPU time needed per gigabyte loaded allows estimating how long full loads will take based on available resources.
This document discusses the evolution of database technology and data mining. It provides a brief history of databases from the 1960s to the 2010s and their purposes over time. It then discusses the motivation for data mining, noting the explosion in data collection and need to extract useful knowledge from large databases. The rest of the document defines data mining, outlines the basic process, discusses common techniques like classification and clustering, and provides examples of data mining applications in industries like telecommunications, finance, and retail.
Real-Time Analytics with Apache Cassandra and Apache SparkGuido Schmutz
?
This document provides an overview of real-time analytics with Apache Cassandra and Apache Spark. It discusses how Spark can be used for stream processing over Cassandra for storage. Spark Streaming ingests real-time data from sources like Kafka and processes it using Spark transformations and actions. The processed data can be stored in Cassandra for querying. Cassandra is well suited for high write throughput and storing large amounts of data, while Spark enables fast in-memory processing and machine learning capabilities. Together, Spark and Cassandra provide a scalable solution for real-time analytics and querying of large datasets.
The Role of Data Wrangling in Driving Hadoop AdoptionInside Analysis
?
The Briefing Room with Mark Madsen and Trifacta
Live Webcast September 1, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=eb655874d04ba7d560be87a9d906dd2fd
Like all enterprise software solutions, Hadoop must deliver business value in order to be a success. Much of the innovation around the big data industry these days therefore addresses usability. While there will always be a technical side to the Hadoop equation, the need for user-friendly tools to manage the data will continue to focus on business users. That’s why self-service data preparation or "data wrangling" is a serious and growing trend, one which promises to move Hadoop beyond the early adopter phase and more into the mainstream of business.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain why business users will play an increasingly important role in the evolution of big data. He’ll be briefed by Trifacta's Will Davis and Alon Bartur, who will demonstrate how Trifacta's solution empowers business users to “wrangle" data of all shapes and sizes faster and easier than ever before. They’ll discuss why a new approach to accessing and preparing diverse data is required and how it can accelerate and broaden the use of big data within organizations.
Visit InsideAnalysis.com for more information.
Data Wrangling and the Art of Big Data DiscoveryInside Analysis
?
The Briefing Room with Dr. Robin Bloor, Trifacta and Zoomdata
Live Webcast March 10, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=dd9fed3c7c476ae3a0f881ae6b53dcc5
Square pegs and round holes don't get along, which is one reason why traditional data management approaches simply won't work for Big Data. The variety and velocity of data types flying at us today require a new strategy for identifying, streamlining and utilizing information assets and processes. Decades-old technology won’t cut it – a combination of new tools and techniques must be used to enable effective discovery of insights in a timely fashion.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why today's data landscape calls for a much different data management approach. He'll be briefed by Trifacta and Zoomdata, who will show how their technologies use a range of functionality – including machine learning – to help companies "wrangle" their data. They'll also demonstrate the optimal step-by-step process of working with new data types.
Visit InsideAnalysis.com for more information.
Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling"
This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches.
In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html
Impact of health education on tuberculosis drug adherenceSkillet Tony
?
Adherence is defined as the extent to which patients follow the instructions they are given for prescribed treatments. Until recently, adherence expertise was hard to find, assemble and empower. The study shall solely aim at investigating the influence of patients’ health education on Tuberculosis drug adherence. It will be guided by the following specific objectives; to identify the level of adherence among TB patients at MTRH, to assess the level of patient’s health education on TB drugs, to identify barriers of TB education, to investigate the challenges facing TB patients on treatment and to determine the level of training given to health workers on TB drug adherence. These objectives will enable the researcher to elaborate more on the topic and ensure that those who read through this research shall have a better perspective on the effects of health education on tuberculosis drug adherence. It will take place between the months of July and August. The study will target 17 doctors, 119 nurses and 143 patients of Tuberculosis. The study will employ a case study research design. The case study will enable the researcher be able to collected detailed information as to the influence of patients’ health education on TB drug adherence. The study will employ purposive sampling to sample the doctors and simple random sampling to select both the nurses and the patients who will participate in the study. The researcher will use one research instrument to collect data from the respondents selected to participate in the study which is a questionnaire that will be issued to the respondents on the day of the data collection.
High Availability Server Clustering without ILB(Internal Load Balancer) (MEMO)Naoto MATSUMOTO
?
High Availability Server Clustering without ILB(Internal Load Balancer) (MEMO)
20-Feb-2015
SAKURA Internet Research Center.
Senior Researcher / Naoto MATSUMOTO
Topic: Moving from Cloud Computing to Fog Computing: How the “Internet of Things will Change the Way We Live and Work
Speaker: Jeff Hagins, Co-founder & CTO, SmartThings
This document discusses fog computing, which extends cloud computing to the edge of the network. It describes the existing cloud computing model and proposes fog computing as an alternative to address issues like latency. Key topics covered include security issues, privacy issues, potential scenarios and applications of fog computing, and ideas for future enhancement.
The document discusses key details from India's 2011 Census:
- India's population increased 181 million from 2001 to 1.21 billion in 2011. The gap with China narrowed but widened with the US.
- Uttar Pradesh and Maharashtra have the highest populations, while Thane district has the most people of any district.
- India's sex ratio improved to 940 females per 1000 males, the highest since 1971.
- Literacy rates vary widely by state, from over 98% in Mizoram to 37% in one MP district.
- Mobile phone ownership exceeds access to toilets, with landlines at 10% and mobiles at 59% penetration.
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
This document discusses loading data from Hadoop into Oracle databases using Oracle connectors. It describes how the Oracle Loader for Hadoop and Oracle SQL Connector for HDFS can load data from HDFS into Oracle tables much faster than traditional methods like Sqoop by leveraging parallel processing in Hadoop. The connectors optimize the loading process by automatically partitioning, sorting, and formatting the data into Oracle blocks to achieve high performance loads. Measuring the CPU time needed per gigabyte loaded allows estimating how long full loads will take based on available resources.
This document discusses the evolution of database technology and data mining. It provides a brief history of databases from the 1960s to the 2010s and their purposes over time. It then discusses the motivation for data mining, noting the explosion in data collection and need to extract useful knowledge from large databases. The rest of the document defines data mining, outlines the basic process, discusses common techniques like classification and clustering, and provides examples of data mining applications in industries like telecommunications, finance, and retail.
Real-Time Analytics with Apache Cassandra and Apache SparkGuido Schmutz
?
This document provides an overview of real-time analytics with Apache Cassandra and Apache Spark. It discusses how Spark can be used for stream processing over Cassandra for storage. Spark Streaming ingests real-time data from sources like Kafka and processes it using Spark transformations and actions. The processed data can be stored in Cassandra for querying. Cassandra is well suited for high write throughput and storing large amounts of data, while Spark enables fast in-memory processing and machine learning capabilities. Together, Spark and Cassandra provide a scalable solution for real-time analytics and querying of large datasets.
This document provides instructions for receiving signals from ADS-B, AIS, and APRS systems using a software defined radio (SDR) on Ubuntu. It outlines the steps to install various software packages like dump1090, rtl-ais, gnuais, and multimon-ng. It also provides sample commands for decoding ADS-B transmissions on 1090MHz, AIS transmissions on 161.975/162.025MHz, and APRS signals on 144.640/431.040MHz using tools like dump1090, rtl_ais, gnuais, and multimon-ng in conjunction with the rtl-sdr SDR device.
What Makes "Deep Research"? A Dive into AI AgentsZilliz
?
About this webinar:
Unless you live under a rock, you will have heard about OpenAI’s release of Deep Research on Feb 2, 2025. This new product promises to revolutionize how we answer questions requiring the synthesis of large amounts of diverse information. But how does this technology work, and why is Deep Research a noticeable improvement over previous attempts? In this webinar, we will examine the concepts underpinning modern agents using our basic clone, Deep Searcher, as an example.
Topics covered:
Tool use
Structured output
Reflection
Reasoning models
Planning
Types of agentic memory
EaseUS Partition Master Crack 2025 + Serial Keykherorpacca127
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https://ncracked.com/7961-2/
Note: >> Please copy the link and paste it into Google New Tab now Download link
EASEUS Partition Master Crack is a professional hard disk partition management tool and system partition optimization software. It is an all-in-one PC and server disk management toolkit for IT professionals, system administrators, technicians, and consultants to provide technical services to customers with unlimited use.
EASEUS Partition Master 18.0 Technician Edition Crack interface is clean and tidy, so all options are at your fingertips. Whether you want to resize, move, copy, merge, browse, check, convert partitions, or change their labels, you can do everything with a few clicks. The defragmentation tool is also designed to merge fragmented files and folders and store them in contiguous locations on the hard drive.
FinTech - US Annual Funding Report - 2024.pptxTracxn
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US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
UiPath Agentic Automation Capabilities and OpportunitiesDianaGray10
?
Learn what UiPath Agentic Automation capabilities are and how you can empower your agents with dynamic decision making. In this session we will cover these topics:
What do we mean by Agents
Components of Agents
Agentic Automation capabilities
What Agentic automation delivers and AI Tools
Identifying Agent opportunities
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
UiPath Automation Developer Associate Training Series 2025 - Session 1DianaGray10
?
Welcome to UiPath Automation Developer Associate Training Series 2025 - Session 1.
In this session, we will cover the following topics:
Introduction to RPA & UiPath Studio
Overview of RPA and its applications
Introduction to UiPath Studio
Variables & Data Types
Control Flows
You are requested to finish the following self-paced training for this session:
Variables, Constants and Arguments in Studio 2 modules - 1h 30m - https://academy.uipath.com/courses/variables-constants-and-arguments-in-studio
Control Flow in Studio 2 modules - 2h 15m - https:/academy.uipath.com/courses/control-flow-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
Transform Your Future with Front-End Development TrainingVtechlabs
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Kickstart your career in web development with our front-end web development course in Vadodara. Learn HTML, CSS, JavaScript, React, and more through hands-on projects and expert mentorship. Our front-end development course with placement includes real-world training, mock interviews, and job assistance to help you secure top roles like Front-End Developer, UI/UX Developer, and Web Designer.
Join VtechLabs today and build a successful career in the booming IT industry!
World Information Architecture Day 2025 - UX at a CrossroadsJoshua Randall
?
User Experience stands at a crossroads: will we live up to our potential to design a better world? or will we be co-opted by “product management” or another business buzzword?
Looking backwards, this talk will show how UX has repeatedly failed to create a better world, drawing on industry data from Nielsen Norman Group, Baymard, MeasuringU, WebAIM, and others.
Looking forwards, this talk will argue that UX must resist hype, say no more often and collaborate less often (you read that right), and become a true profession — in order to be able to design a better world.
https://ncracked.com/7961-2/
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Free Download Wondershare Filmora 14.3.2.11147 Full Version - All-in-one home video editor to make a great video.Free Download Wondershare Filmora for Windows PC is an all-in-one home video editor with powerful functionality and a fully stacked feature set. Filmora has a simple drag-and-drop top interface, allowing you to be artistic with the story you want to create.Video Editing Simplified - Ignite Your Story. A powerful and intuitive video editing experience. Filmora 10 hash two new ways to edit: Action Cam Tool (Correct lens distortion, Clean up your audio, New speed controls) and Instant Cutter (Trim or merge clips quickly, Instant export).Filmora allows you to create projects in 4:3 or 16:9, so you can crop the videos or resize them to fit the size you want. This way, quickly converting a widescreen material to SD format is possible.
The Future of Repair: Transparent and Incremental by Botond De?nesScyllaDB
?
Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
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In this presentation, I will discuss how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
This is session #4 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. You’ll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
[Webinar] Scaling Made Simple: Getting Started with No-Code Web AppsSafe Software
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Ready to simplify workflow sharing across your organization without diving into complex coding? With FME Flow Apps, you can build no-code web apps that make your data work harder for you — fast.
In this webinar, we’ll show you how to:
Build and deploy Workspace Apps to create an intuitive user interface for self-serve data processing and validation.
Automate processes using Automation Apps. Learn to create a no-code web app to kick off workflows tailored to your needs, trigger multiple workspaces and external actions, and use conditional filtering within automations to control your workflows.
Create a centralized portal with Gallery Apps to share a collection of no-code web apps across your organization.
Through real-world examples and practical demos, you’ll learn how to transform your workflows into intuitive, self-serve solutions that empower your team and save you time. We can’t wait to show you what’s possible!
Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
DealBook of Ukraine: 2025 edition | AVentures CapitalYevgen Sysoyev
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The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2024 and the first deals of 2025.
Computational Photography: How Technology is Changing Way We Capture the WorldHusseinMalikMammadli
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? Computational Photography (Computer Vision/Image): How Technology is Changing the Way We Capture the World
He? dü?ünmüsünüzmü, müasir smartfonlar v? kameralar nec? bu q?d?r g?z?l g?rüntül?r yarad?r? Bunun sirri Computational Fotoqrafiyas?nda(Computer Vision/Imaging) gizlidir—??kill?ri ??km? v? emal etm? üsulumuzu t?kmill??dir?n, kompüter elmi il? fotoqrafiyan?n inqilabi birl??m?si.
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
How Discord Indexes Trillions of Messages: Scaling Search Infrastructure by V...ScyllaDB
?
This talk shares how Discord scaled their message search infrastructure using Rust, Kubernetes, and a multi-cluster Elasticsearch architecture to achieve better performance, operability, and reliability, while also enabling new search features for Discord users.
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
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This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
2. OUR GOAL & CONTRIBUTIONS
1) Make the "Data Brokering" specification and business model.
-Business System Layer-
<by Osamu OGASAHARA>
2) Make the Best Current Practice "Fog Computing" Style Dataflow.
-Connectivity, Edge Aggregation, Analytics and Security Layer-
<by Naoto MATSUMOTO>
3) Make the PoC for OpenFog Architecture.
<by Osamu OGASAHARA, Naoto MATSUMOTO>