Practical Real Time Data Processing And Analytics
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Practical Real Time Data Processing And Analytics
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Author : Shilpi Saxena
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-09-28
Practical Real Time Data Processing And Analytics written by Shilpi Saxena and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Computers categories.
A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn Get an introduction to the established real-time stack Understand the key integration of all the components Get a thorough understanding of the basic building blocks for real-time solution designing Garnish the search and visualization aspects for your real-time solution Get conceptually and practically acquainted with real-time analytics Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.
Practical Real Time Data Processing And Analytics
DOWNLOAD
Author : Shilpi Saxena
language : en
Publisher: Packt Publishing
Release Date : 2017-09-28
Practical Real Time Data Processing And Analytics written by Shilpi Saxena and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Computers categories.
A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenarioAbout This Book* Learn about the various challenges in real-time data processing and use the right tools to overcome them* This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems* A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-timeWho This Book Is ForIf you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great.What You Will Learn* Get an introduction to the established real-time stack* Understand the key integration of all the components* Get a thorough understanding of the basic building blocks for real-time solution designing* Garnish the search and visualization aspects for your real-time solution* Get conceptually and practically acquainted with real-time analytics* Be well equipped to apply the knowledge and create your own solutionsIn DetailWith the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible.This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own.We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case.By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner.Style and ApproachIn this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.
Design Of Secure Iot Systems A Practical Approach Across Industries
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Author : Sumeet Arora
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-07-16
Design Of Secure Iot Systems A Practical Approach Across Industries written by Sumeet Arora and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-16 with Technology & Engineering categories.
Build secure IoT devices and networks for a wide range of industries This practical guide fully explains the technology behind the Internet of Things, machine-to-machine communication, and automation. Written by a team of experts from leading firms, Design of Secure IoT Systems: A Practical Approach Across Industries covers all aspects of system architecture, protocols, requirements, and design. You will discover how to design and engineer IoT devices and networks with trust and security. The book features industrial automation case studies and simulation examples from a wide range of fields. Coverage includes: IoT architecture and technology fundamentals Connected machines and M2M communication Network protocols and architecture IoT hardware design fundamentals WAN, IP, and MAC configuration IoT data systems design Designing with trust and security Data security policies and regulations Cybersecurity threats and risks Automation Use cases across industries Industry compliance and standards
Practical Time Series Analysis
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Author : Dr. Avishek Pal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-09-28
Practical Time Series Analysis written by Dr. Avishek Pal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Computers categories.
Step by Step guide filled with real world practical examples. About This Book Get your first experience with data analysis with one of the most powerful types of analysis—time-series. Find patterns in your data and predict the future pattern based on historical data. Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide Who This Book Is For This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods. What You Will Learn Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project Develop an understanding of loading, exploring, and visualizing time-series data Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series Take advantage of exponential smoothing to tackle noise in time series data Learn how to use auto-regressive models to make predictions using time-series data Build predictive models on time series using techniques based on auto-regressive moving averages Discover recent advancements in deep learning to build accurate forecasting models for time series Gain familiarity with the basics of Python as a powerful yet simple to write programming language In Detail Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. Style and approach This book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.
Apache Kafka In Action
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Author : Anatoly Zelenin
language : en
Publisher: Simon and Schuster
Release Date : 2025-06-03
Apache Kafka In Action written by Anatoly Zelenin and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.
Apache Kafka, start to finish. Apache Kafka in Action: From basics to production guides you through the concepts and skills you’ll need to deploy and administer Kafka for data pipelines, event-driven applications, and other systems that process data streams from multiple sources. Authors Anatoly Zelenin and Alexander Kropp have spent years using Kafka in real-world production environments. In this guide, they reveal their hard-won expert insights to help you avoid common Kafka pitfalls and challenges. Inside Apache Kafka in Action you’ll discover: • Apache Kafka from the ground up • Achieving reliability and performance • Troubleshooting Kafka systems • Operations, governance, and monitoring • Kafka use cases, patterns, and anti-patterns Clear, concise, and practical, Apache Kafka in Action is written for IT operators, software engineers, and IT architects working with Kafka every day. Chapter by chapter, it guides you through the skills you need to deliver and maintain reliable and fault-tolerant data-driven applications. Foreword by Adam Bellemare. About the technology Apache Kafka is the gold standard streaming data platform for real-time analytics, event sourcing, and stream processing. Acting as a central hub for distributed data, it enables seamless flow between producers and consumers via a publish-subscribe model. Kafka easily handles millions of events per second, and its rock-solid design ensures high fault tolerance and smooth scalability. About the book Apache Kafka in Action is a practical guide for IT professionals who are integrating Kafka into data-intensive applications and infrastructures. The book covers everything from Kafka fundamentals to advanced operations, with interesting visuals and real-world examples. Readers will learn to set up Kafka clusters, produce and consume messages, handle real-time streaming, and integrate Kafka into enterprise systems. This easy-to-follow book emphasizes building reliable Kafka applications and taking advantage of its distributed architecture for scalability and resilience. What's inside • Master Kafka’s distributed streaming capabilities • Implement real-time data solutions • Integrate Kafka into enterprise environments • Build and manage Kafka applications • Achieve fault tolerance and scalability About the reader For IT operators, software architects and developers. No experience with Kafka required. About the author Anatoly Zelenin is a Kafka expert known for workshops across Europe, especially in banking and manufacturing. Alexander Kropp specializes in Kafka and Kubernetes, contributing to cloud platform design and monitoring. Table of Contents Part 1 1 Introduction to Apache Kafka 2 First steps with Kafka Part 2 3 Exploring Kafka topics and messages 4 Kafka as a distributed log 5 Reliability 6 Performance Part 3 7 Cluster management 8 Producing and persisting messages 9 Consuming messages 10 Cleaning up messages Part 4 11 Integrating external systems with Kafka Connect 12 Stream processing 13 Governance 14 Kafka reference architecture 15 Kafka monitoring and alerting16 Disaster management 17 Comparison with other technologies 18 Kafka’s role in modern enterprise architectures Appendixes A Setting up a Kafka test environment B Monitoring setup
Managing Information
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Author :
language : en
Publisher:
Release Date : 2001
Managing Information written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Information resources management categories.
Rapid Modernization Of Java Applications Practical Business And Technical Solutions For Upgrading Your Enterprise Portfolio
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Author : G. Venkat
language : en
Publisher: McGraw Hill Professional
Release Date : 2017-10-06
Rapid Modernization Of Java Applications Practical Business And Technical Solutions For Upgrading Your Enterprise Portfolio written by G. Venkat and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-06 with Computers categories.
Implement a High-Performance Enterprise Java Application Modernization Strategy Learn cutting-edge techniques and processes to systematically and strategically modernize legacy Java applications with predictability, consistency, and confidence. This Oracle Press guide offers an innovative blueprint that empowers corporate management teams to better understand necessary technical requirements and enables Java architects and developers to better align with agile business needs. Rapid Modernization of Java Applications: Practical Business and Technical Solutions for Upgrading Your Enterprise Portfolio contains modernization approaches that offer end-to-end Java application portfolio visibility so that application modernization projects can stay on-schedule and within budget.
Practical Business Intelligence With Sql Server 2005
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Author : John Christian Hancock
language : en
Publisher: Addison-Wesley Professional
Release Date : 2006
Practical Business Intelligence With Sql Server 2005 written by John Christian Hancock and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
In this book, two of Microsoft's leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft's strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management.
Data Processing Digest
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Author :
language : en
Publisher:
Release Date : 1988
Data Processing Digest written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Business categories.
Proceedings Of The National Conference On Computing For Nation Development
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Author :
language : en
Publisher:
Release Date : 2007
Proceedings Of The National Conference On Computing For Nation Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computer networks categories.