Mastering Apache Flink
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Mastering Apache Flink
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26
Mastering Apache Flink written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.
Harness the Power of Stream Processing and Batch Data Analytics Are you ready to dive into the world of stream processing and batch data analytics with Apache Flink? "Mastering Apache Flink" is your comprehensive guide to unlocking the full potential of this cutting-edge framework for real-time data processing. Whether you're a data engineer looking to optimize data flows or a data scientist aiming to derive insights from large datasets, this book equips you with the knowledge and tools to master the art of Flink-based data processing. Key Features: 1. In-Depth Exploration of Apache Flink: Immerse yourself in the core principles of Apache Flink, understanding its architecture, components, and capabilities. Build a solid foundation that empowers you to process data in both real-time and batch modes. 2. Installation and Configuration: Master the art of installing and configuring Apache Flink on various platforms. Learn about cluster setup, resource management, and configuration tuning for optimal performance. 3. Flink Data Streams: Dive into Flink's data stream processing capabilities. Explore event time processing, windowing, and stateful computations for real-time data analysis. 4. Flink Batch Processing: Uncover the power of Flink for batch data analytics. Learn how to process large datasets using Flink's batch processing mode for efficient analysis. 5. Flink SQL: Delve into Flink's SQL and Table API. Discover how to write SQL queries and perform transformations on structured and semi-structured data for intuitive data manipulation. 6. Flink's State Management: Master Flink's state management mechanisms. Learn how to manage application state for fault tolerance and how to work with savepoints and checkpoints. 7. Complex Event Processing with CEP: Explore Flink's complex event processing capabilities. Learn how to detect patterns, anomalies, and trends in data streams for real-time insights. 8. Machine Learning with FlinkML: Embark on a journey into machine learning with FlinkML. Learn how to implement predictive analytics and machine learning algorithms for data-driven models. 9. Flink Ecosystem and Integrations: Navigate Flink's ecosystem of libraries and integrations. From data ingestion with Apache Kafka to collaborative analytics with Zeppelin, explore tools that enhance Flink's functionalities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Flink across industries. From IoT data processing to fraud detection, explore how organizations leverage Flink for real-time insights. Who This Book Is For: "Mastering Apache Flink" is an indispensable resource for data engineers, analysts, and IT professionals who want to excel in stream processing and batch data analytics using Flink. Whether you're new to Flink or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this powerful framework.
Mastering Apache Hudi
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-06
Mastering Apache Hudi written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Computers categories.
"Mastering Apache Hudi: Building Real-Time Data Lakes" is an authoritative guide designed to equip data engineers, architects, and IT professionals with the knowledge and skills needed to leverage Apache Hudi’s powerful capabilities in managing dynamic, continuously evolving datasets. As organizations worldwide strive to harness the vast streams of real-time data for actionable insights, this book demystifies the intricacies of deploying and optimizing Hudi, turning traditional data lakes into agile, real-time analytical engines. This comprehensive resource covers a spectrum of essential topics, from the architectural components underpinning Hudi’s functionality to practical strategies for seamless integration with existing big data ecosystems. Readers will gain invaluable insights into performance tuning, schema evolution, and data governance, alongside real-world case studies that highlight industry best practices and successful Hudi implementations. With step-by-step guidance and expert insights, this book empowers professionals to transform their data infrastructures, enabling rapid and informed decision-making in a data-driven world.
Mastering Apache Pulsar
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Author : Jowanza Joseph
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-06
Mastering Apache Pulsar written by Jowanza Joseph and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Computers categories.
Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto
Mastering Apache Arrow
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-01
Mastering Apache Arrow written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.
"Mastering Apache Arrow: Accelerating Data Processing and In-Memory Analytics," is an indispensable resource designed to deepen your understanding of Apache Arrow's role in modern data technology. This comprehensive guide takes readers on an enlightening exploration of Arrow’s groundbreaking capabilities, from its advanced architecture to its efficient in-memory data structures. It serves as a vital tool for both beginners looking to grasp the basics and seasoned professionals aiming to harness the full potential of this innovative technology. The book meticulously covers a range of topics including installation and setup, efficient data handling with Arrow Tables and Arrays, and seamless interoperability with other data systems. Readers will learn the intricacies of inter-process communication, memory management, and performance optimization techniques. Enhanced by real-world use cases spanning diverse industries, this book illustrates the transformative impact of Apache Arrow's application in fields such as finance, healthcare, and big data analytics. With clear explanations and step-by-step guidance, this book arms you with practical solutions to common challenges, positioning you to maximize the benefits of Apache Arrow in improving data processing speed and analytic efficiency. Whether you are a data scientist, software engineer, or IT professional, "Mastering Apache Arrow" empowers you to elevate your approach to data analytics and prepares you for the evolving demands of data-driven innovation.
Mastering Apache Iceberg
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-05
Mastering Apache Iceberg written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-05 with Computers categories.
"Mastering Apache Iceberg: Managing Big Data in a Modern Data Lake" is an essential guide for data professionals seeking to harness the power of Apache Iceberg in optimizing their data lake strategies. As organizations grapple with ever-growing volumes of structured and unstructured data, the need for efficient, scalable, and reliable data management solutions has never been more critical. Apache Iceberg, an open-source project revered for its robust table format and advanced capabilities, stands out as a formidable tool designed to address the complexities of modern data environments. This comprehensive text delves into the intricacies of Apache Iceberg, offering readers clear guidance on its setup, operation, and optimization. From understanding the foundational architecture of Iceberg tables to implementing effective data partitioning and clustering techniques, the book covers a wide spectrum of key topics necessary for mastering this technology. It provides practical insights into optimizing query performance, ensuring data quality and governance, and integrating with broader big data ecosystems. Rich with case studies, the book illustrates real-world applications across various industries, demonstrating Iceberg's capacity to transform data management approaches and drive decision-making excellence. Designed for data architects, engineers, and IT professionals, "Mastering Apache Iceberg" combines theoretical knowledge with actionable strategies, empowering readers to implement Iceberg effectively within their organizational frameworks. Whether you're new to Apache Iceberg or looking to deepen your expertise, this book serves as a crucial resource for unlocking the full potential of big data management, ensuring that your organization remains at the forefront of innovation and efficiency in the data-driven age.
Mastering Apache Pinot
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-12-30
Mastering Apache Pinot written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
"Mastering Apache Pinot: Real-Time Analytics at Scale" is an authoritative resource designed to equip readers with the comprehensive knowledge needed to harness the full potential of Apache Pinot, a powerful real-time distributed OLAP datastore. As the demand for rapid data insights grows, Apache Pinot emerges as a vital tool, enabling organizations to process vast data streams with unmatched speed and efficiency. This book meticulously covers every facet of Apache Pinot, from setup to advanced configuration, providing readers a clear road map to deploying robust, scalable analytic solutions. The text delves into the practicalities of data ingestion, schema design, and query optimization, offering practical guidance for maximizing system performance. Readers will explore how to integrate Pinot with a wide array of data systems, securing data while ensuring seamless access and control. Real-world case studies across diverse industries are presented, demonstrating Apache Pinot's transformative role in driving data-driven decisions. Additionally, the book anticipates future trends and provides insights into best practices, empowering readers to stay ahead in the rapidly evolving analytics landscape. Ideal for data engineers, analysts, and IT professionals, "Mastering Apache Pinot" serves as both an instructive guide and a valuable reference, skillfully blending theoretical concepts with actionable insights. This book invites readers to not only implement effective analytics infrastructure but also actively contribute to the dynamic Apache Pinot community, fostering continued growth and innovation in real-time data processing.
Mastering Apache Pulsar
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Author : Jowanza Joseph
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-06
Mastering Apache Pulsar written by Jowanza Joseph and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Computers categories.
Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto
Stream Processing With Apache Spark
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Author : Gerard Maas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-06-05
Stream Processing With Apache Spark written by Gerard Maas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-05 with Computers categories.
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
Mastering Event Driven Microservices In Aws Design Develop And Deploy Scalable Resilient And Reactive Architectures With Aws Serverless Services
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Author : Lefteris Karageorgiou
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-02-07
Mastering Event Driven Microservices In Aws Design Develop And Deploy Scalable Resilient And Reactive Architectures With Aws Serverless Services written by Lefteris Karageorgiou and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-07 with Computers categories.
Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures Key Features● Master the art of leveraging AWS serverless services to build robust event-driven systems. ● Gain expertise in implementing advanced event-driven patterns in AWS. ● Develop advanced skills in production-ready practices for testing, monitoring, and optimizing event-driven microservices in AWS. Book Description In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. What you will learn ● Design and implement event-driven microservices on AWS seamlessly. ● Leverage AWS serverless services more effectively. ● Build robust, scalable, and fault-tolerant event-driven applications on AWS. ● Implement advanced event-driven patterns on AWS. ● Monitor and troubleshoot event-driven microservices on AWS effectively. ● Secure and optimize event-driven microservices for production workloads on AWS. Table of Contents 1. Introduction to Event-Driven Microservices 2. Designing Event-Driven Microservices in AWS 3. Messaging with Amazon SQS and Amazon SNS 4. Choreography with Amazon EventBridge 5. Orchestration with AWS Step Functions 6. Event Streaming with Amazon Kinesis 7. Testing Event-Driven Systems 8. Monitoring and Troubleshooting 9. Optimizations and Best Practices for Production 10. Real-World Use Cases on AWS Index
Mastering Apache Spark 2 X
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Author : Romeo Kienzler
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-26
Mastering Apache Spark 2 X written by Romeo Kienzler 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 2017-07-26 with Computers categories.
Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.