Apache Zookeeper Essentials
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Apache Zookeeper Essentials
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Author : Saurav Haloi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-01-28
Apache Zookeeper Essentials written by Saurav Haloi 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 2015-01-28 with Computers categories.
Whether you are a novice to ZooKeeper or already have some experience, you will be able to master the concepts of ZooKeeper and its usage with ease. This book assumes you to have some prior knowledge of distributed systems and high-level programming knowledge of C, Java, or Python, but no experience with Apache ZooKeeper is required.
Zookeeper
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Author : Flavio Junqueira
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-11-18
Zookeeper written by Flavio Junqueira 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 2013-11-18 with Computers categories.
Building distributed applications is difficult enough without having to coordinate the actions that make them work. This practical guide shows how Apache ZooKeeper helps you manage distributed systems, so you can focus mainly on application logic. Even with ZooKeeper, implementing coordination tasks is not trivial, but this book provides good practices to give you a head start, and points out caveats that developers and administrators alike need to watch for along the way. In three separate sections, ZooKeeper contributors Flavio Junqueira and Benjamin Reed introduce the principles of distributed systems, provide ZooKeeper programming techniques, and include the information you need to administer this service. Learn how ZooKeeper solves common coordination tasks Explore the ZooKeeper API’s Java and C implementations and how they differ Use methods to track and react to ZooKeeper state changes Handle failures of the network, application processes, and ZooKeeper itself Learn about ZooKeeper’s trickier aspects dealing with concurrency, ordering, and configuration Use the Curator high-level interface for connection management Become familiar with ZooKeeper internals and administration tools
Apache Hive Essentials
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Author : Dayong Du
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-30
Apache Hive Essentials written by Dayong Du 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 2018-06-30 with Computers categories.
This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key Features Grasp the skills needed to write efficient Hive queries to analyze the Big Data Discover how Hive can coexist and work with other tools within the Hadoop ecosystem Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Book Description In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems What you will learn Create and set up the Hive environment Discover how to use Hive's definition language to describe data Discover interesting data by joining and filtering datasets in Hive Transform data by using Hive sorting, ordering, and functions Aggregate and sample data in different ways Boost Hive query performance and enhance data security in Hive Customize Hive to your needs by using user-defined functions and integrate it with other tools Who this book is for If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.
Kafka The Definitive Guide
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Author : Neha Narkhede
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-08-31
Kafka The Definitive Guide written by Neha Narkhede 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 2017-08-31 with Computers categories.
Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems
Solr Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Solr Essentials written by Richard 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 2025-06-18 with Computers categories.
"Solr Essentials" Solr Essentials is the definitive guide for architects, developers, and DevOps professionals seeking a holistic mastery of Apache Solr, the leading open-source enterprise search platform. Beginning with Solr’s origins, core principles, and integration with Apache Lucene, this book establishes a strong foundation in the underlying data model, request lifecycle, and deployment architectures—juxtaposing SolrCloud’s distributed capabilities with traditional standalone approaches. Readers gain an essential grasp of governance, upgrade strategies, and real-world use cases that highlight Solr’s ubiquity in modern data-driven organizations. Moving beyond the basics, Solr Essentials delves deeply into advanced architecture and operational best practices. Topics span sophisticated indexing and schema design strategies, distributed query execution, and extensibility via custom plugins. The book explores scalability and reliability engineering, covering high-availability clustering, sharding, caching, capacity planning, and failure recovery. Security and compliance are addressed comprehensively, detailing authentication, authorization, audit logging, and best practices for data protection in both on-premises and cloud-native deployments. The final chapters guide readers through seamless system integration, automation, and the operational lifecycle. Detailed patterns for integrating Solr with data pipelines, microservices, ETL systems, and third-party platforms empower readers to architect resilient search solutions across heterogeneous environments. Advanced topics include machine learning for search relevance, multilingual strategies, real-time indexing, observability, and futuristic self-tuning systems—culminating in insights on Solr's roadmap and emerging trends. Whether building greenfield solutions or refining enterprise-scale platforms, Solr Essentials equips professionals with the expertise to harness the full power of Solr.
Hadoop 2 Quick Start Guide
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Author : Douglas Eadline
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-10-28
Hadoop 2 Quick Start Guide written by Douglas Eadline 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 2015-10-28 with Computers categories.
Get Started Fast with Apache Hadoop® 2, YARN, and Today’s Hadoop Ecosystem With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models. Hadoop® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it. Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more. This guide is ideal if you want to learn about Hadoop 2 without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist. Coverage Includes Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters Exploring the Hadoop Distributed File System (HDFS) Understanding the essentials of MapReduce and YARN application programming Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase Observing application progress, controlling jobs, and managing workflows Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark
Apache Hive Cookbook
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Author : Hanish Bansal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-29
Apache Hive Cookbook written by Hanish Bansal 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 2016-04-29 with Computers categories.
Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book Grasp a complete reference of different Hive topics. Get to know the latest recipes in development in Hive including CRUD operations Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn Learn different features and offering on the latest Hive Understand the working and structure of the Hive internals Get an insight on the latest development in Hive framework Grasp the concepts of Hive Data Model Master the key concepts like Partition, Buckets and Statistics Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
Kinesis Stream Processing Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01
Kinesis Stream Processing Essentials written by Richard 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 2025-06-01 with Computers categories.
"Kinesis Stream Processing Essentials" "Kinesis Stream Processing Essentials" is a comprehensive guide for architects, engineers, and data professionals seeking to master real-time stream processing with Amazon Kinesis and its ecosystem. The book begins by grounding the reader in the fundamentals of streaming architectures and the evolution from batch to real-time systems, followed by an expansive exploration of Kinesis components—Streams, Firehose, Analytics, and Video Streams—and their practical roles within modern AWS-centric data platforms. Foundational topics include core concepts such as shards, records, partitioning, and access control, as well as in-depth technical comparisons with alternative streaming technologies like Apache Kafka and Google Pub/Sub. Delving into advanced engineering practices, the book meticulously covers scalable data ingestion, the design of robust producer architectures, and schema management with modern serialization formats. Readers are guided through the intricacies of real-time analytics using Kinesis Data Analytics, including stream enrichment, late-arriving data handling, and stateful computations, with actionable patterns for fault tolerance and high observability. Downstream consumption is addressed with practical patterns for scaling consumers, integrating with AWS Lambda and serverless frameworks, and efficiently delivering streaming data into data lakes, analytics tools, and other AWS services. Beyond core processing, "Kinesis Stream Processing Essentials" offers an authoritative exposition of mission-critical topics such as security, compliance, capacity planning, operations, and CI/CD integration for streaming pipelines. Chapters on privacy-preserving architectures, security automation, and regulatory compliance provide essential guidance for building secure, audit-ready solutions. The book concludes by mapping out cutting-edge trends: from machine learning on streaming data and data mesh architectures to multi-cloud patterns, cross-region replication, and the growing importance of AI-driven, autonomous streaming pipelines—serving as the definitive resource for developing resilient, future-proof Kinesis solutions.
Hadoop The Definitive Guide
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Author : Tom White
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-05-10
Hadoop The Definitive Guide written by Tom White 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 2012-05-10 with Computers categories.
Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems
Zookeeper Systems And Techniques
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-24
Zookeeper Systems And Techniques written by Richard 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 2025-05-24 with Computers categories.
"ZooKeeper Systems and Techniques" "ZooKeeper Systems and Techniques" is an authoritative and comprehensive exploration of Apache ZooKeeper—one of the foundational technologies underpinning modern distributed systems. Drawing from real-world architectures and operational best practices, this book delves deeply into the conceptual and technical underpinnings that make ZooKeeper indispensable for coordination, synchronization, and state management in cloud-era infrastructures. Readers are guided through the inner workings of the ZooKeeper data model, the intricacies of the Zab protocol, ensemble formation, and the careful tradeoffs between consistency, availability, and partition tolerance. With a focus on both theory and practice, the book covers a wide array of deployment architectures, operational patterns, and advanced use cases. It addresses the challenges of scaling ensembles across data centers, integrating with popular orchestration platforms such as Docker and Kubernetes, ensuring high availability and disaster recovery, and achieving robust security postures through authentication, access control, and comprehensive auditing. Advanced chapters meticulously dissect ZooKeeper’s internal mechanics—ranging from request pipelines and leader election to fault tolerance strategies—while also presenting deep dives into API usage, distributed locking, ephemeral nodes, and cutting-edge integration scenarios involving big data, microservices, and IoT. Designed for system architects, DevOps engineers, and distributed systems practitioners, "ZooKeeper Systems and Techniques" balances rigorous technical insight with actionable operational guidance. The book closes with forward-looking chapters that benchmark ZooKeeper against contemporary coordination systems, survey emerging patterns in distributed infrastructure, and outline the project’s future trajectory in areas such as edge computing, serverless, and managed clouds. Whether you are designing resilient platforms or need to master the nuances of production ZooKeeper clusters, this book stands as an indispensable resource for building and operating next-generation distributed systems.