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Learning Apache Cassandra


Learning Apache Cassandra
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Mastering Apache Cassandra Second Edition


Mastering Apache Cassandra Second Edition
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Author : Nishant Neeraj
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-03-26

Mastering Apache Cassandra Second Edition written by Nishant Neeraj 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 2015-03-26 with Computers categories.


The book is aimed at intermediate developers with an understanding of core database concepts who want to become a master at implementing Cassandra for their application.



Learning Apache Cassandra


Learning Apache Cassandra
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Author : Mat Brown
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-02-25

Learning Apache Cassandra written by Mat Brown 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 2015-02-25 with Computers categories.


If you're an application developer familiar with SQL databases such as MySQL or Postgres, and you want to explore distributed databases such as Cassandra, this is the perfect guide for you. Even if you've never worked with a distributed database before, Cassandra's intuitive programming interface coupled with the step-by-step examples in this book will have you building highly scalable persistence layers for your applications in no time.



Learning Apache Cassandra


Learning Apache Cassandra
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Author : Sandeep Yarabarla
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-04-25

Learning Apache Cassandra written by Sandeep Yarabarla 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 2017-04-25 with Computers categories.


Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book Is For If you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step-by- step approach to give you basic to intermediate knowledge of Apache Cassandra. Every concept is explained in depth, and is supplemented with practical examples when required.



Practical Cassandra


Practical Cassandra
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Author : Russell Bradberry
language : en
Publisher: Addison-Wesley
Release Date : 2013-12-17

Practical Cassandra written by Russell Bradberry and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-17 with Computers categories.


”Eric and Russell were early adopters of Cassandra at SimpleReach. In Practical Cassandra, you benefit from their experience in the trenches administering Cassandra, developing against it, and building one of the first CQL drivers. If you are deploying Cassandra soon, or you inherited a Cassandra cluster to tend, spend some time with the deployment, performance tuning, and maintenance chapters… If you are new to Cassandra, I highly recommend the chapters on data modeling and CQL.” –From the Foreword by Jonathon Ellis, Apache Cassandra Chair Build and Deploy Massively Scalable, Super-fast Data Management Applications with Apache Cassandra Practical Cassandra is the first hands-on developer’s guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance. Fully up to date, it reflects the latest versions of Cassandra–including Cassandra Query Language (CQL), which dramatically lowers the learning curve for Cassandra developers. Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data. Drawing on their exceptional expertise, Bradberry and Lubow share practical insights into issues ranging from querying to deployment, management, maintenance, monitoring, and troubleshooting. The authors cover key issues, from architecture to migration, and guide you through crucial decisions about configuration and data modeling. They provide tested sample code, detailed explanations of how Cassandra works ”under the covers,” and new case studies from three cutting-edge users: Ooyala, Hailo, and eBay. Coverage includes Understanding Cassandra’s approach, architecture, key concepts, and primary use cases– and why it’s so blazingly fast Getting Cassandra up and running on single nodes and large clusters Applying the new design patterns, philosophies, and features that make Cassandra such a powerful data store Leveraging CQL to simplify your transition from SQL-based RDBMSes Deploying and provisioning through the cloud or on bare-metal hardware Choosing the right configuration options for each type of workload Tweaking Cassandra to get maximum performance from your hardware, OS, and JVM Mastering Cassandra’s essential tools for maintenance and monitoring Efficiently solving the most common problems with Cassandra deployment, operation, and application development



Learning Apache Cassandra


Learning Apache Cassandra
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Author : Mat Brown
language : en
Publisher: Packt Publishing
Release Date : 2015-02-25

Learning Apache Cassandra written by Mat Brown and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-25 with Computers categories.




Apache Cassandra Developer Associate


Apache Cassandra Developer Associate
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Author : Cristian Scutaru
language : en
Publisher: Cristian Scutaru
Release Date :

Apache Cassandra Developer Associate written by Cristian Scutaru and has been published by Cristian Scutaru this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Who this book is for • People preparing for the Apache Cassandra Developer Associate exam. • Developers willing to acquire a certification in the most popular NoSQL wide-column store. • Those looking to pass with minimal risk the latest $145 DataStax certification exam. This book contains two original and high-quality practice tests with 60 questions each. They help you practice for DataStax Academy's proctored certification exam, to become a certified Apache Cassandra Developer Associate. • Each practice test has 60 questions that you can time for 90 minutes, for 70% passing score - just like the real exam. • Domains mapped to areas from the recommended courses: Architecture, Data Modeling, CQL. • All questions are original, with detailed explanations and references. • Questions closely emulate those from the actual exam, without duplicating them. • Same level of difficulty as the latest exam questions, changed in mid-2020. • Unlike the real exam, you'll know right away what questions you missed, and what the correct answers are. • Detailed explanations with external references for any possible choice, in all practice test questions. • Just like the actual exam, all questions are all single-select, with four possible choices to select from. • DataStax can provide vouchers to try and retry their exam for FREE, after watching some of their videos. • Otherwise, the list price has been cut down to $145 US. This is not an introduction to Apache Cassandra 3 or DataStax Enterprise 6, as you should already have some prior basic knowledge on the product. Follow the previous link and use also the DataStax Academy's recommended materials for this exam. The live interactive version of this e-book has been implemented on Udemy as a course, with the "Become a Certified Cassandra Developer: Practice Exams" title.



Mastering Apache Cassandra


Mastering Apache Cassandra
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26

Mastering Apache Cassandra 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.


Unleash the Power of Distributed Database for Scalable and High-Performance Applications Are you ready to explore the world of distributed databases and unlock the potential of Apache Cassandra? "Mastering Apache Cassandra" is your comprehensive guide to understanding and harnessing the capabilities of Cassandra for building scalable and high-performance applications. Whether you're a database administrator seeking to optimize performance or a developer aiming to create resilient data-driven solutions, this book equips you with the knowledge and tools to master the art of Cassandra database management. Key Features: 1. Deep Dive into Cassandra: Immerse yourself in the core principles of Apache Cassandra, understanding its architecture, data model, and distributed nature. Build a solid foundation that empowers you to manage data effectively in distributed environments. 2. Installation and Configuration: Master the art of installing and configuring Cassandra on various platforms. Learn about cluster setup, node communication, and replication strategies for fault tolerance. 3. Cassandra Query Language (CQL): Uncover the power of CQL for interacting with Cassandra databases. Explore data definition, manipulation, and querying using CQL's intuitive syntax. 4. Data Modeling: Delve into effective data modeling for Cassandra. Learn about tables, primary keys, composite keys, and denormalization strategies to optimize data retrieval and storage. 5. Distributed Data Management: Discover techniques for managing distributed data effectively. Explore concepts like consistency levels, replication factor, and data partitioning for maintaining data integrity. 6. Performance Tuning and Optimization: Explore strategies for optimizing Cassandra performance. Learn about compaction, read and write paths, caching, and tuning settings to achieve low-latency responses. 7. High Availability and Failover: Master the art of ensuring high availability in Cassandra clusters. Learn about replication strategies, data repair, and handling node failures to maintain continuous data access. 8. Security and Authentication: Explore security features and best practices in Cassandra. Learn how to implement authentication, authorization, and encryption to protect your data. 9. Batch Processing and Analytics: Uncover strategies for performing batch processing and analytics with Cassandra. Learn how to integrate with tools like Apache Spark and execute complex queries. 10. Real-World Applications: Gain insights into real-world use cases of Cassandra across industries. From e-commerce to finance, explore how organizations are leveraging Cassandra's capabilities for innovation. Who This Book Is For: "Mastering Apache Cassandra" is an indispensable resource for database administrators, developers, and IT professionals who want to excel in managing Cassandra databases. Whether you're new to Cassandra or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of distributed data management.



Database Internals


Database Internals
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Author : Alex Petrov
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-13

Database Internals written by Alex Petrov and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.


When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency



Mastering Spark With R


Mastering Spark With R
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Author : Javier Luraschi
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-10-07

Mastering Spark With R written by Javier Luraschi 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 2019-10-07 with Computers categories.


If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions



Learning Apache Cassandra


Learning Apache Cassandra
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Author : Ruth Stryker
language : en
Publisher:
Release Date : 2014

Learning Apache Cassandra written by Ruth Stryker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.


"In this Apache Cassandra training course, expert author Ruth Stryker teaches you the basics of working with Cassandra. This course is designed for the absolute beginner, meaning no experience with Cassandra is required. Experience with databases, SQL, and programming is recommended. You will start by learning how to install Cassandra, and then move onto understanding ways to communicate with Cassandra. From there, Ruth will teach you how to create a database, create a table, and insert and model data. This video tutorial will also cover creating an application, updating and deleting data, selecting hardware, and adding nodes to a cluster. You will also learn how to monitor a cluster, repair and remove nodes, and redefine a cluster. Once you have completed this video based training course, you will have a solid understanding of Cassandra, and be able to use Cassandra for your own development projects. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.