Beginning Apache Cassandra Development

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Beginning Apache Cassandra Development

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Author : Vivek Mishra
language : en
Publisher: Apress
Release Date : 2014-12-12

Beginning Apache Cassandra Development written by Vivek Mishra and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-12 with Computers categories.

Beginning Apache Cassandra Development introduces you to one of the most robust and best-performing NoSQL database platforms on the planet. Apache Cassandra is a document database following the JSON document model. It is specifically designed to manage large amounts of data across many commodity servers without there being any single point of failure. This design approach makes Apache Cassandra a robust and easy-to-implement platform when high availability is needed. Apache Cassandra can be used by developers in Java, PHP, Python, and JavaScript—the primary and most commonly used languages. In Beginning Apache Cassandra Development, author and Cassandra expert Vivek Mishra takes you through using Apache Cassandra from each of these primary languages. Mishra also covers the Cassandra Query Language (CQL), the Apache Cassandra analog to SQL. You'll learn to develop applications sourcing data from Cassandra, query that data, and deliver it at speed to your application's users. Cassandra is one of the leading NoSQL databases, meaning you get unparalleled throughput and performance without the sort of processing overhead that comes with traditional proprietary databases. Beginning Apache Cassandra Development will therefore help you create applications that generate search results quickly, stand up to high levels of demand, scale as your user base grows, ensure operational simplicity, and—not least—provide delightful user experiences.

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

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.

Beginning Apache Cassandra Development

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Author : Eva R. Burke
language : en
Publisher: CreateSpace
Release Date : 2015-08-12

Beginning Apache Cassandra Development written by Eva R. Burke and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-12 with categories.

Thought-provoking and accessible in approach, this updated and expanded second edition of the Beginning Apache Cassandra Development provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press

Mastering Apache Cassandra 3 X

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Author : Aaron Ploetz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31

Mastering Apache Cassandra 3 X written by Aaron Ploetz 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 2018-10-31 with Computers categories.

Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key FeaturesWrite programs more efficiently using Cassandra's features with the help of examplesConfigure Cassandra and fine-tune its parameters depending on your needsIntegrate Cassandra database with Apache Spark and build strong data analytics pipelineBook Description With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application. What you will learnWrite programs more efficiently using Cassandra's features more efficientlyExploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)Use CQL3 in your application in order to simplify working with CassandraConfigure Cassandra and fine-tune its parameters depending on your needsSet up a cluster and learn how to scale itMonitor a Cassandra cluster in different waysUse Apache Spark and other big data processing toolsWho this book is for Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.

Expert Apache Cassandra Administration

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Author : Sam R. Alapati
language : en
Publisher: Apress
Release Date : 2017-12-09

Expert Apache Cassandra Administration written by Sam R. Alapati and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-09 with Computers categories.

Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on to the creation of a single instance, and then a cluster of Cassandra databases. Cassandra is increasingly a key player in many big data environments, and this book shows you how to use Cassandra with Apache Spark, a popular big data processing framework. Also covered are day-to-day topics of importance such as the backup and recovery of Cassandra databases, using the right compression and compaction strategies, and loading and unloading data. Expert Apache Cassandra Administration provides numerous step-by-step examples starting with the basics of a Cassandra database, and going all the way through backup and recovery, performance optimization, and monitoring and securing the data. The book serves as an authoritative and comprehensive guide to the building and management of simpleto complex Cassandra databases. The book: Takes you through building a Cassandra database from installation of the software and creation of a single database, through to complex clusters and data centers Provides numerous examples of actual commands in a real-life Cassandra environment that show how to confidently configure, manage, troubleshoot, and tune Cassandra databases Shows how to use the Cassandra configuration properties to build a highly stable, available, and secure Cassandra database that always operates at peak efficiency What You'll Learn Install the Cassandra software and create your first database Understand the Cassandra data model, and the internal architecture of a Cassandra database Create your own Cassandra cluster, step-by-step Run a Cassandra cluster on Docker Work with Apache Spark by connecting to a Cassandra database Deploy Cassandra clusters in your data center, or on Amazon EC2 instances Back up and restore mission-critical Cassandra databases Monitor, troubleshoot, and tune production Cassandra databases, and cut your spending on resources such as memory, servers, and storage Who This Book Is For Database administrators, developers, and architects who are looking for an authoritative and comprehensive single volume for all their Cassandra administration needs. Also for administrators who are tasked with setting up and maintaining highly reliable and high-performing Cassandra databases. An excellent choice for big data administrators, database administrators, architects, and developers who use Cassandra as their key data store, to support high volume online transactions, or as a decentralized, elastic data store.

Beginning Apache Spark Using Azure Databricks

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Author : Robert Ilijason
language : en
Publisher: Apress
Release Date : 2020-06-11

Beginning Apache Spark Using Azure Databricks written by Robert Ilijason and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Computers categories.

Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything aboutconfiguring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned. What You Will Learn Discover the value of big data analytics that leverage the power of the cloud Get started with Databricks using SQL and Python in either Microsoft Azure or AWS Understand the underlying technology, and how the cloud and Apache Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or free Who This Book Is For Data engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation.

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

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.

Recent Developments In Machine Learning And Data Analytics

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Author : Jugal Kalita
language : en
Publisher: Springer
Release Date : 2018-09-11

Recent Developments In Machine Learning And Data Analytics written by Jugal Kalita and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-11 with Computers categories.

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.