cassandra the definitive guide distributed data at web scale

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Cassandra The Definitive Guide

Author : Jeff Carpenter
ISBN : 9781491933619
Genre : Computers
File Size : 43. 72 MB
Format : PDF, ePub
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Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene

Cassandra The Definitive Guide

Author : Eben Hewitt
ISBN : 9781449396640
Genre : Computers
File Size : 38. 67 MB
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What could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment. Author Eben Hewitt demonstrates the advantages of Cassandra's nonrelational design, and pays special attention to data modeling. If you're a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra's speed and flexibility. Understand the tenets of Cassandra's column-oriented structure Learn how to write, update, and read Cassandra data Discover how to add or remove nodes from the cluster as your application requires Examine a working application that translates from a relational model to Cassandra's data model Use examples for writing clients in Java, Python, and C# Use the JMX interface to monitor a cluster's usage, memory patterns, and more Tune memory settings, data storage, and caching for better performance

Advanced Intelligent Systems For Sustainable Development Ai2sd 2018

Author : Mostafa Ezziyyani
ISBN : 9783030119287
Genre :
File Size : 57. 45 MB
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Big Data In Complex Systems

Author : Aboul Ella Hassanien
ISBN : 9783319110561
Genre : Computers
File Size : 44. 50 MB
Format : PDF
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This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.

A Guide To The Project Management Body Of Knowledge Pmbok Guide Fifth Ed Arabic

Author : Project Management Institute
ISBN : 1628250003
Genre : Business & Economics
File Size : 32. 72 MB
Format : PDF
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A Guide to the Project Management Body of Knowledge (PMBOK Guide) Fifth Edition reflects the collaboration and knowledge of working project managers and provides the fundamentals of project management as they apply to a wide range of projects. This internationally recognized standard gives project managers the essential tools to practice project management and deliver organizational results. A 10th Knowledge Area has been added; Project Stakeholder Management expands upon the importance of appropriately engaging project stakeholders in key decisions and activities. Project data information and information flow have been redefined to bring greater consistency and be more aligned with the Data, Information, Knowledge and Wisdom (DIKW) model used in the field of Knowledge Management. Four new planning processes have been added: Plan Scope Management, Plan Schedule Management, Plan Cost Management and Plan Stakeholder Management: These were created to reinforce the concept that eac

Apache Spark 2 For Beginners

Author : Rajanarayanan Thottuvaikkatumana
ISBN : 9781785886690
Genre : Computers
File Size : 71. 93 MB
Format : PDF
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Develop large-scale distributed data processing applications using Spark 2 in Scala and Python About This Book This book offers an easy introduction to the Spark framework published on the latest version of Apache Spark 2 Perform efficient data processing, machine learning and graph processing using various Spark components A practical guide aimed at beginners to get them up and running with Spark Who This Book Is For If you are an application developer, data scientist, or big data solutions architect who is interested in combining the data processing power of Spark from R, and consolidating data processing, stream processing, machine learning, and graph processing into one unified and highly interoperable framework with a uniform API using Scala or Python, this book is for you. What You Will Learn Get to know the fundamentals of Spark 2 and the Spark programming model using Scala and Python Know how to use Spark SQL and DataFrames using Scala and Python Get an introduction to Spark programming using R Perform Spark data processing, charting, and plotting using Python Get acquainted with Spark stream processing using Scala and Python Be introduced to machine learning using Spark MLlib Get started with graph processing using the Spark GraphX Bring together all that you've learned and develop a complete Spark application In Detail Spark is one of the most widely-used large-scale data processing engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup. Then the Spark programming model is introduced through real-world examples followed by Spark SQL programming with DataFrames. An introduction to SparkR is covered next. Later, we cover the charting and plotting features of Python in conjunction with Spark data processing. After that, we take a look at Spark's stream processing, machine learning, and graph processing libraries. The last chapter combines all the skills you learned from the preceding chapters to develop a real-world Spark application. By the end of this book, you will have all the knowledge you need to develop efficient large-scale applications using Apache Spark. Style and approach Learn about Spark's infrastructure with this practical tutorial. With the help of real-world use cases on the main features of Spark we offer an easy introduction to the framework.

Mastering Mesos

Author : Dipa Dubhashi
ISBN : 178588624X
Genre : Computers
File Size : 20. 44 MB
Format : PDF, ePub
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The ultimate guide to managing, building, and deploying large scale clusters with Apache MesosAbout This Book*Master the architecture of Mesos and intelligently distribute your task across clusters of machines*Explore a wide range of tools and platforms that Mesos works with*This real-world comprehensive and robust tutorial will help you become an expertWho This Book Is ForThe book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its toolsWhat You Will Learn*Understand the Mesos architecture*Manually spin up a Mesos cluster on a distributed infrastructure*Deploy a multi-node Mesos cluster using your favorite DevOps*See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment*Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In DetailApache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks.This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos.We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds.We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools.This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka.

Government Reports Announcements Index

Author :
ISBN : STANFORD:36105013139931
Genre : Science
File Size : 31. 74 MB
Format : PDF, Mobi
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Energy Research Abstracts

Author :
ISBN : PSU:000022458575
Genre : Power resources
File Size : 49. 59 MB
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Wall Street Technology

Author :
ISBN : UOM:39015058332415
Genre : Investments
File Size : 26. 96 MB
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