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Author : Debarchan Sarkar
Publisher : Apress
Page : 258 pages
File Size : 15,77 MB
Release : 2014-02-18
Category : Computers
ISBN : 1430260556
"The expert's voice in big data"--Cover.
Author : Debarchan Sarkar
Publisher : Apress
Page : 258 pages
File Size : 41,75 MB
Release : 2014-03-05
Category : Computers
ISBN : 1430260564
Pro Microsoft HDInsight is a complete guide to deploying and using Apache Hadoop on the Microsoft Windows Azure Platforms. The information in this book enables you to process enormous volumes of structured as well as non-structured data easily using HDInsight, which is Microsoft’s own distribution of Apache Hadoop. Furthermore, the blend of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings available through Windows Azure lets you take advantage of Hadoop’s processing power without the worry of creating, configuring, maintaining, or managing your own cluster. With the data explosion that is soon to happen, the open source Apache Hadoop Framework is gaining traction, and it benefits from a huge ecosystem that has risen around the core functionalities of the Hadoop distributed file system (HDFS™) and Hadoop Map Reduce. Pro Microsoft HDInsight equips you with the knowledge, confidence, and technique to configure and manage this ecosystem on Windows Azure. The book is an excellent choice for anyone aspiring to be a data scientist or data engineer, putting you a step ahead in the data mining field. Guides you through installation and configuration of an HDInsight cluster on Windows Azure Provides clear examples of configuring and executing Map Reduce jobs Helps you consume data and diagnose errors from the Windows Azure HDInsight Service
Author : Brendan Burns
Publisher : "O'Reilly Media, Inc."
Page : 164 pages
File Size : 19,11 MB
Release : 2018-02-20
Category : Computers
ISBN : 1491983612
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
Author : Michael Collier
Publisher : Microsoft Press
Page : 400 pages
File Size : 25,7 MB
Release : 2015-01-29
Category : Computers
ISBN : 0735697302
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.
Author : Raju Shreewastava
Publisher : Microsoft Press
Page : 432 pages
File Size : 31,94 MB
Release : 2018-05-22
Category :
ISBN : 9781509308057
Direct from Microsoft, this Exam Ref is the official study guide for the Microsoft 70-775 Perform Data Engineering on Microsoft Azure HDInsight certification exam. Exam Ref 70-775 Perform Data Engineering on Microsoft Azure HDInsight offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to successfully administer and provision HDInsight clusters, and implement effective Big Data processing solutions with HDInsight. Coverage includes: Deploy and configure HDInsight clusters, deploy and secure multi-user HDInsight clusters, ingest data for processing, and manage and debug HDInsight jobs Implement Big Data batch solutions with Hive and Apache Pig, design batch ETL solutions with Spark, and operationalize Hadoop and Spark Create and implement interactive queries with Spark SQL and Interactive Hive; perform exploratory analyses with Spark SQL and Hive, Jupyter, and Apache Zeppelin; perform interactive processing with Apache Phoenix on HBase Implement real-time processing: create Spark streaming applications (including structured streaming); leverage Apache Storm, Kafka, and HBase Microsoft Exam Ref publications stand apart from third-party study guides because they: Provide guidance from Microsoft, the creator of Microsoft certification exams Target IT professional-level exam candidates with content focused on their needs, not "one-size-fits-all" content Streamline study by organizing material according to the exam's objective domain (OD), covering one functional group and its objectives in each chapter Feature Thought Experiments to guide candidates through a set of "what if?" scenarios, and prepare them more effectively for Pro-level style exam questions Explore big picture thinking around the planning and design aspects of the IT pro's job role This is one of two exams required to earn the MCSA Data Engineering with Azure certification. (The second is Exam 70-776 Perform Big Data Engineering on Microsoft Cloud Services.)
Author : Avkash Chauhan
Publisher :
Page : 0 pages
File Size : 30,2 MB
Release : 2014-11-18
Category :
ISBN : 9780735673809
Unlock new insights from enterprise data with this solution builder’s guide to HDInsight. Whether you’re a developer or data analyst, BI professional or IT professional, you’ll learn how to build Hadoop-compatible Big Data applications for the cloud or on premises. Written by key members of the Microsoft teams focused on Big Data Gets you up and running quickly with HDInsight, which provides 100% Apache Hadoop compatibility Shares developer insights on using HDInsight and other Microsoft tools to process and analyze large datasets, including structured and unstructured data Explains how to build, deploy, and manage Hadoop clusters through Windows Server and Windows Azure Topics includes: Working with the console, streaming data, predictive analytics, Pig, Hive, Sqoop, HDFS, Hbase, management, and troubleshooting, plus real-world examples
Author : Sherif Talaat
Publisher : Apress
Page : 215 pages
File Size : 11,87 MB
Release : 2015-11-24
Category : Computers
ISBN : 1484206657
This book is written for Windows professionals who are familiar with PowerShell and want to learn to build, operate, and administer their Windows workloads in the Microsoft cloud. Pro PowerShell for Microsoft Azure is packed with practical examples and scripts, with easy-to-follow explanations for a wide range of day-to-day needs and essential administration tasks. Author Sherif Talaat begins by explaining the fundamental concepts behind the Microsoft Azure platform and how to get started configuring it through PowerShell. Readers will find out how to deploy, configure and manage the various components of the Azure platform, from storage and virtual networks to Azure Web Sites, HDInsight clusters and the Azure SQL Database. Workload automation, scheduling and resource management are covered in depth to help build efficiency in everyday tasks, and administrators will gain full control over Azure identity and access rights using Azure Active Directory and Rights Management Services. Put your PowerShell skills to good use and ensure that your applications and data are available anywhere at any time, with Pro PowerShell for Microsoft Azure. What You'll Learn Create and manage virtual networks and VPNs using PowerShell. Configure and maintain Azure Storage accounts, blobs, and containers. Provision and manage a redundant Windows or Linux server. Deploy and configure your sites in the cloud using Microsoft Azure Web Sites. Provision Apache Hadoop clusters in the cloud using Azure HDInsight. Deploy, configure and manage a Microsoft Azure SQL Database. Protect and secure identities and resources with Azure Active Directory and Azure Rights Management Services. Who This Book Is For This is book is for the intermediate to advanced Windows professional who is ready to make the leap to the cloud.
Author : Jeff Barnes
Publisher : Microsoft Press
Page : 393 pages
File Size : 23,53 MB
Release : 2015-04-25
Category : Computers
ISBN : 073569818X
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.
Author : Jessica L. Hartley
Publisher : CreateSpace
Page : 94 pages
File Size : 26,89 MB
Release : 2015-08-08
Category :
ISBN : 9781515396611
Thought-provoking and accessible in approach, this updated and expanded second edition of the Introducing Microsoft Azure HDInsight 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
Author : Valentine Fontama
Publisher : Apress
Page : 178 pages
File Size : 19,52 MB
Release : 2014-11-25
Category : Computers
ISBN : 148420445X
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis. The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter. The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.