Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Pro Microsoft Hdinsight full books in PDF, epub, and Kindle. Read online Pro Microsoft Hdinsight ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Debarchan Sarkar
Publisher : Apress
ISBN 13 : 1430260556
Total Pages : 258 pages
Book Rating : 4.4/5 (32 download)
Download or read book Pro Microsoft HDInsight written by Debarchan Sarkar and published by Apress. This book was released on 2014-02-18 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The expert's voice in big data"--Cover.
Author : Debarchan Sarkar
Publisher : Apress
ISBN 13 : 1430260564
Total Pages : 258 pages
Book Rating : 4.4/5 (32 download)
Download or read book Pro Microsoft HDInsight written by Debarchan Sarkar and published by Apress. This book was released on 2014-03-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Michael Collier
Publisher : Microsoft Press
ISBN 13 : 0735697302
Total Pages : 400 pages
Book Rating : 4.7/5 (356 download)
Download or read book Microsoft Azure Essentials - Fundamentals of Azure written by Michael Collier and published by Microsoft Press. This book was released on 2015-01-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 9781509308057
Total Pages : 432 pages
Book Rating : 4.3/5 (8 download)
Download or read book Exam Ref 70-775 Perform Data Engineering on Microsoft Azure HDInsight written by Raju Shreewastava and published by Microsoft Press. This book was released on 2018-05-22 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
ISBN 13 : 9780735673809
Total Pages : 0 pages
Book Rating : 4.6/5 (738 download)
Download or read book Simplifying Big Data with Microsoft Hdinsight written by Avkash Chauhan and published by . This book was released on 2014-11-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 1484206657
Total Pages : 215 pages
Book Rating : 4.4/5 (842 download)
Download or read book Pro PowerShell for Microsoft Azure written by Sherif Talaat and published by Apress. This book was released on 2015-11-24 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 073569818X
Total Pages : 393 pages
Book Rating : 4.7/5 (356 download)
Download or read book Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and published by Microsoft Press. This book was released on 2015-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 9781515396611
Total Pages : 94 pages
Book Rating : 4.3/5 (966 download)
Download or read book Introducing Microsoft Azure Hdinsight written by Jessica L. Hartley and published by CreateSpace. This book was released on 2015-08-08 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Geoff Webber-Cross
Publisher : Packt Publishing Ltd
ISBN 13 : 1782173382
Total Pages : 620 pages
Book Rating : 4.7/5 (821 download)
Download or read book Learning Microsoft Azure written by Geoff Webber-Cross and published by Packt Publishing Ltd. This book was released on 2014-10-16 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a developer interested in building systems for Microsoft Azure, with an understanding of efficient cloud-based application development, then this is the book for you.
Author : Barry Briggs
Publisher : Microsoft Press
ISBN 13 : 1509301992
Total Pages : 228 pages
Book Rating : 4.5/5 (93 download)
Download or read book Enterprise Cloud Strategy written by Barry Briggs and published by Microsoft Press. This book was released on 2016-01-07 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage.
Author : Rajesh Nadipalli
Publisher : Packt Publishing Ltd
ISBN 13 : 1784396664
Total Pages : 179 pages
Book Rating : 4.7/5 (843 download)
Download or read book HDInsight Essentials - Second Edition written by Rajesh Nadipalli and published by Packt Publishing Ltd. This book was released on 2015-01-27 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to discover one of the latest tools designed to produce stunning Big Data insights, this book features everything you need to get to grips with your data. Whether you are a data architect, developer, or a business strategist, HDInsight adds value in everything from development, administration, and reporting.
Author : Valentine Fontama
Publisher : Apress
ISBN 13 : 148420445X
Total Pages : 178 pages
Book Rating : 4.4/5 (842 download)
Download or read book Predictive Analytics with Microsoft Azure Machine Learning written by Valentine Fontama and published by Apress. This book was released on 2014-11-25 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Reza Rad
Publisher : RADACAD Systems Limited
ISBN 13 :
Total Pages : 417 pages
Book Rating : 4./5 ( download)
Download or read book Mastering Power Query in Power BI and Excel written by Reza Rad and published by RADACAD Systems Limited. This book was released on 2021-08-27 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.
Author : Scott Guthrie
Publisher : Microsoft Press
ISBN 13 : 0735695695
Total Pages : 429 pages
Book Rating : 4.7/5 (356 download)
Download or read book Building Cloud Apps with Microsoft Azure written by Scott Guthrie and published by Microsoft Press. This book was released on 2014-07-18 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ebook walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. The content is based on a presentation developed by Scott Guthrie and delivered by him at the Norwegian Developers Conference (NDC) in June of 2013 (part 1, part 2), and at Microsoft Tech Ed Australia in September 2013 (part 1, part 2). Many others updated and augmented the content while transitioning it from video to written form. Who should read this book Developers who are curious about developing for the cloud, are considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and practices they need to know. The concepts are illustrated with concrete examples, and each chapter includes links to other resources that provide more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well. Developers who are already developing for the cloud may find ideas here that will help make them more successful. Each chapter in the series can be read independently, so you can pick and choose topics that you're interested in. Anyone who watched Scott Guthrie's "Building Real World Cloud Apps with Windows Azure" presentation and wants more details and updated information will find that here. Assumptions This ebook expects that you have experience developing web applications by using Visual Studio and ASP.NET. Familiarity with C# would be helpful in places.
Author : Thomas K Abraham
Publisher : Packt Publishing Ltd
ISBN 13 : 1789130271
Total Pages : 331 pages
Book Rating : 4.7/5 (891 download)
Download or read book Hands-On Machine Learning with Azure written by Thomas K Abraham and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligence Suite architectureExplore ML Server using SQL Server and HDInsight capabilitiesImplement various tools in Azure to build and deploy machine learning modelsBook Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models. What you will learnDiscover the benefits of leveraging the cloud for ML and AIUse Cognitive Services APIs to build intelligent botsBuild a model using canned algorithms from Microsoft and deploy it as a web serviceDeploy virtual machines in AI development scenariosApply R, Python, SQL Server, and Spark in AzureBuild and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlowImplement model retraining in IoT, Streaming, and Blockchain solutionsExplore best practices for integrating ML and AI functions with ADLA and logic appsWho this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You’ll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book
Author : Daniel A. Seara
Publisher : Microsoft Press
ISBN 13 : 0137252102
Total Pages : 623 pages
Book Rating : 4.1/5 (372 download)
Download or read book Exam Ref DP-900 Microsoft Azure Data Fundamentals written by Daniel A. Seara and published by Microsoft Press. This book was released on 2021-03-12 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for Microsoft Exam DP-900 Demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Focus on the expertise measured by these objectives: Describe core data concepts Describe how to work with relational data on Azure Describe how to work with non-relational data on Azure Describe an analytics workload on Azure This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and are beginning to work with data in the cloud About the Exam Exam DP-900 focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads. See full details at: www.microsoft.com/learn
Author : Ross Mistry
Publisher : Microsoft Press
ISBN 13 : 0133966178
Total Pages : 240 pages
Book Rating : 4.1/5 (339 download)
Download or read book Introducing Microsoft SQL Server 2014 written by Ross Mistry and published by Microsoft Press. This book was released on 2014-04-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOTE: This title is also available as a free eBook on the Microsoft Download Center. It is offered for sale in print format as a convenience. Get a head start evaluating SQL Server 2014 - guided by two experts who have worked with the technology from the earliest beta. Based on Community Technology Preview 2 (CTP2) software, this guide introduces new features and capabilities, with practical insights on how SQL Server 2014 can meet the needs of your business. Get the early, high-level overview you need to begin preparing your deployment now. Coverage includes: SQL Server 2014 Editions and engine enhancements Mission-critical performance enhancements Hybrid cloud enhancements Self-service Business Intelligence enhancements in Microsoft Excel Enterprise information management enhancements Big Data solutions
