Introducing Windows Azure Hdinsight

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Introducing Windows Azure Hdinsight

Author : Avkash Chauhan
Publisher : Pearson Education
ISBN 13 : 0735685517
Total Pages : 130 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Introducing Windows Azure Hdinsight by : Avkash Chauhan

Download or read book Introducing Windows Azure Hdinsight written by Avkash Chauhan and published by Pearson Education. This book was released on 2014-06-21 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft Azure HDInsight is Microsoft's 100 percent compliant distribution of Apache Hadoop on Microsoft Azure. This means that standard Hadoop concepts and technologies apply, so learning the Hadoop stack helps you learn the HDInsight service. At the time of this writing, HDInsight (version 3.0) uses Hadoop version 2.2 and Hortonworks Data Platform 2.0. In Introducing Microsoft Azure HDInsight, we cover what big data really means, how you can use it to your advantage in your company or organization, and one of the services you can use to do that quickly-specifically, Microsoft's HDInsight service. We start with an overview of big data and Hadoop, but we don't emphasize only concepts in this book-we want you to jump in and get your hands dirty working with HDInsight in a practical way. To help you learn and even implement HDInsight right away, we focus on a specific use case that applies to almost any organization and demonstrate a process that you can follow along with. We also help you learn more. In the last chapter, we look ahead at the future of HDInsight and give you recommendations for self-learning so that you can dive deeper into important concepts and round out your education on working with big data.

Introducing Windows Azure for IT Professionals

Author : Mitch Tulloch
Publisher : Microsoft Press
ISBN 13 : 0735682895
Total Pages : 203 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Introducing Windows Azure for IT Professionals by : Mitch Tulloch

Download or read book Introducing Windows Azure for IT Professionals written by Mitch Tulloch and published by Microsoft Press. This book was released on 2013-11-15 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: We’re thrilled to share another free ebook with you: Introducing Microsoft Azure HDInsight, by Avkash Chauhan, Valentine Fontama, Michele Hart, Wee Hyong Tok, and Buck Woody. Here are the download links: Download the PDF (6.37 MB; 130 pages) from http://aka.ms/IntroHDInsight/PDF Download the EPUB (8.46 MB) from http://aka.ms/IntroHDInsight/EPUB Download the MOBI (12.8 MB) from http://aka.ms/IntroHDInsight/MOBI Download the code samples (6.83 KB) from http://aka.ms/IntroHDInsight/CompContent Get a head start evaluating Windows Azure - with technical insights from a Microsoft MVP Mitch Tulloch. This guide introduces the latest features and capabilities, with scenario-based advice on how the platform can meet the needs of your business. Get the high-level overview you need to begin preparing your deployment now. Topics include: Understanding Windows Azure Windows Azure Compute Services Windows Azure Network Services Windows Azure Data Services Windows Azure App Services Getting Started with Windows Azure

Pro Microsoft HDInsight

Author : Debarchan Sarkar
Publisher : Apress
ISBN 13 : 1430260564
Total Pages : 258 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Pro Microsoft HDInsight by : Debarchan Sarkar

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

Introducing Microsoft SQL Server 2014

Author : Ross Mistry
Publisher : Microsoft Press
ISBN 13 : 0133966178
Total Pages : 240 pages
Book Rating : 4.1/5 (339 download)

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Book Synopsis Introducing Microsoft SQL Server 2014 by : Ross Mistry

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

Microsoft Azure Essentials - Fundamentals of Azure

Author : Michael Collier
Publisher : Microsoft Press
ISBN 13 : 0735697302
Total Pages : 400 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Microsoft Azure Essentials - Fundamentals of Azure by : Michael Collier

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.

Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Author : Valentine Fontama
Publisher : Apress
ISBN 13 : 1484212002
Total Pages : 303 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition by : Valentine Fontama

Download or read book Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition written by Valentine Fontama and published by Apress. This book was released on 2015-08-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft. What’s New in the Second Edition? Five new chapters have been added with practical detailed coverage of: Python Integration – a new feature announced February 2015 Data preparation and feature selection Data visualization with Power BI Recommendation engines Selling your models on Azure Marketplace

Microsoft Azure Data Solutions - An Introduction

Author : Daniel A. Seara
Publisher : Microsoft Press
ISBN 13 : 0137252528
Total Pages : 634 pages
Book Rating : 4.1/5 (372 download)

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Book Synopsis Microsoft Azure Data Solutions - An Introduction by : Daniel A. Seara

Download or read book Microsoft Azure Data Solutions - An Introduction written by Daniel A. Seara and published by Microsoft Press. This book was released on 2021-07-14 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover and apply the Azure platform's most powerful data solutions Cloud technologies are advancing at an accelerating pace, supplanting traditional relational and data warehouse storage solutions with novel, high-value alternatives. Now, three pioneering Azure Data consultants offer an expert introduction to the relational, non-relational, and data warehouse solutions offered by the Azure platform. Drawing on their extensive experience helping organizations get more value from the Microsoft Data Platform, the authors guide you through decision-making, implementation, operations, security, and more. Throughout, step-by-step tutorials and hands-on exercises prepare you to succeed, even if you have no cloud data experience. Three leading experts in Microsoft Azure Data Solutions show how to: Master essential concepts of data storage and processing in cloud environments Handle the changing responsibilities of data engineers moving to the cloud Get started with Azure data storage accounts and other data facilities Walk through implementing relational and non-relational data stores in Azure Secure data using the least-permissions principle, Azure Active Directory, role-based access control, and other methods Develop efficient Azure batch processing and streaming solutions Monitor Azure SQL databases, blob storage, data lakes, Azure Synapse Analytics, and Cosmos DB Optimize Azure data solutions by solving problems with storage, management, and service interactions About This Book For data engineers, systems engineers, IT managers, developers, database administrators, cloud architects, and other IT professionals Requires little or no knowledge about Azure tools and services for data analysis

Predictive Analytics with Microsoft Azure Machine Learning

Author : Valentine Fontama
Publisher : Apress
ISBN 13 : 148420445X
Total Pages : 178 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Predictive Analytics with Microsoft Azure Machine Learning by : Valentine Fontama

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.

Practical Recommender Systems

Author : Kim Falk
Publisher : Simon and Schuster
ISBN 13 : 1638353980
Total Pages : 743 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Practical Recommender Systems by : Kim Falk

Download or read book Practical Recommender Systems written by Kim Falk and published by Simon and Schuster. This book was released on 2019-01-18 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Online recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions. Recommender systems are practically a necessity for keeping your site content current, useful, and interesting to your visitors. About the Book Practical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you'll see how to collect user data and produce personalized recommendations. You'll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book covers scaling problems and other issues you'll encounter as your site grows. What's inside How to collect and understand user behavior Collaborative and content-based filtering Machine learning algorithms Real-world examples in Python About the Reader Readers need intermediate programming and database skills. About the Author Kim Falk is an experienced data scientist who works daily with machine learning and recommender systems. Table of Contents PART 1 - GETTING READY FOR RECOMMENDER SYSTEMS What is a recommender? User behavior and how to collect it Monitoring the system Ratings and how to calculate them Non-personalized recommendations The user (and content) who came in from the cold PART 2 - RECOMMENDER ALGORITHMS Finding similarities among users and among content Collaborative filtering in the neighborhood Evaluating and testing your recommender Content-based filtering Finding hidden genres with matrix factorization Taking the best of all algorithms: implementing hybrid recommenders Ranking and learning to rank Future of recommender systems

Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

Author : Manpreet Singh
Publisher : Sams Publishing
ISBN 13 : 013403533X
Total Pages : 1044 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself by : Manpreet Singh

Download or read book Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself written by Manpreet Singh and published by Sams Publishing. This book was released on 2015-11-12 with total page 1044 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours In just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop’s power on a flexible, scalable cloud platform using Microsoft’s newest business intelligence, visualization, and productivity tools. This book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions Learn how to... · Master core Big Data and NoSQL concepts, value propositions, and use cases · Work with key Hadoop features, such as HDFS2 and YARN · Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud · Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters · Integrate, analyze, and report with Microsoft BI and Power BI · Automate workflows for data transformation, integration, and other tasks · Use Apache HBase on HDInsight · Use Sqoop or SSIS to move data to or from HDInsight · Perform R-based statistical computing on HDInsight datasets · Accelerate analytics with Apache Spark · Run real-time analytics on high-velocity data streams · Write MapReduce, Hive, and Pig programs Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Enterprise Mobility with App Management, Office 365, and Threat Mitigation

Author : Yuri Diogenes
Publisher : Microsoft Press
ISBN 13 : 1509301356
Total Pages : 336 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Enterprise Mobility with App Management, Office 365, and Threat Mitigation by : Yuri Diogenes

Download or read book Enterprise Mobility with App Management, Office 365, and Threat Mitigation written by Yuri Diogenes and published by Microsoft Press. This book was released on 2016-01-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enable employees to be productive and access data from any location or device Protect both corporate assets and employee privacy, so your people can be fully productive from any device, anywhere. Learn how to use Microsoft Intune to manage applications to satisfy your unique requirements, make the most of Mobile Device Management (MDM) for Office 365, and defend on-premises resources with Microsoft Advanced Threat Analytics (ATA). Plan, deploy, and deliver complete enterprise mobility while improving security Choose the right Microsoft enterprise mobility solution for your organization Protect apps and data with Microsoft Intune Mobile Application Management (MAM) Identify suspicious user or device activity in hybrid cloud/on-premises environments Prepare for and successfully implement Microsoft ATA Flexibly manage diverse mobile devices with MDM for Office 365 Configure access, define policies, enroll mobile devices, and manage compliance

Encyclopedia of Cloud Computing

Author : San Murugesan
Publisher : John Wiley & Sons
ISBN 13 : 1118821971
Total Pages : 744 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Encyclopedia of Cloud Computing by : San Murugesan

Download or read book Encyclopedia of Cloud Computing written by San Murugesan and published by John Wiley & Sons. This book was released on 2016-08-01 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further information.

A Hands-On Introduction to Machine Learning

Author : Chirag Shah
Publisher : Cambridge University Press
ISBN 13 : 1009325175
Total Pages : 436 pages
Book Rating : 4.0/5 (93 download)

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Book Synopsis A Hands-On Introduction to Machine Learning by : Chirag Shah

Download or read book A Hands-On Introduction to Machine Learning written by Chirag Shah and published by Cambridge University Press. This book was released on 2022-12-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.

Microsoft Azure Essentials Azure Machine Learning

Author : Jeff Barnes
Publisher : Microsoft Press
ISBN 13 : 073569818X
Total Pages : 393 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Microsoft Azure Essentials Azure Machine Learning by : Jeff Barnes

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.

Data Intensive Industrial Asset Management

Author : Farhad Balali
Publisher : Springer Nature
ISBN 13 : 3030359301
Total Pages : 247 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Intensive Industrial Asset Management by : Farhad Balali

Download or read book Data Intensive Industrial Asset Management written by Farhad Balali and published by Springer Nature. This book was released on 2020-01-22 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

Mastering Azure Analytics

Author : Zoiner Tejada
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491956623
Total Pages : 411 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Mastering Azure Analytics by : Zoiner Tejada

Download or read book Mastering Azure Analytics written by Zoiner Tejada and published by "O'Reilly Media, Inc.". This book was released on 2017-04-06 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.

Exam Ref DP-900 Microsoft Azure Data Fundamentals

Author : Daniel A. Seara
Publisher : Microsoft Press
ISBN 13 : 0137252102
Total Pages : 623 pages
Book Rating : 4.1/5 (372 download)

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Book Synopsis Exam Ref DP-900 Microsoft Azure Data Fundamentals by : Daniel A. Seara

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