Microsoft Big Data Solutions
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Microsoft Big Data Solutions
Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.
Applied Microsoft Business Intelligence
Leverage the power of SQL and Office to build a complete enterprise BI solution The business intelligence world is changing. Hardware is getting more powerful, platforms are getting more capable, and decision timeframes are getting shorter. Microsoft's SQL Server and Office products provide powerful core BI technologies that allow decision makers who rely on Office for basic analytics to tap into a sophisticated BI toolset for both analysis and reporting. Applied Microsoft Business Intelligence reveals the best practices for building complete BI solutions using SQL Server, Reporting, and Analysis Services along with Excel and SharePoint for a more robust business intelligence framework. This book shows you how to use the Microsoft business intelligence building blocks to construct synergetic and complete solutions to suit any organization. Organized chronologically by implementation order, it guides you through the data layer, data transformation and quality, the semantic layer, and the presentation layer, and ties it all together with comprehensive case studies. Focusing on best practices rather than specific tools keeps your skills relevant beyond the 2014 SQL release. Comprehensive explanations including architecture, strengths and weaknesses, and practical applications bring you fully up to speed quickly. Applied Microsoft Business Intelligence shows you how to: Design an effective BI architecture that best fits your organization Develop flexible, scalable, tabular and multi-dimensional models Create interactive visualizations with Power View Explore geographic and temporal data with Power Map Implement self-service delivery and an efficient deployment strategy Manage, maintain, and scale the BI environment
Data Lake Analytics on Microsoft Azure
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will This book includes comprehensive coverage of how: To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure. What Will You Learn You will understand the: Concepts of data lake analytics, the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics solutions Phases—such as Data Ingestion, Store, Prep and Train, and Model and Serve—of data analytics solutions and technology choices available on Azure under each phase In-depth coverage of real-time and batch mode data analytics solutions architecture Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight Who This Book Is For Data platform professionals, database architects, engineers, and solution architects