Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model

Build agile and responsive Business Intelligence solutions Analyze tabular data using the BI Semantic Model (BISM) in Microsoft SQL Server 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. Led by three BI experts, you’ll learn how to build, deploy, and query a BISM tabular model with step-by-step guides, examples, and best practices. This hands-on book shows you how the tabular model’s in-memory database enables you to perform rapid analytics—whether you’re a professional BI developer new to Analysis Services or familiar with its multidimensional model.
Nhà máy: Apress.com
SKU: isbn: 9780735670112
Nhà cung cấp: IBT Content
$37.99
$27.99

Discover how to:

  • Determine when a tabular or multidimensional model is right for your project
  • Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2010
  • Integrate data from multiple sources into a single, coherent view of company information
  • Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries
  • Choose a data modeling technique that meets your organization’s performance and usability requirements
  • Optimize your data model for better performance with xVelocity storage engine
  • Manage complex data relationships, such as multicolumn, banding, and many-to-many
  • Implement security by establishing administrative and data user roles
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Oracle Databases on VMwareBest Practices Guide 2010 - ESXi4

This Oracle Databases on VMware Best Practices Guideprovides best practice guidelines for deploying Oracle databaseson VMware vSphere. The recommendations in this guide are not specific to any particular set of hardware,or size and scope of any particular Oracle databaseimplementation. The examples and considerations provide guidance, butdo not represent strict design requirements.The successful deployment of Oracle on VMware vSphere™ 4is not significantly different from deploying Oracle on physical servers. DBAs can fully leverage their current skill set while also delivering the benefits associated with virtualization.
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Big Data Analytics with Spark

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics.
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Beginning Microsoft Power BI: A Practical Guide to Self-Service Data Analytics

Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.
$37.99 $19.24