Book Image

SQL Server 2016 Reporting Services Cookbook

By : Dinesh Priyankara, Robert Cain
Book Image

SQL Server 2016 Reporting Services Cookbook

By: Dinesh Priyankara, Robert Cain

Overview of this book

Microsoft SQL Server 2016 Reporting Services comes with many new features. It offers different types of reporting such as Production, Ad-hoc, Dashboard, Mash-up, and Analytical. SQL Server 2016 also has a surfeit of new features including Mobile Reporting, and Power BI integration. This book contains recipes that explore the new and advanced features added to SQL Server 2016. The first few chapters cover recipes on configuring components and how to explore these new features. You’ll learn to build your own reporting solution with data tools and report builder, along with learning techniques to create visually appealing reports. This book also has recipes for enhanced mobile reporting solutions, accessing these solutions effectively, and delivering interactive business intelligence solutions. Towards the end of the book, you’ll get to grips with running reporting services in SharePoint integrated mode and be able to administer, monitor, and secure your reporting solution. This book covers about the new offerings of Microsoft SQL Server 2016 Reporting Services in comprehensive detail and uses examples of real-world problem-solving business scenarios.
Table of Contents (18 chapters)
SQL Server 2016 Reporting Services Cookbook
Credits
About the Authors
About the Reviewers
www.Packtpub.com
Preface

Connecting to the HDInsight cluster and getting unstructured data


Everyone talks about big data and everyone wants big data in their BI solution, hence previously-ignored data that is semi-structured or unstructured has now become part of BI solutions. Generally, the ETL solution transforms semi-structured or unstructured data into a structured format using a platform such as Hadoop and loads the transformed data back to the data warehouse. However, there are instances where we hold unstructured data in an environment such as Hadoop and query it directly when required for analysis and reporting using Hadoop-supported projects such as Hive or Pig.

Microsoft provides the Hadoop environment as a cloud service and it is known as HDInsight Cluster. It not only supports Hadoop, but also HBase, Spark, and Storm. You can create your Hadoop cluster in Azure as an HDInsight cluster to hold semi-structured and unstructured data, and query it using either Pig or Hive.

In this recipe, let's see how we...