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SQL Server 2016 Reporting Services Cookbook

You're reading from   SQL Server 2016 Reporting Services Cookbook Your one-stop guide to operational reporting and mobile dashboards using SSRS 2016

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786461810
Length 596 pages
Edition 1st Edition
Languages
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Authors (2):
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Robert Cain Robert Cain
Author Profile Icon Robert Cain
Robert Cain
Dinesh Priyankara Dinesh Priyankara
Author Profile Icon Dinesh Priyankara
Dinesh Priyankara
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting It Ready – Configuring Reporting Services FREE CHAPTER 2. Authoring Reports with SQL Server Data Tools 3. Advanced Report Authoring with SQL Server Data Tools 4. Authoring Reports with Report Builder 5. Improving User Experience – New Designing and Visualization Enhancements 6. Authoring Reports with the Mobile Report Publisher 7. Consuming Reports – Report Access Enhancement 8. Reporting Solutions for BI – Integration 9. SharePoint Integration 10. Administering and Managing Reporting Services 11. Securing Reports in Reporting Services 12. Custom Programming and Integration to .NET Applications

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...

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