By Debarchan Sarkar

ISBN-10: 1782177981

ISBN-13: 9781782177982

With the explosion of information, the open resource Apache Hadoop atmosphere is gaining traction, because of its large surroundings that has arisen round the center functionalities of its disbursed dossier approach (HDFS) and Map decrease. As of this present day, with the ability to have SQL Server chatting with Hadoop has develop into more and more very important as the are certainly complementary. whereas petabytes of unstructured facts may be saved in Hadoop taking hours to be queried, terabytes of based information may be saved in SQL Server 2012 and queried in seconds. This ends up in the necessity to move and combine facts among Hadoop and SQL Server.

Microsoft SQL Server 2012 with Hadoop is geared toward SQL Server builders. it's going to fast aid you get Hadoop activated on SQL Server 2012 (it ships with this version). as soon as this is often performed, the e-book will specialise in the way to deal with giant facts with Hadoop and use Hadoop Hive to question the knowledge. it is going to additionally hide issues similar to utilizing in-memory capabilities by way of SQL Server and utilizing instruments for BI with mammoth data.

Microsoft SQL Server 2012 with Hadoop makes a speciality of information integration ideas among relational (SQL Server 2012) and non-relational (Hadoop) worlds. it is going to stroll you thru various instruments for the bi-directional flow of knowledge with functional examples.

You will learn how to use open resource connectors like SQOOP to import and export facts among SQL Server 2012 and Hadoop, and to paintings with top in-memory BI instruments to create ETL recommendations utilizing the Hive ODBC driving force for constructing your facts stream initiatives. eventually, this ebook provides you with a glimpse of the current day self-service BI instruments similar to Excel and PowerView to eat Hadoop facts and supply strong insights at the facts.

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44 ] Chapter 3 Right-Click on the ADO NET Source and click on Edit to configure the source to connect to the Hive table using the connection just created. Select the connection manager (I named it Hive Connection) and the Hive table (In my case, it is the facebookinsights table). You can preview the data to ensure that the source can fetch the data without issues. Also, make sure, you navigate to the Columns tab and confirm that you can see all the columns from the table. NET connection manager.

You have to fill in the details of the Hive Data source that you would like connect to. In this case, I have named the Linked Server as LINKTOHIVE. You have to choose Microsoft OLE DB Provider for ODBC Drivers from the Provider list.

However, query execution, performance, and turnaround times are often decisive factors for most common BI implementation scenarios. Query responses from Hadoop and Hive are predominantly batch operations, which are designed and expected to be time consuming and no-way close to real time. But there are scenarios that businesses demand, where they need real-time answers to their queries. You could import data from Hadoop to SQL Server Analysis Services (SSAS) by using Hive Query Language (HQL). Analysis Services can then take it up from there and provide real-time insights and powerful reporting on the data.

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Microsoft SQL Server 2012 with Hadoop by Debarchan Sarkar

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