Book Image

Microsoft SQL Server 2012 with Hadoop

By : Debarchan Sarkar
Book Image

Microsoft SQL Server 2012 with Hadoop

By: Debarchan Sarkar

Overview of this book

With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed complementary. While petabytes of unstructured data can be stored in Hadoop taking hours to be queried, terabytes of structured data can be stored in SQL Server 2012 and queried in seconds. This leads to the need to transfer and integrate data between Hadoop and SQL Server. Microsoft SQL Server 2012 with Hadoop is aimed at SQL Server developers. It will quickly show you how to get Hadoop activated on SQL Server 2012 (it ships with this version). Once this is done, the book will focus on how to manage big data with Hadoop and use Hadoop Hive to query the data. It will also cover topics such as using in-memory functions by SQL Server and using tools for BI with big data. Microsoft SQL Server 2012 with Hadoop focuses on data integration techniques between relational (SQL Server 2012) and non-relational (Hadoop) worlds. It will walk you through different tools for the bi-directional movement of data with practical examples. You will learn to use open source connectors like SQOOP to import and export data between SQL Server 2012 and Hadoop, and to work with leading in-memory BI tools to create ETL solutions using the Hive ODBC driver for developing your data movement projects. Finally, this book will give you a glimpse of the present day self-service BI tools such as Excel and PowerView to consume Hadoop data and provide powerful insights on the data.
Table of Contents (12 chapters)

The SQL Server-Hadoop Connector

Sqoop is implemented using JDBC and so it also conforms to the standard JDBC features. The schema or the structure of the data is provided by the data source, and Sqoop generates and executes SQL statements using JDBC. The following table summarizes a few important commands that are available with the SQL Server connector and their functionalities:



sqoop import

The import command lets you import SQL Server data into HDFS. You can opt to import an entire table using the --table switch or selected records based on criteria using the --query switch. The data, once imported to the Hadoop file system, are stored as delimited text files or as SequenceFiles for further processing. You can also use the import command to move SQL Server data into Hive tables, which are like logical schemas on top of HDFS.

sqoop export

You can use the export command to move data from HDFS into SQL Server tables. Much like the import command, the export command...