Microsoft SQL Server 2012 with Hadoop by Debarchan Sarkar

By Debarchan Sarkar

With the explosion of knowledge, the open resource Apache Hadoop environment is gaining traction, because of its large atmosphere that has arisen round the middle functionalities of its dispensed dossier method (HDFS) and Map decrease. As of this present day, having the ability to have SQL Server chatting with Hadoop has develop into more and more vital as the are certainly complementary. whereas petabytes of unstructured information might be saved in Hadoop taking hours to be queried, terabytes of based info should be saved in SQL Server 2012 and queried in seconds. This ends up in the necessity to move and combine info among Hadoop and SQL Server.

Microsoft SQL Server 2012 with Hadoop is geared toward SQL Server builders. it's going to fast enable you to get Hadoop activated on SQL Server 2012 (it ships with this version). as soon as this is often performed, the e-book will specialize in how one can deal with immense facts with Hadoop and use Hadoop Hive to question the information. it is going to additionally disguise issues corresponding to utilizing in-memory services through SQL Server and utilizing instruments for BI with mammoth data.

Microsoft SQL Server 2012 with Hadoop specializes in facts integration suggestions among relational (SQL Server 2012) and non-relational (Hadoop) worlds. it is going to stroll you thru diverse instruments for the bi-directional stream of knowledge with useful examples.

You will discover ways to use open resource connectors like SQOOP to import and export info among SQL Server 2012 and Hadoop, and to paintings with prime in-memory BI instruments to create ETL ideas utilizing the Hive ODBC motive force for constructing your information circulation initiatives. eventually, this booklet provide you with a glimpse of the current day self-service BI instruments similar to Excel and PowerView to devour Hadoop facts and supply robust insights at the facts.

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Microsoft SQL Server 2012 with Hadoop

With the explosion of knowledge, the open resource Apache Hadoop environment is gaining traction, because of its large environment that has arisen round the center functionalities of its disbursed dossier procedure (HDFS) and Map lessen. As of this day, having the ability to have SQL Server chatting with Hadoop has turn into more and more vital as the are certainly complementary.

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Date int year, int month, int date: year: the year minus 1900. sql. Timestamp int year, int month, int date, int hour, int minute, int second, intnano: year: the year minus 1900 month: 0 to 11 date: 1 to 31 hour: 0 to 23 minute: 0 to 59 second: 0 to 59 nano: 0 to 999,999,999 [ 25 ] Using Sqoop – The SQL Server Hadoop Connector Data type category Character strings SQL Server data type char SQL Server data type range Sqoop data type Sqoop data type range Fixed-length, non-Unicode character data String Up to 8,000 characters String Up to 8,000 characters With a length of n bytes.

The simplicity and "SQL" – ness of the Hive queries have made it a popular and preferred choice for users, particularly, people familiar with traditional SQL skills love it since the ramp up time is much less. The following figure gives an overview of the Hive architecture: Hive HiveQL ODBC JDBC Thrift Server Hive Web Interface (HWI) Compiler, Optimizer, Executor Command Line Interface (CLI) Metastore Using the Hive ODBC Driver In effect, Hive enables you to create an interface layer over MapReduce that can be used in a similar fashion to a traditional relational database; enabling business users to use familiar tools such as Excel and SQL Server Reporting Services to consume data from Hadoop in a similar way as they would from a database system as SQL Server remotely through a ODBC connection.

Udl (Universal Data Link) file. udl. udl file, by default it should open with Microsoft OLE DB Core components and should look like the following screenshot: [ 34 ] Chapter 3 6. Choose Microsoft OLE DB Provider for ODBC Drivers and click on Next. 7. Choose the DSN HadoopOnLinux created in the previous steps. Provide the User name and Password for your Hadoop cluster and click on the Test Connection button. A successful test connection will confirm that the Hive ODBC driver is correctly set up as in the following screenshot and we are ready to go!

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Microsoft SQL Server 2012 with Hadoop by Debarchan Sarkar
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