How to get started with Poly. Base in SQL Server 2. One of the more intriguing features included with SQL Server 2. Poly. Base, a transparent access layer that facilitates connectivity between the database engine and external data sources containing unstructured or semi- structured data. Instant Apache Servicemix How To Pdf Download here. Poly. Base is optimized for data warehouse workloads and analytical query processing, making it easier than ever to merge big data into the SQL Server universe.

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1. SQL Server DBA Training Page 3 of 48 2. Installing and Configuring SQL Server Installation Unlike Oracle, Microsoft do not make their software available for download.
2. For content related to previous versions of SQL Server, see Installation for SQL Server 2014. Documentation to help you install, configure, and use SQL Server.

The release of SQL Server 2005 brings lots of changes in every aspect of the product. Join Kalen Delaney and Ron Talmage on an exploration of the new management tools.

Poly. Base is not new. It has been part of the Microsoft Analytics Platform System since it was still called Parallel Data Warehouse. Poly. Base seamlessly bridges SQL Server with external data sources, allowing you to use familiar T- SQL constructs to create connections and query the data, just like you can traditional database tables. Introducing Poly. Base in SQL Server 2. With Poly. Base, you can access data in Hadoop clusters or Azure Blob Storage, using the same SQL Server features you use with relational data, whether creating statistics, implementing columnstore technologies, leveraging business intelligence (BI) tools or using other SQL Server components. You can even create queries that join semi- structured data with SQL Server relational data sets.

Poly. Base is built into SQL Server 2. Java, Map/Reduce, Hive or other Hadoop- related concepts. You can leverage existing SQL Server tools and use your T- SQL know- how to explore unstructured and semi- structured data, all within the familiar SQL Server environment. The Poly. Base engine determines when to generate map jobs on an as- needed basis.

In addition, the engine parallelizes operations when importing data from Hadoop or Azure. The Poly. Base operations remain transparent to the querying application because the external data source is incorporated into the database schema. You can query and integrate data from different systems, without having to customize your existing applications. Getting started with Poly.

Base. To set up Poly. Base, you must select the Poly. Base feature Poly. Base Query Service for External Data as part of your SQL Server installation. You can install Poly. Base on only one SQL Server instance per machine.

The installation process adds three user databases (DWConfiguration, DWDiagnostics and DWQueue) and two services (SQL Server Poly. Base Engine and SQL Server Poly.

Base Data Movement Service). Currently, you can use Poly. Base to retrieve external data from the Cloudera and Hortonworks versions of Hadoop, as well as from Azure Blob Storage. Microsoft plans to add other data source types in future SQL Server versions.

After you install SQL Server with the Poly. Base feature, you must run the sp configure system stored procedure to enable Poly.

Base for one of the supported data source types. From there, you can take the following steps to add the necessary schema objects to your database: Create an external data source object to define a connection to the Hadoop File System or to Azure Blob Storage. To create a data source object, use a CREATE EXTERNAL DATA SOURCE statement. Create an external file format object to specify the format of the Hadoop or Azure data. Currently, Poly. Base supports three formats: delimited text, Hive RCFile and Hive ORC. To define a file format object, use a CREATE EXTERNAL FILE FORMAT statement.

Create one or more external tables based on the data source and file format objects. The tables provide a schema- based structure for referencing the external data, and can be referenced just like relational SQL Server tables. To create a table, use a CREATE EXTERNAL TABLE statement. If you view your database in SQL Server Management Studio, you'll find a couple of new folders in Object Explorer at the database level. The first is the External Resources subfolder beneath the database. This contains any defined data sources and file formats.

In addition, the Tables folder will now include the External Tables subfolder, which lists any defined external tables. Moving ahead with Poly. Base. After you create your external tables, you can use the CREATE STATISTICS statement to define query optimization statistics for those tables. When you create statistics on an external table, the database engine imports the data into a temporary table in SQL Server. Microsoft also has added a number of dynamic management views to SQL Server 2.

Poly. Base queries. In addition, you'll find several catalog views for retrieving information about the external data sources, file formats and tables that have been defined. By including Poly. Base directly in SQL Server, Microsoft has taken an important step in bringing together structured, unstructured and semi- structured data. That data can now be made available to Microsoft BI tools such as Power Pivot and Power Query, as well as third- party BI products such as Tableau and Cognos, providing more flexibility for conducting analytics and running comprehensive reports. Now when you use SQL Server 2.

Hadoop and Azure Blob Storage data from whatever environment you're working in.