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Introductie van Micorosoft SQL Server 2016

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63 C H A P T E R 5 | Broader data access C H A P T E R 5 Broader data access As the cost to store data continues to drop and the number of data formats commonly used by applications continues to change, you need the ability both to manage access to historical data relationally and to seamlessly integrate relational data with semistructured and unstructured data. SQL Server 2016 includes several new features that support this evolving environment by providing access to a broader variety of data. The introduction of temporal tables enables you to maintain historical data in the database, to transparently manage data changes, and to easily retrieve data values at a particular point in time. In addition, SQL Server allows you to import JavaScript Object Notation (JSON) data into relational storage, export relational data as JSON structures, and even to parse, aggregate, or filter JSON data. For scalable integration of relational data with semistructured data in Hadoop or Azure storage, you can take advantage of SQL Server PolyBase, which is no longer limited to the massively parallel computing environment that it was when introduced in SQL Server 2014. Temporal data A common challenge with data management is deciding how to handle changes to the data. At a minimum, you need an easy way to resolve an accidental change without resorting to a database restore. Sometimes you must be able to provide an audit trail to document how a row changed over time and who changed it. If you have a data warehouse, you might need to track historical changes

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