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How to create effective SQL server databases

Data type choices can have a significant impact on your database design and performance. A best practice is to “right-size” data types by asking business questions and determining the data types that are best suited to the organization’s needs.

Some of the ways that data type choices affect SQL include:

  • The ability for DBAs to write more efficient code
  • Unintended performance impacts, such as unnecessary page splitting
  • The efficiency of an execution plan
  • And more

Read this white paper to learn about all of the ways that data type choices can affect SQL Server database performance.

These are also closely related to: "Docmosis V2.0"

  • JSON: SQL++ vs SQL:2016

    In this whitepaper, Don Chamberlin (co-designer of the original SQL) compares SQL++ and SQL:2016 – two quite different SQL-based approaches to querying JSON data. SQL++ creates a new SQL-based language specifically for JSON data, while 2016 allows JSON documents to be stored in columns of tables.

    The paper introduces both languages, looks at example queries written in each, and analyzes their pros and cons. You’ll learn how SQL++ can enable you to: 

    • Use your existing SQL skills with a more flexible data format
    • Shorten your queries by about 3x compared with SQL:2016
    • Operate on JSON data without converting it to or from relational data

  • Determine what NoSQL database is best for your use case

    Choosing a new database is always an overwhelming process—particularly when you’re choosing to move to a NoSQL system.

    While NoSQL databases are often marketed as a one size fits all solution, their best use cases are often much more focused. You’re likely looking for a database that can handle:

    • Queues
    • Metadata
    • Searches
    • Data ingestion
    • Or more

    Read this white paper to help determine what NoSQL solution is best for your specific needs, instead of rushing into the wrong database.

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