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SQL Data Partners Podcast

Hosted by Carlos L Chacon, the SQL Data Partners Podcast focuses on Microsoft data platform related topics mixed with a sprinkling of professional development. Carlos and guests discuss new and familiar features and ideas and how you might apply them in your environments. Visit our website for episode show notes at sqldatapartners.com/podcast and leave a comment if you have a topic you think we should discuss. We’ll see YOU on the SQL Trail.
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SQL Data Partners Podcast
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Hosted by Carlos L Chacon, the SQL Data Partners Podcast focuses on Microsoft data platform related topics mixed with a sprinkling of professional development. Carlos and guests discuss new and familiar features and ideas and how you might apply them in your environments. Visit our website for episode show notes at sqldatapartners.com/podcast and leave a comment if you have a topic you think we should discuss. We’ll see YOU on the SQL Trail.

Feb 1, 2017

Part of what we like to do on podcast is to present topics and discuss different ways you might use features. In this episode, we go back to basics and discuss indexes. Like most topics, we made sure to explain all the important aspects. Because this is a such broad topic, we decided to carry this over into our next episode as well. Using the phone book as an example, we chat with our guest Randolph West and explain heaps, non-clustered indexes, and clustered indexes. We also explain best practices to use them when creating new tables.

We didn’t forget to cover the problems you might run into. For example, you might not think about indexes until your data grows very large. Sure, you can attempt to resolve the problem by moving to SSD’s and increasing memory, but this will push the issue further in the future. In this episode, we will discuss considerations for indexes and why database architecture is so important.

We would like to hear your opinions. What are your strategies when using indexes? Use the hashtag #sqlpodcast and let us know!

The shownotes for today’s episode is found at http://sqldatapartners.com/2017/02/01/episode-81/ and have fun on the SQL trail.

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