Comments on: The Future Isn’t In Databases, But In the Data https://thomaslarock.com/2018/06/the-future-isnt-in-databases-but-in-the-data/ Thomas LaRock is an author, speaker, data expert, and SQLRockstar. He helps people connect, learn, and share. Along the way he solves data problems, too. Mon, 11 Jun 2018 17:06:59 +0000 hourly 1 https://wordpress.org/?v=6.7.2 By: Thomas LaRock https://thomaslarock.com/2018/06/the-future-isnt-in-databases-but-in-the-data/#comment-25753 Mon, 11 Jun 2018 17:06:59 +0000 https://thomaslarock.com/?p=19137#comment-25753 Ha! Yeah, I do have a math background. However, much of the math needed these days is not that complex. And you don’t have to do a lot of calculations, many programs do that for you. You definitely need to know *why* the math is returning the results, and how to interpret them. And that’s just a skill, same as any other skill, that you learn by doing.

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By: Azure Weekly: June 11, 2018 – Microsoft to acquire GitHub for $7.5 billion – Build Azure https://thomaslarock.com/2018/06/the-future-isnt-in-databases-but-in-the-data/#comment-25707 Mon, 11 Jun 2018 12:12:46 +0000 https://thomaslarock.com/?p=19137#comment-25707 […] The Future Isn’t In Databases, But In the Data by Thomas LaRock […]

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By: cteveret https://thomaslarock.com/2018/06/the-future-isnt-in-databases-but-in-the-data/#comment-25098 Tue, 05 Jun 2018 12:51:54 +0000 https://thomaslarock.com/?p=19137#comment-25098 Good read! I recall from a post I read on your site once that you were working on a master in mathematics way back when when you went into IT? Well anyway, your heavy math background positions you well for the move from data management to data science. Those of us, like myself, who are weak in math and got into the data management gig from the business side (MIS), are in deep trouble. I’m working to gain skills in data analytics as well but realized that before I can understand a p value I need to understand a quadratic equation. I’m all the way back now to 8’th grade algebra which it seems I never really mastered. After that comes trig, and then calculus, and then basic statistics and probability, and then discrete math, and then maybe I might be ready to embark on data science. Dr. Codd imagined a world where the engineers built a relational DBMS with a logical data model that abstracted all of this math for the business analyst. Now it seems the opposite has happened and to make any use at all of all this data in the morass of 343 different DBMS you need to be master statistician, computer scientist, software developer, and data analyst all rolled into one. I’m betting he is rolling over in his grave right now. On the positive side, diving back into the math is a worthy endeavor and keeps the brain young 🙂

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