Springer + Apress have a huge sale going on between now and Monday, December 2nd. You can get computer science ebooks for just $7 using the discount code
CYBERWEEK19 on the Springer website.
This includes PolyBase Revealed, scheduled for release in January. List price for the ebook is $19.99 and $27.99 for the softcover version, so this is a huge discount. You should probably buy a few dozen copies of it as a result, as this will make a great Valentine’s Day gift, I promise.
While you’re dropping $7 at a time on books, you should also buy Ben Weissman and Enrico van de Laar’s SQL Server Big Data Clusters. It won’t include all of the changes since RC1, but will get you up to speed on one of the more interesting SQL Server 2019-related products out there.
What: Live! 360 Orlando
Where: Orlando Royal Pacific Resort at Universal, Orlando, FL
When: Tuesday, November 19th through Thursday, November 21st.
Tickets are still available for purchase.
What I’m Presenting
Wednesday, 8:00 AM — 9:15 AM — Getting Started with Apache Spark
Wednesday, 9:30 AM — 10:45 AM — Data Virtualization with PolyBase
Thursday, 9:30 AM — 10:45 AM — Launching a Data Science Project
Thursday, 11:00 AM — 12:00 PM — Panel discussion: AI — For Data Scientists or Developers?
They’re going to keep me busy in Orlando and I love it.
Back in August, Carlos L. Chacon, Eugene Meidinger, and I recorded an episode for the SQL Data Partners podcast on PolyBase.
Episode 180 is now out for all to hear, so give it a listen.
Since then, there have been a couple modifications to PolyBase functionality, but the episode stands up well.
While you’re at it, you can pre-order PolyBase Revealed if you are so inclined. According to Amazon (and my secret connections at APress), it should ship sometime in late January, making it the perfect Valentine’s Day gift. Or something like that.
What: PASS Summit
Where: Washington State Convention Center, Seattle, WA
When: Wednesday, November 6th through Friday, November 8th.
What I’m Presenting
Wednesday, 4:45 PM — 6 PM — SQL Server Machine Learning Services in Production
With SQL Server 2019 having been released this week, I’ve shifted my presentation to focus more on 2019 than prior versions, especially around package installation and management. But there’s still plenty of information for people running 2016 and 2017.