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Dave Krenik

Sapphire 2018 Wrap-up

Posted by Dave Krenik Employee Jul 10, 2018

 

This was my first SAP Sapphire event and I will say that (even as a former Oracle person) I left impressed.  There are several impressions imbedded in my psyche from the event:

  • Suits – lots of dark suits.  I’ve attended a number of tech events over the years and have not seen such a high proportion of attendees in suits.  Amazing – especially considering the humidity in Tampa.  I was literally melting…

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  • SAP (like many other IT vendors) appears to have a keen interest in all things Blockchain and Artificial Intelligence (AI).  SAP tied much of this back with their Leonardo product suite.  There were many Leonardo demos available show casing IoT, Machine Learning (ML), Big Data/Analytics, and (of course) Blockchain.  Cool stuff.
  • The newly announced SAP HANA Data Management Suite(soft bundle comprised of SAP HANA, Data Hub, Enterprise Architecture Designer, and Cloud Platform Big Data Services) is a big deal.  SAP is really looking to help its customers to make data management of SAP environments much easier.

 

Speaking of making management of SAP HANA environments easier, we had an amazingly popular demo for the Hitachi Storage and Server Adapters for the SAP HANA Cockpit.  Basically, what Hitachi Vantara has done – that no one else has done* - is empower the DBA to have greater control over their SAP HANA environment.  There are several storage/systems vendors who’ve done integration work to enable BU&R with SAP HANA Cockpit.  What Hitachi has done is to take this several orders of magnitude further.  DBAs can take snaps and clones (thick or thin), email alerts for CPU/memory usage, LUN/IOPS/Pool limits, trending for CPU, memory, LUN, and filesystem leveraging advanced analytics.  There are a lot more cool features of the Hitachi SAP HANA Cockpit Adapters and it would take a dedicated post just to touch on most of them. One more that deserves mention is the “Storage Graph Layout”.  The storage layout graph visualizes the hierarchical relationship of storage context of a specified HANA host. It shows the structure of LUNs, hostgroups, storage pool, and ports in the registered Hitachi storage for a specified HANA host:

CockpitAdapterHierarchy.png

If you would like to learn more about Hitachi’s Storage and Server Adapters for the SAP HANA Cockpit (and you should), you can either come see us at NEXT 2018 in San Diego September 25-27 or view the Best Practice Guide.

 

Thanks for reading.

A 3-point shot is worth ~3.5 times more than a 2-point shot?  Data analysts in the dugout?  What the…. Is this the apocalypse?

 

To say that analytics has changed sport would be a gross understatement.  Professional teams are stocked with Master Data Scientists that dissect and cross reference every movement on the field and court.  Proof point:  As of May 14, there were 28 NBA Statistical Analysis job openings.

 

In the NBA, teams such as the Houston Rockets and Boston Celtics have led the charge in embracing off-court strategies involving neural networks and advanced analytics.  Some of their research has led to the current strategy of avoiding “no man’s land” (the area between the paint and the 3-point line). Last season the NBA set a record for 3-pont attempts (about 32%) with this season to eclipse it.  This season about 34% of all shots were from 3-point range.  This compares to about 20% for the 2005/2006 season.

 

AllenIverson.jpgWhy the uptick in 3-pointers?  Analysis shows that, for the 2017/18 regular season and taking shooting percentage into account, 3-point shots and shots from “the paint” are almost 3.5 times more valuable than midrange shots taken between the paint and the 3-point line.

 

 

 

 

 

 

 

 

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Analytics has been a hot topic in MLB since Michael Lewis’ “Moneyball” came out in 2003.  Now it is even used to measure umpire sentiment/tendencies during extra innings.  According to this piece by fivethirtyeight.com, when games go to extra innings, umpires want to get home too. And, apparently, they alter their pitch calling to do so.

 

While now it is not unusual for an MLB team to have a cadre of data scientists, the Houston Astros (being true to themselves) have crossed the chasm between front office and the dugout by including a data scientist as a coach. They sent Sig Mejdal, one of baseball’s top quantitative analysts, to spend a season in the dugout with one of their minor league teams.

 

Not all has been good with analytics permeating MLB.  Many credit the lengthening of the game to the increased reliance upon analytics.  There are more pitchers (13?) on staff which leads to more pitching changes – with the relievers taking more time between pitches than the starters.  Batters are hitting more home runs as they’ve discovered the proper launch angle to blast one out of the park.  With analytics  likely to stay for MLB, one should expect to see some rule-tinkering to address long games.  Or just let the umpires do their thing when going to extra innings.

 

What does this have to do with Hitachi Vantara?  Plenty!  Build the foundation of your data analytics strategy with new reference architectures for big data. Optimized Infrastructure for Big Data and Analytics from Hitachi Vantara enables customers to eliminate their data silos to achieve greater business agility with actionable, data-driven insights.

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Build your data lake confidently with certified reference architectures. Reduce the risk of delaying your project because of improperly configured systems to support your big data architecture with new reference architectures for Hadoop clusters with Cloudera, HortonWorks, MapR and MongoDB.

 

Thanks for reading.

 

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