June 13th, 2016 Meeting
This June we have the opportunity to hear from Sheryl M. Larsen, BMC and Dr. Avijit Chatterjee, IBM.
Here is our agenda for the June 13th meeting:
8:00 to 8:30 am Check in and continental breakfast
8:30 to 8:45 am IBM
IBM Announcements – Shri Shrimali, IBM
8:45 to 10:00 am – Dr. Avijit Chatterjee
Run Spark on z Systems to deliver end-to-end Analytics
10:00 to 10:15 am Break
10:15 to 11:30 am – Sheryl M. Larsen
SQL Performance Tuning in 2016
11:30 to 12:30 pm Lunch
12:30 to 2:00 pm –  Sheryl M. Larsen
Think You Can Avoid the Digital Tsunami?  Think Again
2:00 to 2:15 pm Break
2:15 to 3:30 pm – Dr Avijit Chatterjee
IBM Cloud Data Services is Open for Data
3:30 to 3:35 pm Stefan Kolev, President
User Group Announcements

More Information:
Speaker Bios:
Sheryl M. Larsen is a Sr. DB2 Product Specialist at BMC. Previously she worked for IBM, Sheryl M. Larsen, Inc., and Platinum Technology. She is known for her extensive expertise in SQL Tuning and has performed detailed DB2 Performance Health Checks for many fortune 500 clients. Sheryl has over 25 years experience in DB2, has published many articles, white papers and co-authored a book, DB2 Answers, Osborne-McGraw-Hill, 1999. Currently she is the President of the Midwest DB2 User Group - www.mwdug.org, and a member of the Northern Illinois University Computer Science Alumni Council.
Dr. Avijit Chatterjee is a Senior Technical Staff Member in the IBM Competitive Project Office and also a member of the IBM Academy of Technology. Dr. Chatterjee is a thought leader specializing in Big Data, Analytics, Mobile Computing and Enterprise Architecture.  His active hands-on research and deep expertise uniquely position him to share his broad knowledge and deep insights with customers worldwide. During his 25 years with IBM, Dr. Chatterjee has provided consulting services to customers, played an instrumental role in launch of products resulting in 6 patent filings, led development of industry solutions and participated in numerous research projects.   He has a Ph.D. in Computer Science from the University of Southern California.
SQL Performance Tuning in 2016
New access paths, size limits, and new features can change the way you look at tuning your DB2 workloads. Today’s digital forces add to the complexity. Come hear about some old and new tuning techniques like adding math, empty data, or creative table expressions, applying hints, and profiles that can get you ahead of the learning curve. Best practice strategies for getting a handle on all DB2 resource consumption will also be included.
Objective 1: Understand what the new DB2 features will change the way we tune queries.
Objective 2: Understand what external forces will change the way we tune queries
Objective 3: Learn the five ways to make DB2 SQL go faster
Objective 4: Learn what the long term implications are in using hints
Objective 5: Learn what BMC solutions can tame DB2 resource consumption
Think You Can Avoid the Digital Tsunami? Think Again
The explosive growth of data in the digital enterprise can hit your organization like a tsunami so you’d better be prepared to avert a disaster. Tsunamis, as you may know, are massive tidal waves, usually caused by earthquakes, volcano eruptions, and landslides. The destruction can be far reaching and long term.

Just like a tsunami in nature, the digital tsunami will be devastating. If you’re not prepared, the wave of overwhelming data growth will slow down your applications and lead to outages, costing you customers.  This digital tsunami is caused by the demands of people accessing more applications and conducting transactions more frequently than ever before. For example, several years ago you may have gone to a gas station and paid for the gas with a credit card. You just conducted just one transaction with your bank. Today, while you’re waiting for the tank to fill, you check your account balance, deposit a check using the camera in your phone, transfer funds from your savings account, and purchase that movie ticket for later tonight. In the same amount of time, you created five transactions with your bank. This type of activity is driving an exponential growth in data to your business.
Failure to use the right tools to optimize and manage this growth can result in downtime that leads to lost customers and lost revenue. There’s a new way of looking at downtime. One large credit card company that processes over 1,000 transactions a second told us they don’t measure downtime in dollars, but rather in lost customers. Every minute of downtime costs the business 60,000 customers who may never return.
Run Spark on z Systems to deliver end-to-end Analytics

Most businesses today are targeting customers as individuals and no longer as segments. Hence, CxOs have a new boss in town - the customer! Analytics helps companies cater their products and services to the right customer at the right place and right time. To understand what the customer wants in real-time, one has to analyze enterprise operational data often residing on on-premises z Systems as well as external data from blogs, social network sites and IoT sources. Spark helps keep the data in place and run in-memory analytical queries using a federated approach. It powers a universal compute model acting as a new operating system for analytics. It supports a wide variety of data formats and supports SQL, streaming, graph and machine learning based computations. Spark in conjunction with Rocket's Data Virtualization Server running in z/OS can access any z Systems data source seamlessly and integrate with analytics results from Spark running on the public cloud accessing external data. IBM is a strong contributor to the open Spark ecosystem and provides best of breed technology for end-to-end analytics.

IBM Cloud Data Services is Open for Data

IBM Cloud Data Services (CDS) provides a complete portfolio of managed services for data and analytics. Using a hybrid, open source-based approach that application developers, data scientists and IT architects seek, IBM CDS addresses their data-intensive needs and delivers both immediate and longer-term benefits. It gives every member of the data team self-service access to the right tools for their jobs.
Member Fees
The membership fees for 2016 remain unchanged from 2015 and the breakdown is as follows:
2016 Fee Structure:
Annual Membership $180.00
Pay in Advance Single Event $ 55.00
Late Registration/Walk in Single Event $ 65.00
Please Note:  There are options to purchase annual memberships as well as individual meetings through the website.
Meeting Location
A reminder that our meetings are held at Kansas University -
Edwards Campus, Regnier Building at 127th and Quivira in Overland Park.
*** Please note this is the Regnier Building at KU-E, NOT the ***
*** Regnier Building at Johnson County Community College. ***
Kansas University - Edwards Campus
12600 Quivira Rd
Overland Park, KS 66213-2402
Maps and directions are available here:

The Regnier building is in the southeast corner of the complex, and you will find parking in front of that building off of 127th St. Our exact room will be posted on the information screen as you enter the building.

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