On September 19, 2013 in Palo Alto, SAP held their Startup Focus program for small companies interested in Big Data, Predictive Analytics and/or Real-Time data space. SAP’s HANA technology experts showed how to create market ready solutions and pitch to venture capitalists using HANA Real Time Fund and SAP Ventures. Special thanks to Scott Jones and Mark Noronha for explaining the advantages of in-memory database systems and why you still need to know SQL. Also, there was an electric car charging station in front of the building with a Nissan Leaf plugged in. Pretty cool.
On Wednesday, August 7, 2013 in Sunnyvale at NetApp, The Hive Held an event discussing Big Data, Hadoop, Hive, MapReduce, Pig and SQL. Raghu Ramakrishnan of Microsoft moderated panelists Justin Erickson of Cloudera, Alan Gates of Hortonworks, Sausheel Kaushik of Pivotal, Priyank Patel of Teradata Aster, and Tomer Shiran of MapR. Grabbing large batches of data with MapReduce is fine, but businesses still want SQL for interactive and real-time queries. The result will be a hybrid of new and old strategies. The best strategy is to hire an experienced SQL developer with a strong ETL background and let them learn the new tools. You will get the information you need when you need it.
On July 2, 2013 in Mountain View at Microsoft, the SVForum Cloud and Virtualization SIG presented “DevOps: A Practical Guide” by Damon Edwards of DTO Solutions. Edwards showed how to make the case, educate the players, design and execute a DevOps project.
On July 17, 2012 at the Santa Clara Convention Center, the fourth annual Global Career Fair with Tech Symposium hosted panel discussions on cloud computing, big data, mobile and security issues. Some of the speakers attending: Stefan Andreasen of Kapow, Anjul Bhambhri of IBM, Jake Flomenberg of Accel, Brian Johnson of eBay, KRS Murthy of I Cubed, Sumeet Singh of Yahoo, Bala Venkatrao of Cloudera and Bob Wiedenhold of Couchbase. Companies looking for talent were Apple, Arista, Barnes and Noble, BMSOFT Systems, Citrix, Couchbase, HCL, HP, Infosys, Pocket Gems and Tata.
On March 28, 2012 in San Francisco at Nixon Peabody, SVForum presented “Health Tech Breakfast Series: 3D Health – Data, Decisions And Dollars.” Khaled Shami of Nixon Peabody moderated panelists Vineet Gulati of Health Expense, Niraj Katwala of Healthline Networks, Chris Hogg of 100Plus and Vibhor Rastogi of Intel Capital.
Digitized medical records are adding to the tidal wave of big data. More than forty percent of physicians are using their iPads to access that data with over 17,000 apps. While their opportunities using publicly available government health statistics, most money will be made in analyzing and reporting information to health care providers and patients. No matter what kind of health care system you have, it will have big data and you will need the tools do deal with it.
On February 21, 2012 in Palo Alto at SAP, SVForum’s Business Intelligence SIG Chair Corrinne Kahler introduced John Akred of Accenture. His topic was “Pervasive Data-Based Decisions.” Despite talk about SQL versus noSQL, the rise of big data does not mean the end of relational databases. Experts recognize the two worlds must coexist. Structured or unstructured, data is still data and needs to be turned into useful information. Big data is like the ocean, there is a lot of water but it must be processed before you can drink any of it. Now there will be even more demand for database ETL professionals willing to dive into it.
Big data will be incorporated to existing data structures adding more value through better context. GPS tracking data on delivery trucks gives insight into employee productivity and customer satisfaction. Tracking customer behavior informs how they make purchasing decisions.
Akred thinks people need to understand the difference of geometric and linear scalability. Most relational databases scale geometrically with costs of processing and storage increasing geometrically. With big data technologies like Hadoop, Cassandra or Amazon’s DynamoDB, the first terabyte of storage and processing power costs the same as the last.
Tools created by Asterdata, Greenplum and Microsoft SQL Server Azure can then bring this linear scalability to the relational world.
In short, companies are building better funnels for the fire hose of data heading your way.