Are You Ready for Hadoop Summit 2016?
Hadoop Summit 2016 is scheduled for June 28-30 at the San Jose McEnery Convention Center in San Jose, California. Located just blocks from San Jose University, there are numerous upscale accommodations located conveniently to the venue. Noted for its art exhibits, the convention center has been recently renovated and reflects the latest in modern design and convenience.
Why Hadoop Summit is Different
There are several reasons why this particular convention stands out among the many big data, Hadoop, and business analytics conventions all over the country. First is its unique approach to developing breakout sessions. These sessions are selected by popular vote by the Hadoop and business communities at large, and developed by a committee of the industry’s most innovative minds.
Hadoop Summit also focuses on deeper insight and education, and includes a wide range of topics from the most basic to the most advanced uses of Hadoop and related products, services, and tools. The Summit features a community focus, including meet-ups and sessions that focus on users with common needs. Instead of simply learning how Hadoop works, attendees will receive business-focused learning based on their intended use cases.
Hadoop Summit 2016 Keynote Speakers
A lineup of impressive keynote speakers is also slated to deliver deep insight, including Hortonworks CEO Robert Bearden, Hortonworks cofounder Arun Murthy, Microsoft Corporate VP of the Data Group Joseph Sirosh, and Progressive Insurance Innovation Strategist Brian Durkin.
Hadoop Summit 2016 Special Events
Hadoop Summit also offers several Special Events of note, such as the Women in Big Data event, a luncheon featuring a panel presentation of the industry’s most impressive female leaders. This is an excellent networking opportunity for both women and men in the industry who are working hard to promote diversity in all areas of technology. This panel luncheon will be held on Tuesday, June 28 from 1-2 p.m.
The Summit also features a Public Sector Panel Discussion, focusing on the themes, tools, and techniques that are most applicable to Hadoop users in the public sector. This panel discussion features a hot breakfast buffet, and will be moderated by Chris Prophett, Regional VP for Hortonworks public sector sales. The event is to be held on June 29 from 7:15-8:45 a.m.
Hortonworks will also hold a 10-year birthday celebration for Hadoop. The first line of code that became the poster child for big data was developed in 2006. Hortonworks will celebrate the product that literally changed the landscape of modern data analytics. The Hadoop Cocktail (birthday) Party is open to all attendees on June 29 from 6:30-9:30 p.m. in the Keynote and Community Showcase.
A bike ride is also scheduled, and is also open to all attendees. The ride includes a 2-hour, 22-mile round-trip ride from the Convention Center to Silver Creek Valley and Coyote Creek Trail. The ride is free, but for riders who need a bike and helmet rental, there is a $65 charge. Riders who preregister will receive a limited edition Capo jersey, and refreshments before the ride, and a light breakfast after the ride concludes.
Syncsort, long-time contributor in the Hadoop development community, is also a platinum sponsor at the Hadoop Summit 2016. You can visit their booth (#1303) in the in the expo hall and talk to their experts on accessing and integrating mainframe and legacy data with Hadoop and Spark, and learn about their Confluent partnership and Kafka connectivity. You can also find out about their recently announced partnership with Hortonworks for an “ETL Onboarding” solution, by either watching theCUBE on Tuesday at 2:30 PT or attending a session on Tuesday at 4:10 PT – both featuring Syncsort’s Big Data GM, Tendü Yoğurtçu, PhD and Hortonworks CTO, Scott Gnau.
Whether you plan to attend the event or have to give this year a miss, you can still leverage the products you need to get a strong start and build a successful Hadoop initiative in your organization. Get started now with Syncsort’s full line of Big Data solutions.