IBM at DataWorks Summit: The future of data science

12 June, 2017
Peter Basmajian

Marketplace disruptors have one thing in common: data science. Data science is the process of discovering hidden insights from massive amounts of structured and unstructured data, using methods such as machine learning, data mining and predictive analytics. This multi-disciplinary approach is changing the way organizations solve problems and gain competitive advantage.

Join IBM at the Dataworks Summit, booth 702 in San Jose June 13-15

IBM invites you to discover the future of data science and identify your competitive edge with us at the DataWorks Summit 2017 on June 13-15 at the San Jose McEnery Convention Center. Visit booth 702 to hear about the latest in big data analytics and machine learning solutions to help you harness data and unlock insight.  From IBM Analytics and IBM Power Systems to IBM Spectrum Scale and Aspera big data transfer solutions, please join us to discover the power of open innovation with Hortonworks and our other ecosystem partners.   Demos will include making Hadoop enterprise-ready, accelerating Hadoop with in-place analytics using IBM Spectrum Scale and Aspera, the Hortonworks Data Platform and PowerAI deep learning on IBM Power Systems and IBM Machine Learning.

Hortonworks with IBM Storage and Power

Earlier this year, IBM and Hortonworks announced the availability of the Hortonworks Data Platform (HDP®) for IBM Elastic Storage Server (ESS) and IBM Spectrum Scale. The agreement represents the first IBM Storage offering and the industry’s first enterprise software-defined storage solution certified for Hortonworks.  The agreement with Hortonworks will lead to the certification of HDP on Power with IBM Spectrum Scale and HDP on x86-based servers with IBM Spectrum Scale.

With the announcement of the availability for Hortonworks Data Platform (HDP) on IBM Power Systems, clients can choose a 100 percent open-source Hadoop platform on an open server platform that delivers breakthrough performance and efficiency for big data and cognitive analytics.

The agreement also makes it possible for IBM clients to leverage their existing and future investments in IBM Storage by deploying Hadoop-based big data applications, and provides existing Hortonworks HDP customers an enterprise-class storage alternative with IBM Spectrum Scale for their Hadoop and Spark workloads.

When completed, HDP certifications will provide a significant layer of confidence to existing IBM and future clients. These users can now run Hadoop applications on the leading software-defined storage solutions. IBM clients will have the benefits of enterprise storage to analyze data in place with Hortonworks analytics applications. With the choice of centralized or distributed deployments, organizations can improve business efficiency with data management, backup, security and hybrid cloud storage.

Attend IBM keynotes, sessions and meetups

As a titanium sponsor of the DataWorks Summit, IBM will feature new announcements, numerous sessions and opportunities to learn more about big data and cognitive analytics.  Please join us to learn more.

IBM activities at DataWorks Summit at the San Jose McEnery Convention Center 

Monday, June 12

Hortonworks Partnerworks Accelerator 2-5:30 PM PST. For IBM and Hortonworks business partners. Free registration

Tuesday, June 13

Opening Keynote: Flattening the Cost of Curiosity 9-10 AM PST

The Future of Data Science 4:10 PM PST

Wednesday, June 14

IBM MeetUp: Machine Learning and IT 6:45 – 8:30 PM

Thursday, June 15

Alerting Real-Time Irregular Traffic Patterns in Spark with Automatic Data-Profiling and Machine Learning, 11:30 AM – 12:20 PM PST

Enterprise Large Scale Graph Analytics and Computing Base On Distribute Graph Database and Distribute Graph Computing In Memory and Hadoop2 12:20 – 1:00 PM PST

Introduction to Machine Learning Algorithms 2:10 – 3:00 PM PST

Apache Knox Gateway “Single Sign On” Expands the Reach of Enterprise Users, 4:10 – 5:00 PM PST

The post IBM at DataWorks Summit: The future of data science appeared first on IBM Systems Blog: In the Making.