IBM Innovate 2013 is a Technical Summit that provides insights that you need to stay ahead..... and it takes place June 2 - 6 in Orlando Florida.
This Summit offers over 450 outcome-driven sessions, including quite a few that are focused on the ever popular Big Data area. If you are attending the conference, you should consider attending these Big Data sessions:
BD-1962 : Agility in a Relational Database World - Dynamic Schema with JSON and DB2
Speaker: William Bireley, IBM
Today's mobile, social, and analytic applications demand agility, speed, and scalability using a flexible data model. This partly explains the huge interest in NoSQL databases. Modern applications frequently need to add, drop, or modify fields in the data store without administrator involvement. Change management processes associated with relational databases can be an impediment to continuous integration processes. A popular NoSQL approach is the use of a "document database", where documents are stored with a flexible format, such as JSON. Many existing NoSQL solutions offer these advantages, but sacrifice "ACID" characteristics of a traditional database, such as transaction control, recover-ability, and other aspects taken for granted in DB2. Using DB2 as a JSON document store provides the best of both worlds. This session describes a solution that does exactly that. The session also includes a live demo showing the power and flexibility of this JSON over DB2 solution.
BD-2501 : Big Data Predictive Analytics
Speaker: Mike McRoberts, IBM
Learn about the new Big Data feature in IBM SPSS Modeler and how to automate and integrate this capability into your application. You don't have to worry about Map/Reduce programming to take advantage of predictive analytics on Big Data.
SC-2486 : Cloud and DevOps: Big Demands, Big Iron
Speakers: Phil Murphy, Forrester; Hayden Lindsey, IBM
DevOps is changing how software is delivered, but how does it fit into your shop? The demands of delivering applications across mobile, social, big data, and cloud technologies are driving development teams to use many different types of technology. Furthermore, Agile methodologies are enabling development teams to deliver usable application features on quicker schedules. This is now happening for application development on all platforms, in private datacenters and public clouds. Learn how your organization measures up as Phil Murphy, VP and Research Director with Forrester Research, presents fresh research on the impact of these technology trends on IT organizations. Listen as Hayden Lindsey, IBM VP and Distinguished Engineer, discusses how software from IBM Rational brings agility to all of your development environments, from mobile apps to mainframe environments.
CLD-2185 : Developing in the Cloud? Turning Challenges into Opportunities
Speaker: Todd Moore, IBM
Address the increasing challenges of meeting the requirements of your customers. Reduce the pressures on development to deploy new services. Address the challenges by leveraging technologies that can develop once and deploy anywhere. Maximize the power of the cloud, while streamlining your development processes to include Mobile, Social, Big Data, and Business Analytics. Understand how OpenStack is providing flexibility in architecting your cloud. Learn how OSLC and TOSCA are integral to simplifying and accelerating your development processes. Todd Moore of IBM and Jay Snyder of Aetna Insurance will take you through their experiences on how they enabled their developer community to leverage these leading technologies to effectively deliver interoperable solutions. By the end of the session, you will understand how to take your team's development processes to the next level and be more responsive in meeting the needs of your customers.
BD-2498 : InfoSphere BigInsights Programming Overview
Speaker: Anshul Dawra, IBM
Get the most from your Big Data by developing new applications. We'll cover the popular programming styles for Big Data, including Map-Reduce, HBase, SQL and Hive, Jaql, Pig, and Text Analytics. We'll show how to create new applications from spreadsheets and display the results graphically. Learn how developers and end users can leverage big data with simple yet powerful programming styles.
BD-2499 : InfoSphere Streams Programming Overview
Speaker: Pete Nicholls, IBM
Big Data is everywhere we look. In late 2012, IBM conducted an audited benchmark illustrating how IBM Platform Symphony delivered a dramatic 7.3 times performance gain across a range of representative Hadoop MapReduce workloads. While the performance results are compelling, for many organizations the real value lies in associated opportunities for cost savings that arise from greater efficiency and resource sharing on a multi-tenant grid infrastructure. In this session, we will explain the benchmarks and results, detail the technologies that enabled the results, and discuss how organizations can take advantage of low-latency scheduling and new file system technologies to achieve dramatic efficiency improvements in their own Big Data projects. IBM will also unveil a total cost of ownership calculator that can help organizations estimate cost savings opportunities for a variety of distributed computing workloads including Hadoop MapReduce.
BD-2510 : Lightning fast access to Data with IBM Caching
Speaker: Brian Martin, IBM
Traditionally, data is placed in storage and when needed, accessed and acted upon in memory. This results in a natural bottleneck that impacts performance. As data volumes increase, the time required to access and analyze grows and becomes cumbersome. Complex calculation can't be accomplished in real time. With in-memory computing, we can better understand how data is shaped and stored. In this session, we will discuss how in-memory data grids like WXS & XC10 mark an inflection point for enterprise applications, especially with big data. Real-time information provides decision makers with insights not previously available. The session will cover how large data sets can be made available and accessed near-instantaneously.
BD-2511 : Test Data Management in the New Era of Computing
Speaker: Swati Moran, IBM
Big data means high volume, variety, velocity and veracity data. Most development and testing organizations aren't prepared to develop and test applications in this high pressure environment. Clients demand access and high availability. In the rush to meet growing client needs and build applications to support the speed of business, testing becomes even more critical. This session will explore best practices for test data management in the software development lifecycle to satisfy the demands of big data, while protecting sensitive data. In addition, it will explain how to speed delivery of big data applications while reducing cost by enabling testers and developers to access and refresh test data.
BD-2049 : Three Steps for Securing Big Data Environments - Why Big Data Doesn't Have to Mean Big Security Challenges
Speaker: Kimberly Madia, IBM
The ability to harness big data has opened the door for world-wide collaboration in real time. Organizations are able to process data on an extreme scale to derive maximum value. However, as big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to ensure data security reduces confidence in decision making. Ironically, organizations are generating more data now as compared to any other point in history, and yet they don't understand how to protect it. In this session, we will discuss three steps to improve security in big data environments.