Information On Demand Technical Unconference

IBM is hosting an unique industry event where YOU set the agenda. Make your voice heard at this participant-driven unconference to be held during Information On Demand 2012 at the Mandalay Bay Convention Center in Las Vegas, NV. The Technical Unconference is open to conference attendees, students, professors, as well as local IT pros, developers, and architects.

You and your fellow attendees will lead and participate in discussions around all facets of the future of data. We invite you to submit your ideas below for what topics should be on the Unconference agenda and vote on the best of your peers’ ideas. If your proposal is to give one of the lightning talks please say “Lightning” in the subject.

To kick off the participant discussions, here are some big questions to think about:

•How should APIs & Programming languages evolve to better serve developer needs?
•What’s so different about big data? How is big data changing your company?
•Should we control how big data is used? Is privacy by design possible?
•What skills & tools do data scientists need? How will the role evolve?

What is an Unconference??

An Unconference is an event where the participants create the agenda. The Information On Demand Technical Unconference is a participant-driven conference with little structure, where the attendees drive the agenda and freely form new discussions and sub-groups as ideas emerge. You and the other attendees will suggest and then select the topics through a voting process.

We’ll begin with an hour of lightning talks: each presenter gets 5 minutes to cover a timely and relevant topic. After the lightning talks, we will break into one or more open discussion groups to explore the topics you’ve chosen. This is the opportunity to share how you are shaping the future of data and learn how your peers are doing the same. Don’t miss this unique opportunity to join – and create – the conversation.

Information On Demand 2012

Get more details about Information On Demand 2012. Separate registration for Information On Demand 2012 is required.

Let us know if you’ll be at the no-charge Unconference and choose whether you are also attending Information On Demand 2012. Register Here

Suggest a topic or lightning talk for the Information On Demand 2012 Technical Unconference

You've used all your votes and won't be able to post a new idea, but you can still search and comment on existing ideas.

There are two ways to get more votes:

  • When an admin closes an idea you've voted on, you'll get your votes back from that idea.
  • You can remove your votes from an open idea you support.
  • To see ideas you have already voted on, select the "My feedback" filter and select "My open ideas".
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  1. Using FileNet Deployment Manager (FDM) 5, is is a time saver?

    When it comes to making changes to a FileNet installation, do you make design changes directly to production or do you use a tool to migrate tested elements from another instance to enhance the experience and prevent mistakes?

    9 votes
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    • Branding Cognos - Advanced

      How to change the headers, splash screens, customize About and Help pages to be tailored to your company instead of IBM. Make the IBM product fit seamlessly with other online tools your business provides. Include lists of files, where they reside in a distributed environment, and key fields to update.

      8 votes
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      • DISCUSSION TOPIC: Big Data's optimal deployment model

        Big Data's optimal deployment model: Federate it all?

        7 votes
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        • Optim Performance Best Practices for VLDB Data Growth(Archiving), Test Data Management/Masking

          Attendees will gain insight into
          • Optim Tuning knobs for various RDBMS
          • How to Architect and size for Optimal Performance
          • Best Practices and Use Cases from the Labs
          • Tools and Techniques to help you tune various types of Optim requests
          • Optim Connect /ODM Performance
          • And much more.

          7 votes
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          • Data Normalization Considered Harmful?

            In relational databases, data normalization is a methodology that minimizes data redundancy to safeguard against logical and structural problems, such as update anomalies. Relational database normalization continues to be taught and practiced widely. Normalization was devised in the 1970s when the assumptions about data management and computer systems were very different from what they are today.
            In this discussion we want to examine the problems associated with data normalization, such as complexity, performance, versioning, and the difficulty of mapping real-world business records to normalized data in a changing world. Also, the World Wide Web has impacted the creation and exchange…

            6 votes
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            • Analytics: a key tool in the design of web and mobile interfaces

              A look at some of the emerging trends around analytics-based design and navigation systems using the popular IBM developerWorks site as the focus.

              6 votes
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              • Big data best practices and the laws of physics - can't break either and be successful

                What summary level lessons learned do you ABSOLUTELY need to be are of for your first big data projects...

                5 votes
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                • Migrating BI/Reports from other reporting Tools to Cognos

                  There are many things one should consider when migrating from other reporting tools to Cognos. The migration of 500+ reports from another reporting tool to Cognos at our company taught me quite a few things . . . some things I learned the hard way. This talk will summarize the challenge, provide an overview of the the approach and show the results.

                  5 votes
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                  • Cost-cutting: maxxing installed zIIPs to drive down billable MSUs.

                    Explore all alternatives maximizing transfer of workloads to zIIPs (a.k.a. SE or Specialty Engine) processors to help drive down costs and/or increase available capacity on the CP CPUs.

                    4 votes
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                    • Need for Automated ETL Process Control and Monitoring

                      Almost all ETL projects face several challenges in ensuring smooth operations and trusted information delivery. The entire task is time-consuming and intricate, and teams tend to miss on the SLAs, resulting in loss of business or lapses in regulatory compliance. Maintainability and supportability requirements need to be standardized enabling the development team to concentrate on business requirements and support team to concentrate on improvement initiatives rather than manual operational monitoring . The operational process needs to be automated and ensures consistency to deliver the required information at the right time to the organization for effective decision making.

                      4 votes
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                      • Open Source R and the IBM Big Data Stack

                        R is taking off like a rocket ship in analytics, due in large part to its large open source support for machine learning, modeling, and visualization. How important is it for IBM Big Data to have a clear R integration story?

                        4 votes
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                        • Upgrading to Cognos 10.x from 8.x - Going it Alone

                          Should you hire a third party (IBM or IBM partner) to upgrade for you? Should you do it by yourself? What tools/resources are available? How long is this going to take...really?

                          We studied the options, put a plan together, and successfully upgraded from Cognos 8.4.1 to Cognos 10.1.1. This talk will provide an overview of our strategy and summarize our lessons learned.

                          4 votes
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                          • Thin Provisioning: A New Paradigm for DB2 deployments

                            Thin provisioning is a storage provisioning option for DB2 for z/OS databases. This new technology has its own interesting challenges. This session helps you understand the technology and the trade-offs of using it compared to more traditional storage provisioning methods.

                            4 votes
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                            • Deploying an ECM solution stack in any kind of cloud

                              wondering if there are other paties interested in having IBM ECM technology cloud enabled so a customer would get full flexibility where to deploy. And on the other hand a service provider could market the solution on its own.

                              4 votes
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                              • Taming the Data Conformance Challenge

                                Today, most organizations struggle to conform disparate source data in a cost-effective, timely and usable form. Whether the focus is transactional or analytical use, variations of employing ETL and other related tools for data quality and master/reference data management purposes still comprise the vast majority of time, effort and cost. What forward looking techniques/tools can be applied to improve this situation?

                                4 votes
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                                • IBM Master Data Management

                                  Single view of customer, supplier, account, location is fundamental to information management opportunites and sales.

                                  4 votes
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                                  • DISCUSSION TOPIC: Public cloud, have we defined it correctly and will it play a role in the enterprise.

                                    Discuss the way we've defined public cloud relative to other cloud and/or datacenter outsourcing options and whether or not the use of public cloud has a role in the enterprise.

                                    3 votes
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                                    • Java programming & DB2

                                      Java is a totally different programming environment compared to COBOL / PL1. Using JPA / Hibernate / pureQuery has many issues that affect both design and performance. We need to find a neat solution for Java to utilize all the goodies that DB2 has.

                                      3 votes
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                                      • 3 votes
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                                        • Using Operational analytics as a competitive advantage

                                          A look at how using analytics within any department of an organization can lead to competitiveness

                                          3 votes
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                                          Information On Demand Technical Unconference

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