Big Data Seminar 2014

This seminar provides you a one of kind perspective on both the business and IT side of Big Data and the Data Warehouse. It includes live examples and real world case studies that will enable you to understand this subject. You will gain insights into the new world of Data Warehouse, how the new technologies are changing the way we design and build data warehouses, what will the new generation of reports and analytics look like and who are the companies that have forayed into this new world.

Practical approaches and techniques are contained throughout the presentation on the business, technical, and organizational aspects of Big Data. It will also address the skill sets required to support BIG DATA applications and BIG DATA Architectures. The seminar format is very interactive with attendee questions encouraged throughout the day, and attendee experiences shared as time permits.

WHAT YOU WILL LEARN

Defining Big Data – What Is It and How Best To Utilize It

The Major Architectural Components of BIG Data – How They Fit Together

Big Data Technologies and How to Decide the Best for Your Organization

Linking Traditional Databases to the BIG DATA Environment

Data Management in Big Data Era: The Challenges and The Opportunities

Why so many Versions of HADOOP: Apache, IBM, Oracle, Google, Amazon, etc.

Implementing Moneyball Techniques to Leverage Big Data – The Role of Analytics

How to Architect Your Enterprise to Optimize Business Intelligence for BIG DATA

Why Globalization is Driving Integration and Massively Parallel Processing of Big Data

Best Practices For Managing Structured, Semi-Structured and Unstructured Big Data

What are the Leading Vendors in the BIG DATA Space: Databases, Reporting Tools, Query Languages

What are the Technology Skill Sets Needed for Training and Implementing a BIG DATA Project

How do you achieve Scalable Data Analysis and Visualization (SDAV)

Why does the role of Super Computing (e.g. IBM Watson) support the BIG DATA Environment

What Kinds of Applications Require GeoSpacial Analytics, Textual Disambiguation, Workload Isolation

How does the Usage of Mobile Communications and Social Media support your Big Data Projects

What are Crowd Sourcing, Longtail and Gamification Strategies

How Should you use the Forrester Wave Product Evaluation / Selection Criteria

White House Office of Science and Technology Policy (OSTP) - BIG DATA Research & Development Program (Co-Led by NIH and NSF): What Kinds of Applications and Overview of Technologies

Speaker and Presenter Information

Krish Krishnan

Mr. Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing and database solutions. As Special Advisor to Bill Inmon (“The Father of Data Warehousing”) and TDWI Instructor and Author (The Data Warehouse Institute), he is a visionary data warehouse thought leader, ranked as one of the top 25 data warehouse consultants in the world, and an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored three eBooks, over 125 plus articles, viewpoints, whitepapers and case studies in Big Data, Business Intelligence, Data Warehousing and Data Warehouse Appliances and Architectures. He has co-authored a book with Bill Inmon entitled “Building The Unstructured Data Warehouse”, the ground-breaking publication upon which Bill Inmon’s “Unstructured Data” Seminar is based. Krish's new book "Data Warehousing in the Age of BIG DATA" (Morgan Kaufmann) will help you make the most of Big Data within your existing Data Warehousing architecture.

A recognized authority on Unstructured Data Integration, text mining and text analytics, along with Bill Inmon, he is promoting the next generation of data warehousing, primarily on DW 2.0 platforms with unstructured data integration and social intelligence as key areas in BIG Data and Analytics.

Specialties: Performance Tuning VLDBs (250TB+), Social Media Analytics, High Performance Data Warehouse Architecture and Design, Hadoop, BIG Data, NoSQL, Text Mining, Deep Network Analytics, Neural Networks, Artificial Intelligence.

Look for Krish Krishnan's articles on BIG DATA Analytics as Data Management Forum will be working with other publications during the 2014 timespan including IBM's Data Magazine, Information Management Magazine (Source Media) and DataBase Trends and Applications Magazine, as well as publishing many of these articles in the Data Management Forum eNewsletter.