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Featuring Krish Krishnan

One of the World's Most Knowledgeable Experts on BIG DATA  
Learn All About BIG DATA and Real-World Case Studies 

w September 15-16, 2016 (Thursday-Friday) w New York City w

Hotel Pennsylvania - Midtown Manhattan - Across from Penn Station

(401  Seventh Avenue at 33rd Street near Herald Square w Minutes from Times Square, Theatre District and Restaurant Row)


Tutorial on all of the latest TOOLS and TECHNOLOGIES - Analyzing, Selecting and Using

The BIG DATA TOOLS for Reporting, Database, Data Analytics, MetaData, and ETL

Special Half-Day HADOOP DEMO and Overview

Learn All About BIG DATA and Real-World Case Studies

Typical Use-Cases and Applications,

And How to Make the Most of the Power of BIG DATA in Your Organization


  Krish Krishnan, President and CEO, Sixth Sense Advisors, Inc

 Co-Author with Bill Inmon: "Building the Unstructured Data Warehouse",

Recently Authored: "Data Warehousing in the Age of BIG DATA"

Faculty Member, The Data Warehouse Institute (TDWI),

Chief Technology Officer of Forest Rim Technology, LLC,

“BIG DATA Evangelist and World Leading Expert, Very Popular Seminar Leader”

 “This is a Must-Hear Two-Day Intensive Overview of the Future World of  BIG DATA and How to Utilize and Leverage it within Your Own Organization as Presented by one of the World’s Leading Experts”

                                             Download flyer here


Definition of Big Data Environment

The Five V’s of Big Data (V5)

BIG DATA Governance

Types of Big Data / Data Sources

Topical, Social, Temporal View

Data Streaming Applications

What is HADOOP/How Does it Work

Dremmel and Spanner

Business Drivers of High Volume

Half-Day Hadoop Demo/Overview

Machine Learning

Cognitive Processing

HDFS / Map Reduce / Latin / Pig Latin

Complex Event Processing (CEP)

Streaming Analytic Query (CQL)

Distributed Servers (Amazon EC2)

Semantic Processing (OWLIM)

Document Oriented Databases

Hybrid Architectures

Workflow Engines (OOZIE)

Workflow Balancing / Scalability

Distributed Processing (Map/Reduce)

Distributed Storage-Amazon S3)

Distributed File Systems (DFS)

SCRIBE and Logging Vehicles

Streaming Data Collection (Flume)

Columnar Databases (HBASE)

Linking Relational Database (e.g.Sqoop)

Building Unstructured Databases

Machine Learning Library(Mahout)

Clustering and Classification

NoSQL Database (e.g. Mongo)

 CouchDB, VoltDB, ZooKeeper 

Graph Databases and Visualization

Role of Data Modeling

Taxonomies and Ontologies

ETL: Unstructured/Structured

Metadata Sharing/Integration

Cassandra, Redis,  HBase

Innovative Data Integration

Smart Sampling / Data Mining

Fortune 500 Typical Applications

Big Data Lifecycle

Best Practices / Best Technologies

Workload Driven Design

Practical Considerations

Future Trends & Technologies

Best of Breed Tools & Techniques

Glossary of  BIG DATA TERMS

Future Trends & Technologies

Best of Breed Tools & Techniques

Integration with Traditional Data

White House Research Program

Forrester Wave Product Evaluation

  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
 Machine Learning, Cognitive Computing and Special Topics for the Data Scientist and Data Architect
  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 is 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
  Case Studies - Realizing Incredible Potential for Totally New Applications 

                                     SEMINAR ABSTRACT AND BIOGRAPHY 

Since the dawn of time up until 2003 mankind has created 2 exabytes of data, but today at least that much data is created each and every day. This means that standard traditional databases and tools cannot process the huge volumes of data, nor can they discern and separate the “High Value” from the “Low Value” data in order to support analytical insights.  David Menninger of EMC says "we used to ask whether we could afford to store we ask whether we can afford to throw it away ". Five years ago, a scalable relational database cost $100k per terabyte and $20k per year maintenance, but today you can store the same amount of information for $1200 per year.  It is no longer a technology decision but an economic one as the technical capabilities have progressed light years ahead in a relatively short amount of time. 
        The world of Data Warehouse has been evolving rapidly over the last three years into an ecosystem that is architected with traditional data, Big Data, real time data, semantic interfaces, complex algorithms, new infrastructures and serves the analytical needs of users including mobile platforms. This seminar will be a two-day interactive session on how to understand the impact of Big Data on Data Warehousing, Data Analytics, and Data Architecture. Does every enterprise need to adopt to the new evolutions of the Data Warehouse? Do the new components of the Data Warehouse provide real additional insights that can be harnessed to enable  transformations in the enterprise?  Does ETL have a future?  How does one build new analytical platforms? Who is a data scientist and what role should that person play in your architecture?
         According to James Kobielus, IBM's Big Data Evangelist and senior advisor to Data Management Forum, today's BIG DATA Developers must wrangle with a plethora of SQL-Like languages for big data access including HiveSQL, Cassandra QL, JAQL, SQOOP, Sparkll, Shark and DrQL.  How do you navigate across the myriad of products and available tools? How can the Forrester Wave Vendor Ranking and Evaluation Criteria be used to study and select what is best for your organization's needs?  What types of applications are typically being implemented?
         According to Dr. Ralph Kimball, "Data Warehousing has been demonstrating the value of data-driven insights for at least 20 years, ...but recently "many enterprises are looking seriously at unstructured data for the first time..." and it is going mainstream.   How do you effectively link unstructured data, semi-structured data and classical relational data together to support your information architecture in order to meet the business needs and goals of your organization?    
         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.       
         This two-day seminar will address these questions and many others related to BIG DATA.
 Practical approaches and techniques are contained throughout the presentation on the business, technical, and organizational aspects of  Big Data. Prior Knowledge is not required since this is an introduction but covers all aspects of BIG DATA. There will be a Half Day Discussion focused on HADOOP with Demo and Overview to acquaint you with the uses and capabilities of HADOOP. The seminar will also address the skill sets required to support BIG DATA applications and BIG DATA Architectures. Machine Learning and Cognitive Computing for the Data Scientist is also covered. The seminar format is very interactive with attendee  questions encouraged throughout the day, and attendee experiences shared as time permits. Delivering this seminar is unquestionably one of the world's most knowledgeable instructors and authors on this topic!


          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 the BIG Data and Analytics dataspace.
          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, Parallel Processing and Data Streaming with Big Data.
          Look for Krish Krishnan's articles on BIG DATA Analytics as Data Management Forum will be working with other publications during the 2016 time span including IBM's Data Magazine, Information Management Magazine (Source Media) and DataBase Trends and Applications Magazine, and the Big Data Quarterly (BDQ) as well as publishing many of these articles in the Data Management Forum eNewsletter.


          This seminar is intended for business and IT Management and Executives and Technical Staff  Interested in the Concepts and Usage of  BIG DATA  including:  Project Directors, Data Warehousing, Data Architecture or Database Management executives and staff,   Developers, Managers and Technicians responsible for planning, design and implementation, Data Stewards and Custodians, Architects, Metadata personnel, and anyone looking for a clear concise overview of data management and architecture as it relates to  BIG DATA tools, technologies, techniques and applications. This is a "One-of-a-Kind" Intensive Tutorial Assuming no pre-requisite knowledge of BIG DATA or Big Data Databases. 



Full-2 Day Seminar Includes:
Refreshment Breaks Continental Breakfast Seminar Workbook Meet Krish Krishnan

Discounts for Government / Academic, DAMA, Groups of 3 or More, Additional User Groups 
(see website for additional details)


                                       THE BIG DATA SEMINAR 2016 EVENT PRICING
Attendee Registration Options   Early Fee Standard Fee
  (Prior Mon Aug 1) (Mon Aug 1 and After)
Seminar (2 Full Days) 
(Sept 15 -Sept 16)
(Thursday - Friday)
Regular Fee: $1250 $1500
Member Discount: $1000 $1250
(Government / Academic, DAMA or Groups of 3 or More)    
CD ROM Only 
Regular Fee: $600 $600
Member Discount: $600 $600
(Government / Academic, DAMA or Groups of 3 or More)    



                       * Discounts Above for Members, Government, Academic and 3 or More Attendees

                             / Large Volume Discounts Available 5 or More

                               Cancellation Prior to August 1, 2016 in writing minus Cancellation Fee $50

                              (substitutions always permitted thru Seminar Day)

                       Bring Krish In-House for Class -- Leverage Your Education Dollars

                        -- For a Customized Class Email:      

DM- Forum- Poll
What is Your Biggest Problem regarding your Data Management project?
Too Labor Intensive
No Clear Direction
Tools / Interfaces
Keeping Data Up-To-Date
Business/IT Involvement - Lack of Interest / Usage
Business/IT Involvement - Supplying Information
Management Support/Funding

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