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BIG DATA SEMINAR 2013 Featuring Krish Krishnan TDWI Instructor, Special Advisor to Bill Inmon This event is featured in the IBM DATA MAGAZINE !
(Click Here To Register)
Download Flyer
w June 14 (Friday), 2013 w New York City w Radisson Broadway w
(49 W 32nd Street at Broadway * Herald Square * Minutes from Times Square & Theatre District)
Theme: Best Practices in Emerging Technologies and Techniques: Strategic Directions for Your Organization Hear All About BIG DATA and Real-World Case Studies
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w BIG DATA: ARCHITECTING FOR BUSINESS INTELLIGENCE AND DATA WAREHOUSING IN YOUR ORGANIZATION w
w Krish Krishnan, President and CEO, Sixth Sense Advisors, Inc w
Co-Author with Bill Inmon: "Building the Unstructured Data Warehouse”,
Faculty Member, The Data Warehouse Institute (TDWI),
Chief Technology Officer of Forest Rim Technology, LLC,
“BIG DATA Evangelist and World Leading Expert, Popular Seminar Leader”)
“This is a Must-Hear One-Day Intensive Overview of the FutureWorld of BIG DATA and How to Utilize and Leverage it within Your Own Organization as Presented by one of the World’s Leading Experts” http://www.dmforum.org/ |
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SEMINAR TOPICS COVERED |
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Definition of Big Data Environment |
The Five V’s of Big Data (V5) |
The Future of ETL |
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Types of Big Data / Data Sources |
Topical, Social, Temporal View |
Data Streaming Applications |
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What is HADOOP/How Does it Work |
Dremmel and Spanner |
Business Drivers of High Volume |
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Distributed Servers (Amazon EC2) |
Semantic Processing (OWLIM) |
Document Oriented Databases |
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Distributed Processing (Map/Reduce) |
Distributed Storage-Amazon S3) |
Distributed File Systems |
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Linking Relational Database (e.g.Sqoop) |
Building Unstructured Databases |
Machine Learning Library(eg.Mahout) |
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Clustering and Classification |
NoSQL Database (e.g. Mongo) |
CouchDB, VoltDB, ZooKeeper |
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Graph Databases and Visualization |
Role of Data Modeling |
Taxonomies and Ontologies |
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ETL: Unstructured/Structured |
Metadata Sharing/Integration |
Casandra, Redis, HBase |
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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 |
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WHAT YOU WILL LEARN |
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Defining Big Data – What Is It and How Best To Utilize It |
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The Major Architectural Components of BIG Data – How They Fit Together |
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Big Data Technologies and How to Decide the Best for Your Organization |
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Linking Traditional Databases to the BIG DATA Environment |
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Data Management in Big Data Era: The Challenges and The Opportunities |
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Why so many Versions of HADOOP: Apache, IBM, Oracle, Google, Amazon, etc. |
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Implementing Moneyball Techniques to Leverage Big Data – The Role of Analytics |
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How to Architect Your Enterprise to Optimize Business Intelligence for BIG DATA |
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Why Globalization is Driving Integration and Massively Parallel Processing of Big Data |
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Best Practices For Managing Structured, Semi-Structured and Unstructured Big Data |
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Case Studies - Realizing Incredible Potential for Totally New Applications |
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SEMINAR ABSTRACT AND BIOGRAPHY
The world of Data Warehouse has been evolving rapidly over the last three years (since 2009) 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 and tutorial will be an all day interactive discussion on how to understand the impact of Big Data on Data Warehousing, is there a future for the Data Warehouse? 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 robust transformations in the enterprise? Does ETL have a future? Does the new world mandate “map-reduce” knowledge? How does one build new analytical platforms? Who is a data scientist?
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 one-day seminar will address these questions and others related to BIG DATA. Seminar topics include:
- Big Data – What it is? How do we Define It and Properly Use It? How does “the cloud” play a role?
• The impact of Big Data on the Enterprise Architecture • The NEW Data Warehouse • Preparing the Data Big Data - Acquisition – Hadoop / NoSQL OLTP – ETL Processes • Processing Big Data Big Data – Text Mining Techniques, Algorithms, PIG, MapReduce OLTP – ETL • Integration of Big Data Big Data – Sqoop, Metadata, Hive OLTP – ETL • Analytics - Mahout (apache machine learning library), SAS, R • Infrastructure to Support Big Data • Designing the “New Data Warehouse” • Information Security • Maintaining Historical Data • Analytics and Business Intelligence • Summarizing the Big Data • Visualization Techniques • Case Studies Social Media Integration Contracts Management Customer Relationship Management Health Records, Transportation Pharma. Retail Manufacturing, Finance, Securities, Communications • Additional Topics include: Business Case for New Data Warehouse Requirements Gathering and Gap Analysis Information Architecture Data Modeling Data Complexities Data Quality Issues / Data Governance
Practical approaches and techniques are contained throughout the presentation on the business, technical, and organizational aspects of Big Data. The seminar format is very interactive with attendee questions encouraged throughout the day, and attendee experiences shared as time permits.
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WHO SHOULD ATTEND
This seminar is intended for business and IT Management, Project Directors, Data Warehousing, Data Architecture or Database Management executives and staff, IT 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 guidelines relating to Data Warehousing. |
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About 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”, upon which Bill Inmon’s “Unstructured Data” Seminar is based. 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. |
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THE BIG DATA SEMINAR 2013 EVENT PRICING |
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Attendee Registration Options |
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Early Fee
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Standard Fee
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(before May 20)
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(May 20 & after)
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Seminar June 14 |
Regular Fee:
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$550
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$600
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Member Discount: (Government / Academic, DAMA or Groups of 3 or More)
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$500
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$550
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Non-Attendee CD ROM Only (Contains seminar handout file) Email: Registration@DMForum.org)
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Regular Fee:
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$200
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$200
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Member Discount: (Government / Academic, DAMA or Groups of 3 or More)
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$150
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$150
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Note: Free Cancellation Prior to May 1, 2013 in writing (substitutions always permitted thru June 24) Large volume Discount for Groups of 3 or More – Contact registration@dmforum.org
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REGISTRATION DETAILS:
Click here to register
- Call: (516)221-5560 or Email: registration@dmforum.org/
- To Download Seminar Flyer: http://www.dmforum.org/portal/SeminarFlyerNY2013.pdf
Sponsored by Data Management Forum in association with DAMA National Capital Region, and Media Sponsors: Information Management Magazine, Database Trends & Applications Magazine, DAMA International, Inmon Consulting, and various other supporting organizations.
Data Management Forum is a non-profit vendor independent user group dedicated to advancing the professions of Information Management
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