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     THE BIG DATA WAREHOUSING  SEMINAR 2015

     Featuring Mike Hermida

         One of the World's Most Knowledgeable Experts on Data Warehousing and Database Architecture

May 20 - 21 (Wed-Thur) 2015 - New York City - Hotel Pennsylvania
          (401 Seventh Avenue at 33rd Street near Herald Square  - Minutes from Times Square, Theatre District & Restaurant Row)


REGISTER HERE
          TUTORIAL on all the latest TECHNIQUES and TECHNOLOGIES - Analyzing, Architecting, 
       Designing and Integrating Traditional and Big Data

           Managing / Selecting DataBase Tools, Metadata, Data Analytics (No Prior Knowledge Required)

Learn All About BIG DATA WAREHOUSING and Typical Real-World 
Applications and Case Studies
 

w DATA WAREHOUSING ARCHITECTURE AND DESIGN

(Tutorial on Modeling, Database Design and Architecture Techniques with
New Section on BIG DATA and Data Warehousing)

Mike Hermida, President, K3MP Technologies
“Popular Seminar Leader and World Leading Expert in Data Warehouse Design”

 (Past Lead Architect on Space Shuttle and Spacelab Programs, and Past Information Manager at IBM )

 

“This is a Must-Hear for any Manager, Technical or Professional Person Who Maintains, Develops, Plans or is Contemplating Projects in the Data Warehousing or Big Data Management Arena”

“ Mike Hermida is One of the Most Popular, Entertaining and Informative Instructors in the Data Management World”  
http://www.dmforum.org/
    


      SEMINAR PROGRAM:

SEMINAR TOPICS COVERED

BIG DATA GLOSSARY Data Architecture Components  E-R  vs. Dimensional Modeling 
Corporate Data Warehouse vs. ODS Master Data Management Role Identifying Trusted Sources of Data
Enterprise Data Model Foundation Golden Source of Truth Data Distribution Management
Defining BIG DATA The Five V's of BIG DATA BIG DATA and Data Warehousing 
Snowflaking and STAR Schema Dealing With History Data  Handling Transactions / Activities
Data Governance & Stewardship Surrogate vs Business Keys Data Standards / Enforcement  
Data Integration / Data Sharing Data Transform Methods Data Quality Assessment   
Designing / Using Hierarchies Detail vs Summary Tables Data Element Evaluations
Data Access Considerations Integrating BIG DATA into DW  Source to Target Mapping Strategies
Working with Materialized Views Setting Up BI  Dashboards Competencies / Career Paths  
Alignment with Business Strategy Management Best Practices Future Trends & Technologies  

 

WHAT YOU WILL LEARN
What are Typical Applications and Use Cases for BIG DATA
When to build Independent Data Marts versus Central Data Warehouses
How to Decide on a Data Warehousing Framework in Your Organization
Does Your Organization Require an Operational Data Store (ODS)
Why E-R and Dimensional Modeling Can Work Together
Interlocking STAR Schemas or Relational Design...Which Is For You
What Design Techniques Maximize Efficiency in Your Warehouse
How to Separate Data Transform  and  Staging From Presentation
Where to Draw the Line Between Detailed and Summarized Tables
How to Measure Data Quality and Its Impact on the Warehouse
What is the Best Method for Designing and  Presenting Metadata
How to Build Resilient Databases  that Gracefully Allow Change
What Impact Will BIG DATA Have on Data Warehousing Architecture
What are the BIG DATA Considerations for Data Management Best Practices
How to Integrate BIG DATA and Traditional Data into Your Data Architecture
Defining Big Data – What Is It and How Best To Utilize It
The Major Architectural Components of BIG Data – How They Fit Together
Why so many Versions of HADOOP: Apache, IBM, Oracle, Google, Amazon, etc.
White House Program on Science and Technology: The Big Data Initiative
Data Modeling, Design and Data Governance -- What Changes in Big Data

SEMINAR ABSTRACT AND BIOGRAPHY

       Data Warehousing has taken hold throughout the business world and  is providing great insight into business performance, and timely information to allow decision makers to enhance this performance. There are similarities between designing databases for operational systems and data warehouses, but there are also significant differences. Organizations have skilled technology personnel that have been modeling data and building databases for years in support of the business. The break-throughs  in BIG DATA Databases and Computing  have only increased the potential for challenges ahead. How can  the current skills of these technologists be leveraged to produce an effective data warehouse? What are the differences between data modeling for a production environment vs. a data warehousing environment? How should historical data be maintained in the data warehouse? What role do ER models and dimensional models play in data warehouse development? Are snowflake schemas appropriate? What database design options facilitate end user access? What is the role of BIG DATA in Data Warehousing and Data Management?

Does Data Modeling, Database Design, ETL, or Data Governance differ when in a Big Data Environment?

     This one day seminar will address these questions and others related to designing databases for your data warehouse.   Seminar topics include:

•              Modeling Business Data for the Warehouse

•              Evaluating the Quality of the Data

•              Preparing the Data for the Warehouse

•              Designing the Data Staging Area

•              Maintaining Historical Data

•              Star Schema Design (The Kimball Technique)

•              Summarizing  the Data

•              Designing the Database with the End User In Mind

     This tutorial highlights all aspects of  Data Warehousing and Data Marts from Architecture, Design,  Data Modeling to Warehouse Management Roles and Responsibilities, Data Accessing and  Reporting. Additional Topics considered include:

1.             Data Warehousing Strategy supporting the Business Vision

2.             Requirements Gathering and Gap Analysis

3.             Information Architecture

4.             Source to Target Mapping Strategies

5.             Dealing with High Volume Data Warehousing

6.             Managing Sub-Type/Super-Types and Hierarchies

7.             Data Quality Issues and Data Element Evaluations

8.             Identifying Trusted Sources of Information

9.             Managing and Controlling Supporting MetaData

10.          Integration Schemes and Extract / Transform / Load Methods

11.          How to Integrate Big Data Applications into Your Data Architecture

12.          What are typical BIG DATA applications, Use-Cases developed  or Business Problems solved

13.          What is the Federal Government's BIG DATA Initiative co-led by NSF and NIH

      Practical approaches and techniques are contained throughout the presentation on the business, technical, and organizational aspects of data warehousing.  The seminar format is very interactive with attendee questions encouraged throughout the day, and attendee experiences shared as time permits. No Prior Knowledge of

Big Data nor Data Warehousing is required to benefit from this intensive "one of a kind" tutorial.

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 DataWarehousing architecture and guidelines. BIG DATA aspects of the Data Warehouse are described and anyone looking for help on How the Big Data aspects of the Data Architecture integrate with Traditional Data should attend this seminar.

ABOUT MIKE HERMIDA

      Mike Hermida held various technical and management positions during a sixteen-year career with IBM . He designed and developed operating systems and access methods for the nation’s en-route air traffic control system and ground-based Space Shuttle programs, and was a lead architect for the Spacelab’s command and control system. He was also a technical member of the field test team for the rollout of  IBM ’s DB2 database management system. Within IBM he managed a staff responsible for the development of  tools and utilities to enhance the DB2 development environment, and also managed a Data Resource Management (DRM) department of data modelers, DBAs, and performance analysts supporting relational and other database systems.

      On leaving IBM , Mike, with a partner, built and subsequently sold a successful consulting and education firm specializing in relational database and applications design and development. Aside from being the firm’s Chief Technology Officer, he was personally responsible for providing technical and management consulting services to key corporate clients. He started  the Knauer DB2 User Group in New York City that grew to over one thousand members, and developed and implemented a set of DB2 value added services to support a national DB2 practice.

      Mike is currently the President of K3MP Technologies, a consulting firm that specializes in information architecture,  relational database design and implementation, data warehousing and  business intelligence. He spends much of his time developing information architectures for his client base and assessing database systems and data warehouses. Mike has developed and taught numerous seminars and classes and lectured extensively to professional groups both nationally and internationally on data and database management topics, data warehousing, and business intelligence. He is an internationally acclaimed  lecturer and instructor.


                   Two
Day Seminar Includes:

    Refreshment Breaks

Continental Breakfast

  Seminar Workbook

  Meet Mike Hermida

     Discounts for Government / Academic, DAMA, Groups of 3 or More, Additional User Groups

Large Group Discount for 5 or More: Email registration@DMForum.org

 

PRICING FOR SEMINAR:

             THE BIG DATA WAREHOUSE SEMINAR 2015 EVENT PRICING
Attendee Registration Options   Early Fee Standard Fee
  (before April 15) (April 15 & after)
Seminar (2 Full Days) 
(May 20 - 21, 2015)
(Wednesday - Thursday)
Regular Fee: $1250 $1500
Member Discount: $1000 $1250
(Government / Academic, DAMA or Groups of 3 or More)    
Non-Attendee 
CD ROM Only 
(Email: Registration@DMForum.org)
Regular Fee: $400 $400
Member Discount: $400 $400
(Government / Academic, DAMA or Groups of 3 or More)    

                     
   Note: Cancellation Prior April 15, 2015 in writing minus
Cancellation Fee $50
(substitutions always permitted thru May 21)

                                 Large volume Discount for Groups of 5 or More – Email registration@dmforum.org

 

 

 
 
 
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