TDWI DC Seminar

Workshop: Big Data Implementation

May 2, 2018

Duration: Half Day Course

Prerequisite: None

Krish Krishnan


Ampcus Inc

Data-Driven Decisions

  • Data Value Chain.
  • Interrogating A Cross-Organizational Data Set.
  • Migration from silos to an integrated raw data landscape.

 Big Data Technological Landscape

  • Ecosystem Essentials:
    • Understanding technologies and vendors
    • Defining the value of distributed computing
    • Technology stacks.
    • Selection Criteria
  • Data Swamp, Data Lake and Data Hubs.

 The Intersection of Data Science and Big Data

  • Data Science Practice – Teams and Skills
  • Defining the Data Warehouse Goals for Data Science.
  • Artificial Intelligence and Machine Learning Intersects.
  • Monetizing Data.
  • Pitfalls of Big Data.
  • Challenges and Barriers.

 Big Data Resources and HR

  • Building an internal team for data science.
  • Hiring Data Science Team Members.
  • Data Science Teams Success Goals.

New Directions and Opportunities for Innovation

  • New business opportunities.
  • Leveraging Big Data.
  • Leadership development.
  • Innovation Lab: how to take a problem, solve it, and push that solution up within the organization.

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TDWI DC Seminar

MicroTek Training Center
1110 Vermont Avenue NW
Suite 700
Washington, DC 20005
April 30–May 2


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