Applying Big Data Practices to AI

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Smart organizations use vast quantities of data to better understand their customers, track inventory, improve logistics and operational processes, and make better informed business decisions. Data is often stored in silos, hard to access data warehouses, or stuck in old systems that lack integration with the rest of the organization. This course shows you how to apply big data practices to AI to allow for better data management. This advanced level course is appropriate for more technical roles such as Data engineer or Network operations

What Will I Learn?

  • How does Big Data fit into the context of AI?
  • The 8 Vs of Big Data
  • Methods for distributed data analytics
  • AI and Big Data Analytics with Hadoop & Spark
  • Big Data infrastructure and AI
  • Big data engineering pipelines
  • Big Data management practices
  • Big data governance

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Data engineer
  • Network operations
  • Information technician
  • Data technician

Supported Learning Paths

  • DoD JAIC: Lead AI, Drive AI, Create AI, Embed AI
  • Edison DSF: Data Engineering & Management Professionals (DSP10-DSP16), Operations & Technical Support (DSP17-DSP19)

Learning Levels

  • DoD JAIC AI: Advanced Level
  • Edison Data Science Framework: Level 4-5
  • Category: Data Engineering & Management