Course Outline


Overview of "Open Studio for Big Data" Features and Architecture

Setting up Open Studio for Big Data

Navigating the UI

Understanding Big Data Components and Connectors

Connecting to a Hadoop Cluster

Reading and Writing Data

Processing Data with Hive and MapReduce

Analyzing the Results

Improving the Quality of Big Data

Building a Big Data Pipeline

Managing Users, Groups, Roles, and Projects

Deploying Open Studio to Production

Monitoring Open Studio


Summary and Conclusion


  • An understanding of relational databases
  • An understanding of data warehousing
  • An understanding of ETL (Extract, Transform, Load) concepts


  • Business intelligence professionals
  • Database professionals
  • SQL Developers
  • ETL Developers
  • Solution architects
  • Data architects
  • Data warehousing professionals
  • System administrators and integrators
 28 Hours

Number of participants

Price per participant

Testimonials (5)

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