Course Outline

Introduction

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

Troubleshooting

Summary and Conclusion

Requirements

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

Audience

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

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