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
Testimonials (5)
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution
Rafał - Nordea
Course - Apache Spark MLlib
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.
Firdous Hashim Ali - MOD A BLOCK
Course - Apache NiFi for Administrators
That I had it in the first place.
Peter Scales - CACI Ltd
Course - Apache NiFi for Developers
practice tasks