Course Outline
Introduction:
- Introduction to the Developer tool
- Brief Overview of Big Data Management
- BDM 9.x & 10.x Architecture & Differences
- Big Data Basics Developer Tool Basics
- Reviewing the Developer interface
Developing Physical Data Objects:
- Introduction to the types of physical data objects
- Using relational connections
- Using flat file connections
- Synchronize a flat file data object
Viewing Data:
- Introduction to data views
- Troubleshooting configurations
- Reviewing logs
- Monitoring activities
Developing Mapping and Transformation:
- Mapping and transformation concepts
- Core transformations
- Developing and validating a mapping
- Using transformations in a mapping
Working with Dynamic Scheme and Mapping:
- Introduction to dynamic mapping concepts
- Developing and running a dynamic mapping
- Reviewing a mapping template
Parameters:
- Parameter concepts
- Using a parameter file
- Using a parameter set Workflow:
- Workflow concepts
- Creating a workflow
- Configuring a Workflow
Working with Applications:
- Application concepts
- Creating and deploying an application
- Stopping and redeploying an application
Mapping Monitoring and troubleshooting:
- Configuring and running a mapping in Native end
- Hadoop environments
- Execution Plans
- Monitor mappings
- Troubleshoot mappings
- Viewing mapping results
Hadoop Data Integration challenges and Performance Tuning:
- Describe challenges with executing mappings in Hadoop
- Big Data Management Performance Tuning
- Hive Environment Optimization
- Mapping Level Tuning
- DIS Level Tuning
- Cluster Level Tuning
- Hadoop environment and cluster tuning
Testimonials (3)
I thought he did a great job of tailoring the experience to the audience. This class is mostly designed to cover data analysis with HIVE, but me and my co-worker are doing HIVE administration with no real data analytics responsibilities.
ian reif - Franchise Tax Board
Course - Data Analysis with Hive/HiveQL
I genuinely enjoyed the many hands-on sessions.
Jacek Pieczątka
Course - Administrator Training for Apache Hadoop
practical things of doing, also theory was served good by Ajay