Course Outline
Data Warehousing Concepts
- What is Data Ware House?
- Difference between OLTP and Data Ware Housing
- Data Acquisition
- Data Extraction
- Data Transformation.
- Data Loading
- Data Marts
- Dependent vs Independent data Mart
- Data Base design
ETL Testing Concepts:
- Introduction.
- Software development life cycle.
- Testing methodologies.
- ETL Testing Work Flow Process.
- ETL Testing Responsibilities in Data stage.
Big data Fundamentals
- Big Data and its role in the corporate world
- The phases of development of a Big Data strategy within a corporation
- Explain the rationale underlying a holistic approach to Big Data
- Components needed in a Big Data Platform
- Big data storage solution
- Limits of Traditional Technologies
- Overview of database types
NoSQL Databases
Hadoop
Map Reduce
Apache Spark
Testimonials (6)
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
Muy poco, se me dificulto mucho y mas por que entre desfasado, no tome los primeras sesiones.
Rolando García - OIT para México y Cuba
Course - Apache NiFi for Administrators
La exposicion del maestro
SANDRA RAMIREZ - Organización Internacional del Trabajo
Course - Apache NiFi for Developers
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution