コース概要
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
要求
- 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
お客様の声 (4)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
コース - Data Vault: Building a Scalable Data Warehouse
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
コース - 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
コース - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
多くの実用的な例、同じ問題へのさまざまなアプローチ方法、そして現在のソリューションを改善するためのあまり知られていないトリックなど
Rafał - Nordea
コース - Apache Spark MLlib
Machine Translated