Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP Course Overview
This course provides a comprehensive overview of Cloudera Streaming Analytics using Apache Flink and SQL Stream Builder on CDP. It is essential for data engineers, data analysts, and software developers seeking to harness real-time data processing and analytics. Participants will gain vital skills to drive insights and enhance decision-making in data-driven environments.
Course outline & what you'll learn
Overview of Cloudera Data Platform (CDP)
- Importance of real-time data processing
- Architecture and components of Apache Flink
- Data streams and data sets
- Flink APIs: DataStream and DataSet APIs
- SQL Stream Builder features and capabilities
- Differences between SQL Stream Builder and traditional SQL
- Installation and configuration of CDP
- Setting up Apache Flink in CDP
- Developing Flink applications using Java and Scala
- Windowing and event time processing
- Handling stateful and stateless operations
- Integrating with data sources (Kafka, HDFS, etc.)
- Data serialization formats (JSON, Avro, Parquet)
- Writing SQL queries for streaming data
- Joins, aggregations, and window functions in SQL Stream Builder
- Flink dashboard and metrics
- Best practices for performance tuning
- Real-world applications of streaming analytics
- Case studies demonstrating Flink and SQL Stream Builder
- Summary of key learnings
- Resources for further exploration in streaming analytics and Flink
Why train with Traincrest
This Cloudera course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.