Apache Spark - Advanced
Updated on Dec, 2023
Language - English
Duration -5.5 hours
Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis, or TCP sockets, and can be processed using complex algorithms expressed with high-level functions like map, reduce, join and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards.
The training will help you learn about
- Introduction to Spark streaming
- How to create Dstreams and Windowed Dstreams
- How to create Checkpoint Directory
- Creating Twitter Application
- Connecting To twitter Using Spark
- Students/Professionals Interested in learning about Spark Streaming
- Data Engineers
- Software Engineers
- IT operations
- Technical managers
What are the prerequisites for this course?
- Basic computer knowledge
- Basic understanding of Java/Scala/Python
- Knowledge of Mapreduce paradigm
Check out the detailed breakdown of what’s inside the course
- Introduction to Connecting to Twitter Using Spark 08:02 08:02
- Flowchart of Spark 06:07 06:07
Corporate Bridge Consultancy Private Limited
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