• Bangalore - 560076
  • 8904740434
  • learn@techieventures.in

Spark training institute in Bangalore

Description

Hadoop is parallel data processing framework that has traditionally been used to run map/reduce jobs. These are long running jobs that take minutes or hours to complete. Spark has designed to run on top of Hadoop and it is an alternative to the traditional batch map/reduce model that can be used for real-time stream data processing and fast interactive queries that finish within seconds. So, Hadoop supports both traditional map/reduce and Spark.

We should look at Hadoop as a general purpose Framework that supports multiple models and We should look at Spark as an alternative to Hadoop MapReduce rather than a replacement to Hadoop.

Duration

Not Mentioned

Career Option
  • SOFTWARE ENGINEERS
  • DATA ENGINEERS
  • ETL DEVELOPERS
  • ASPIRING STUDENTS
  • GRADUATES
Opportunies

Not Mentioned

Major Companies Using Spark
  • ebay
  • Hitachi
  • Solutions
  • Yahoo!
  • Nvidia
  • IBM
Course Content
Introduction to Spark
Getting Started
Programming with RDDs
Working with Key/Value Pairs
Loading and Saving Data
Advanced Spark Programming Concepts
Running Spark on a Cluster
Tuning and Debugging Spark
Linking with Spark SQL
Using Spark SQL in Applications
Spark SQL Performance
Spark Streaming
Multiple Sources and Cluster Sizing
24/7 Operation
Streaming UI
Performance Considerations
Garbage Collection and Memory Usage