Apache Spark is a lightning fast cluster computing designed for fast computation. Spark executes in memory data processing and runs much faster than Hadoop Map Reduce. Learners will get trained in-depth spark concepts with Scala programming and its components such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark Graphx.
- After completing the Apache Spark training, you will be able to:
- Understand Scala and its implementation
- Install Spark and implement Spark operations on Spark Shell
- Understand the role of Spark RDD
- Implement Spark applications on YARN (Hadoop)
- Learn Spark Streaming API
- Implement machine learning algorithms in Spark MLlib API
- Analyse Hive and Spark SQL architecture
- Understand Spark Graphx API and implement graph algorithms
- Professionals aspiring to work on Big Data Analytics.
- Spark Developers
- Data Scientist
Basic knowledge of big data, HDFS, any programming language like java, python, etc. but it is not mandatory.
- To pursue a lucrative career
- To pace up with growing enterprise adoption
- To make big money
Social Media, Ecommerce, Stock Exchange, Telecommunications, Oil & Gas, Government, Financial Services, Advertising, Public sector, Media and Entertainment, Healthcare and Life Sciences, Insurance, Manufacturing and Retail.