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- 10 week duration
Big-data Spark Training
Learn Big Data Spark at Prestige Point, best institute for Spark Training in Indore.
- SPARK
- Introduction of Big Data
- Introduction to Spark
- Motivation for Spark
- Spark Vs Map Reduce Processing
- Architecture Of Spark
- Spark Shell Introduction
- Real time Examples of Spark
- MapReduce
- Why Map Reduce is essential in Hadoop?
- Processing Daemons of Hadoop
- Node Manager
- Resource Manager
- Job
- Task
- Keys and Values
- Mapreduce Flow
- Wordcount example
- Map abstraction
- Mapper
- Reduce abstraction
- Reducer
- Map only job
- Combiner
- Data locality
- Anatomy of MapReduce
- Hadoop Data types
- Input files
- Hdfs Blocks
- Input format
- Input split
- InputSplits and
- Records
- InputSplits and Blocks
- Record reader
- Partitioner
- Shuffling
- Sorting
- OutputFormat
- Resilient Distributed Dataset
- What is RDD and why it is important in Spark
- Transformation in RDD
- Actions in RDD
- Loading Data through RDD
- Saving Data
- Key-Value pair RDD
- Pair RDD operations
- Spark SQL
- Introduction to Spark SQL
- The SQL Context
- Hive Vs Spark SQL
- Spark SQL support for Text Files, Parquet and JSON files
- Data Frames
- Real Time examples of Spark SQL
- Spark Streaming
- Introduction to Spark Streaming
- Architecture of Spark Streaming
- Spark Streaming Vs Flume
- Introduction to Kafka
- Spark Streaming Integration with Kafka Overview
- Real Time examples of Spark Streaming & Kafka
- Spark Mllib
- GraphX
- Project:
- WordCount FIle analysis using Spark
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