Big Data Engineering Certification Program Course Duration: 4 Months Module-I

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Introduction to Big Data and Hadoop HADOOP Framework Module-II Module-III ETL & Batch Processing with Hadoop Module-IV Functional Programming with Scala Module-V Big Data Analytics with Spark Module-VI Stream processing Frameworks Course Fee: Rs 49,999/- Capstone Project Module-VII Download as PDF Module-I: Introduction to Big Data and Hadoop Topics Introduction to Big Data & Big Data Analytics

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Challenges of Traditional Systems Distributed Systems and Introduction to Hadoop Module-II: HADOOP Framework Components of Hadoop Ecosystem
1. Data and Distributed Storage (HDFS)
2. Yarn Architecture
3. MapReduce Programming
4. Components of Pig

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Module-III: ETL & Batch Processing with Hadoop Topics 1) ETL & Data Warehousing
2) Data Ingestion using Sqoop and Flume
3) Apache Kafka Architechture
4) Apache Hive Architecture, Interfaces, Hive Metastore, Dynamic Partitioning
5) NoSQL Databases, Hbase Architecture, Data Model
6) Oozie- Workflow Scheduler for Hadoop

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Module-IV: Functional Programming with Scala Topics 1) Introduction to Scala
2) Programming with Scala
3) Inference Classes and Collections

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Module-V: Big Data Analytics with Spark Topics 1) Introduction to Spark
2) Hadoop Ecosystem vs Spark
3) Spark Core Processing RDD- RDD Operations, Debugging, Partitioning, Scheduling & Shuffling
4) Analytics using SparkSQL- Data pre-processing, Regression, Classification & Clustering
5) Spark Graphx Module-VI: Stream processing Frameworks

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1) Streaming Overview
2) Real Time Processing of Big Data
3) Spark Streaming
4) Structures Streaming Applications Module-VII: Capstone project Tools Covered Java, Hadoop, Sqoop, Flume, Hive, Hbase, Scala, Apache Spark

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