Introduction to Big Data Course Training in Chennai Simplilearn's Big Data Hadoop training in Chennai helps you master Big Data and Hadoop Ecosystem tools such as HDFS, YARN, Map Reduce, Hive, Impala, Pig, HBase, Spark, Oozie, Flume, Sqoop, Hadoop Frameworks, and more concepts of Big Data processing Life cycle. Throughout this instructor-led Hadoop training in Chennai, you will be working on real-time projects in Retail, Social Media, Aviation, Tourism, and Finance domain using Simplilearn's Cloud Lab. This Big Data course also prepares you for Cloudera’s CCA175 Big Data certification. Cost: Starting from Rs. 18999/- only
Course objectives of Big Data Course Training in Chennai According to Forbes, Big Data & Hadoop Market is expected to reach $99.31B by 2022. This Big Data Hadoop certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop, Flume, and Kafka for data ingestion with our significant data training. You will master Spark and its core components, learn Spark’s architecture, and use the Spark cluster in real-world - Development, QA, and Production. With our Big Data Hadoop course, you will also use Spark SQL to convert RDDs to DataFrames and Load existing data into a DataFrame. As a part of the Big Data Hadoop course, you will be required to execute real-life, industry-based projects using Integrated Lab in the domains of Human Resource, Stock Exchange, BFSI, and Retail & Payments. This Big Data Hadoop training course will also prepare you for the Cloudera CCA175 significant Big Data certification exam. Skills you will learn with Big Data Course Training in Chennai You will learn to understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts Ingest data using Sqoop and Flume
Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning Understand different types of file formats
Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution *Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
Gain a working knowledge of Pig and its components Do functional programming in Spark, and implement and build Spark applications
Understand resilient distribution datasets (RDD) in detail Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
Understand the common use cases of Spark and various interactive algorithms
Learn Spark SQL, creating, transforming, and querying data frames Prepare for Cloudera CCA175 Big Data certification.