Hadoop is an Apache project (i.e. open source software) to store & process Big Data. Hadoop stores Big Data in a distributed & fault tolerant manner over commodity hardware. Afterwards, Hadoop tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System).
As organisations have realized the benefits of Big Data Analytics, so there is a huge demand for Big Data &Hadoop professionals. Companies are looking for Big data & Hadoop experts with the knowledge of Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop& Flume.
Need for Big Data
Distributed Cache (contd.)
Joins in MapReduce
Introduction to Pig
Components of Pig
Pig vs. SQL
Prerequisites to Set the Environment for Pig Latin
Lesson 2 - Hive HBase and Hadoop Ecosystem Components
Introduction to Mahout
Usage of Mahout
Key Features of Apache Ambari
DICS PITAMPURA Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 50% marks in the quiz. DICS PITAMPURA certification is well recognized in top MNCs .
The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Hiring managers are looking for certified Big Data Hadoop professionals. Our Big Data &Hadoop Certification Training helps you to grab this opportunity and accelerate your career. Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for:
For pursuing a career in Data Science, knowledge of Big Data, Apache Hadoop & Hadoop tools are necessary.