Big Data and Hadoop Training in Hyderabad

The Apache Hadoop software library is a framework that allows distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines.Big data and Hadoop are the two kinds of the promising technologies that can analyze, curate, and manage the data.

Algorithm Class is one of the best Hadoop Online Training Institutes in Hyderabad and Big Data Online Training Institutes in Hyderabad. Big Data Training in Hyderabad on Hadoop and Big data provides knowledge and technical skills needed to become an efficient developer in Hadoop technology. We teach with live industry based applications.  

Algorithm Training Institute is one of the Best Hadoop Training Institutes in Hyderabad. Here the trainers are highly qualified with 15+ years of real-time IT experience. The Big Data Hadoop Training in Hyderabad consists of more programming rather than theory. 

Big Data Training in Hyderabad at Algorithm Class Training Institute covers topics from beginner level to advanced level. It is one of the Best Hadoop Training Institutes in Hyderabad.

Finally, by the end of Hadoop Course in Hyderabad, you can be confident with Big Data and Hadoop Tehnology. Due to our trainers, practical sessions, and 1-1 care we are better than Hadoop Training in Hyderabad GachibowliHadoop Training in KPHB, Hadoop Training Institutes in Hderabad KPHB, Big Data Hadoop Training in Kukatpally, Hadoop Training Institutes in Ameerpet, Big Data Training Institutes in Hyderabad


Duration: 45hrs

Fee: Rs 12000 (class room)              Rs 14000 (online)    400 USD (online USA)

Mode : Online  and Class Room

Course Content:

SNO topic
 1  Course Introduction
 2  Introduction to Big Data & Hadoop
 3  HDFS
 4  YARN
 5  Map Reduce
 6  Scoop
 7  Introduction to HIVE and Impala
 8  Working with HIVE
 9  Working with Impala
 10  Types of Data Formats
 11  Advanced HIVE Concepts & Data file partitioning
 12  Apache Flume
 13  Hbase
 14  Pig
 15  Basics of Apache Spark
 16  RDD’s in Spark
 17  Implementing Spark Applications
 18  Spark Parellel Processing
 19  RDD Optimization
 20  Spark Algorithm
 21  Spark SQL