Big Data

Hadoop Training in KPHB

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