Hadoop-Spark with AWS

8,000.00 4,999.00

Hadoop is a software framework for storing and processing Big Data. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.

SKU: CFL-102 Category:


For Demo videos, Please Visit Our YouTube channel – Click4Learning


COURSE DESCRIPTION – Self Paced Learning with 40 hours of video

Prerequisites: Knowledge of Core Java, database concepts, basics of Linux. These are a must to go ahead with Big Data Hadoop Online Training.

Course Duration – 40 hours.

Hadoop is a software framework, For storing and processing Big Data. It is an open-source tool build on java platform. It primarily focuses on improved performance, In terms of data processing on clusters of commodity hardware.
Fundamentally, Hadoop comprises of multiple concepts like HDFS, Map-Reduce, HBase, PIG, HIVE, SQOOP and ZOOKEEPER. Hadoop is conceptually different from Relational databases and can process the high volume, high velocity and high varieties of data to generate value.

Click4learning provides the facility of Big Data Hadoop Online Training live at your comfortable timings.


To receive the certificate for this course, you’ll need to submit one of the projects for the course. After successful evaluation by the course advisor, and you’ll receive the certification for Big Data Hadoop Online Training.

Big Data Hadoop Online Training Course content:

Big Data Hadoop Overview:
  • Introduction to Hadoop
  • Difference between Parallel Computing and Distributed Computing
  • How to install Hadoop on your system
  • Installing Hadoop cluster on multiple machines
  • What are Daemons in Hadoop?
  • Introduction to the following:
    NameNode, DataNode, JobTracker, TaskTracker
  • Explore HDFS (Hadoop Distributed File System)
  • Exploring Apache HDFS web UI
  • Description of Namenode architecture (FS Image, Replica placement)
  • Exposure to Secondary Namenode architecture
  • And, what is Datanode architecture?
YARN ( Hadoop 2.x.x)
  • Defining the Basics of YARN ( Hadoop 2.x.x )
  • Major Differences between Hadoop 1 Vs Hadoop 2
  • Requirements for Hadoop 2 installation
  • Copying of data from local file system to HDFS
  • Executing Hadoop job on YARN
  • Exploring HDFS/YARN/Job history UI
  • Hands-On Exercise
Hadoop Administrative Tasks
  • Routine Administrative Procedures
  • Understanding of DFS admin and MR admin
  • Explanations on Block Scanner, HDFS Balancer
  • Descriptions of Health Check and Safe mode
  • Monitoring and Debugging on Hadoop cluster
  • Name node backups and recovery
  • Commissioning/decommissioning of Datanode
  • Introducing the ACL (Access Control List)
  • Why do we Upgrade Hadoop
MapReduce Architecture
  • Explore JobTracker/TaskTracker
  • How to run a Map-Reduce job
  • Exploring Mapper/Reducer/Combiner
  • Parts of Shuffle: Sort and Partition
  • Major Input/output formats
  • What is the Apache MapReduce web UI
Hadoop Developer Tasks
  • How is the Hadoop Eclipse integration done?
  • Reading and writing data using Java
  • How to write a Map – Reduce Job
  • In detail explanation of Mapper/Reducer
  • How is Searching done in HDFS?
  • Sorting varieties in HDFS
  • HBase introduction
  • Installation of HBase on your system
  • Exploring HBase Master & region servers
  • A description of Zookeeper
  • More on Column Families and Qualifiers
  • Description and usage of Basic HBase shell commands
  • Hands-On Exercise
  • Basics of Hive
  • Differenced of HBase vs Hive
  • Installation of Hive on your system
  • Inputs on HQL (Hive Query language )
  • Basic Hive commands
  • Hands-On Exercise
  • Pig Introduction
  • Installation of Pig on your system
  • Basic Pig commands
  • Hands-On Exercise
  • Introduction to Sqoop
  • Installation of Sqoop on your system
  • Import/Export data from RDBMS to HDFS
  • Data Import/Export from RDBMS to HBase
  • Importing/Exporting data from RDBMS to Hive
  • Hands-On Exercise
  • Spark – Introduction
  • Hadoop vs Spark
  • Installation of Spark on your system
  • Introduction to Scala(Scalable programming language )
  • Basic Scala commands
  • Hands-On Exercise
AWS with Spark
  • AWS Architecture
  • Redshift, EMR, and EC2 functionalities
  • How to minimize AWS cost
  • Submit a sample jar of AWS Cluster
  • Create a cluster using EMR
  • Read/write data from Redshift
Sample Spark Project
  • End to end project Overview
  • Live project scenarios
  • Project implementation steps
  • Implement of Spark SQL Mini Project
  • Kafka, Cassandra, Spark Streaming Project
  • Pull Twitter data and analyze the data

Click4learning provides online training for other courses as well. Many of the other courses required for better positions at the same organization or better ones. We provide training on major courses in Oracle also. Such as Oracle vcp training, Oracle fusion training, Data science, and Python. Click4Learning is highly experienced in providing IT education. Our trainers are highly skilled industry experts. With extensive experience on the subject. Hence, our trainers could provide real-time scenarios with appropriate examples. To know more, visit our homepage –