Become an expert in Hadoop by getting hands-on knowledge on MapReduce, Hadoop Architecture, Pig & Hive, Oozie, Flume and Apache workflow scheduler. Build familiarity with HBase, Zookeeper, and Sqoop concepts while working on industry-based use-cases and projects through Big Data Hadoop Developer Online Training Course.
Fundamentals of Hadoop and YARN and write applications using them
Setting up pseudo-node and multi-node clusters on Amazon EC2
Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
Set up different configurations of Hadoop cluster
Maintain and monitor Hadoop cluster by considering the optimal hardware and networking settings
Leverage Pig, Hive, Hbase, ZooKeeper, Sqoop, Flume, and other projects from the Apache Hadoop ecosystem
Hadoop testing applications using MRUnit and other automation tools
Practicing real-life projects using Hadoop and Apache Spark
Requirements
You don’t need prior knowledge of Apache Hadoop.
Description
|| About Big Data Hadoop Developer Training
Big Data Hadoop Developer Professional Online Training Program delivers the key concepts and expertise necessary to develop robust data processing applications using Apache Hadoop. The interactive sessions and demonstrations carried by an industry expert will help the aspirants in understanding all the features and programming skills easily. The Hadoop developer course focuses on the fundamentals and advanced topics of Hadoop, MapReduce, Hadoop Distributed File System (HDFC), Hadoop cluster, Pig, Hive, Hbase, ZooKeeper, Sqoop, and Flume. Big Data Analytics takes into account exabytes and petabytes of data and provides solutions to deal with the rapid flow of such huge amounts of data. BIT’s Hadoop developer training will help you master complete Hadoop development. You will trained in the domains of HDFS, MapReduce, working with various components of Hadoop like Pig, Hive, Sqoop, YARN and others. This training is in line with clearing the Hadoop component of CCA Spark and Hadoop Developer Certification (CCA175).
BIT’s Hadoop Developer Training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem. This Hadoop developer certification training is stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects. Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large. 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.
Course Content
Live Lecture
·Apache Hadoop Overview
·Data Processing
·Introduction to the Hands-On Exercises
·Practical Exercise
Live Lecture
·Apache Hadoop Cluster Components
·HDFS Architecture
·Using HDFS
·Practical Exercise
Live Lecture
·YARN Architecture
·Working With YARN
·Practical Exercise
Live Lecture
·What is Apache Spark?
·Starting the Spark Shell
·Using the Spark Shell
·Getting Started with Datasets and DataFrames
·DataFrame Operations
·Practical Exercise
Live Lecture
·Creating DataFrames from Data Sources
·Saving DataFrames to Data Sources
·DataFrame Schemas
·Eager and Lazy Execution
·Practical Exercise
Live Lecture
·Querying DataFrames Using Column Expressions
·Grouping and Aggregation Queries
·Joining DataFrames
·Practical Exercise
Live Lecture
·RDD Overview
·RDD Data Sources
·Creating and Saving RDDs
·RDD Operations
·Practical Exercise
Live Lecture
·Writing and Passing Transformation Functions
·Transformation Execution
·Converting Between RDDs and DataFrames
·Practical Exercise
Live Lecture
·Key-Value Pair RDDs
·Map-Reduce
·Other Pair RDD Operations
·Practical Exercise
Live Lecture
·Querying Tables in Spark Using SQL
·Querying Files and Views
·The Catalog API
·Practical Exercise
Live Lecture
·Datasets and DataFrames
·Creating Datasets
·Loading and Saving Datasets
·Dataset Operations
·Practical Exercise
Live Lecture
·Writing a Spark Application
·Building and Running an Application
·Application Deployment Mode
·The Spark Application Web UI
·Configuring Application Properties
·Practical Exercise
Live Lecture
·Review: Apache Spark on a Cluster
·RDD Partitions
·Example: Partitioning in Queries
·Stages and Tasks
·Job Execution Planning
·Example: Catalyst Execution Plan
·Example: RDD Execution Plan
·Practical Exercise
Live Lecture
·DataFrame and Dataset Persistence
·Persistence Storage Levels
·Viewing Persisted RDDs
·Practical Exercise
Live Lecture
·Common Apache Spark Use Cases
·Iterative Algorithms in Apache Spark
·Machine Learning
·Example: k-means
·Practical Exercise
Live Lecture
·Apache Spark Streaming Overview
·Creating Streaming DataFrames
·Transforming DataFrames
·Executing Streaming Queries
·Practical Exercise
Live Lecture
·Overview
·Receiving Kafka Messages
·Sending Kafka Messages
·Practical Exercise
Live Lecture
·Streaming Aggregation
·Joining Streaming DataFrames
·Conclusion
·Practical Exercise
Live Lecture
·What Is Apache Kafka?
·Apache Kafka Overview
·Scaling Apache Kafka
·Apache Kafka Cluster Architecture
·Apache Kafka Command Line Tools
·Practical Exercise
Fees
Offline Training @ Vadodara
Classroom Based Training
Practical Based Training
No Cost EMI Option
4500040000
Online Training preferred
Live Virtual Classroom Training
1:1 Doubt Resolution Sessions
Recorded Live Lectures*
Flexible Schedule
3500030000
Corporate Training
Customized Learning
Onsite Based Corporate Training
Online Corporate Training
Certified Corporate Training
Certification
Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
Upon the completion of the training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.
This course is designed to clear Cloudera Certification Exam: Hadoop Developer Certification (CCA175)
