Big Data Training & Placement Course in Sydney
It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics with Apache Spark. This Cloudera Hadoop & Spark training will prepare you to clear Cloudera CCA 175 big data certification.
- There is no pre-requisite to take this Big data training and to master Hadoop. But basics of UNIX, SQL and java would be good to learn big data hadoop. At Rexorsoft, we provide complimentary unix and Java course with our Big Data certification training to brush-up the required skills so that you are good on you Hadoop learning path.
- Programming Developers and System Administrators
- Experienced working professionals , Project managers
- Big DataHadoop Developers eager to learn other verticals like Testing, Analytics, Administration
- Mainframe Professionals, Architects & Testing Professionals
- Business Intelligence, Data warehousing and Analytics Professionals
- Graduates, undergraduates eager to learn Big Data can take this Big Data Hadoop Certification online training
Yes, we offer single course also.
We would offer custom courses also based on the student requirement.
Once registered for the training sessions, the company has right to deduct the fee to cover the costs of demo sessions, administrative costs, Training Expenses and server usage as per the instructions below, if the consultant wish to discontinue from the course due to any reason.
Rexorsoft has right to deduct anywhere in between $100 to $300, if the consultant has just registered for the training.
If the Consultant wants the refund of money after attending a minimum of 3 sessions, the company has right to deduct either 50% of the training fee or $700, whichever is higher.
If the Consultant wants the refund of money after attending a minimum of 3 sessions, there will not be any refund in such case.
Basic knowledge of any programming language will be good.
Atlanta, Melbourne, Chicago, Austin, San Francisco, London, Toronto, New York, Baltimore, Bay Area, Sydney, Dubai, Boston, Calgary, Singapore, Chicago, Cincinnati, Cleveland, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Inland Empire, Kansas City, Los Angeles, Miami, Montreal, New Jersey, New York, Orlando, Philadelphia, Phoenix, Pittsburg, Portland, Richmond, Sacramento, San Antonio, San Diego, Seattle, St Louis, Tampa, Toledo, Vancouver, Washington, Winnipeg
Hadoop is a programming framework based on Java that offers a distributed file system and helps organizations process big data sets.We are experts in providing the online software training and certification for the professionals.
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Introduction to Hadoop and its Ecosystem, Map Reduce and HDFS
Big Data, Factors constituting Big Data What is Hadoop? Overview of Hadoop Ecosystem Map Reduce -Concepts of Map, Reduce, Ordering, Concurrency,Shuffle, Reducing, Concurrency Hadoop Distributed File System (HDFS) Concepts and its Importance Deep Dive in Map Reduce – Execution Framework, Partitioner,Combiner, Data Types, Key pairs HDFS Deep Dive – Architecture, Data Replication, Name Node,Data Node, Data Flow Parallel Copying with DISTCP, Hadoop Archives
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Assignment – 1
Hands on Exercises
Installing Hadoop in Pseudo Distributed Mode, Understanding Important configuration files, their Properties and Demon Threads Accessing HDFS from Command Line Map Reduce – Basic Exercises Understanding Hadoop Eco-system Introduction to Sqoop, use cases and Installation Introduction to Hive, use cases and Installation Introduction to Pig, use cases and Installation Introduction to Oozie, use cases and Installation Introduction to Flume, use cases and Installation Introduction to Yarn
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Assignment -2 and 3
Mini Project – Importing Mysql Data using Sqoop and Querying it using Hive
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Module 3 – Deep Dive in Map Reduce and Yarn
How to develop Map Reduce Application, writing unit test Best Practices for developing and writing, Debugging Map Reduce applications Joining Data sets in Map Reduce Hadoop API’s Introduction to Hadoop Yarn Difference between Hadoop 1.0 and 2.0
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Module 3.1
Project 1- Hands on exercise – end to end PoC using Yarn or Hadoop 2. Real World Transactions handling of Bank Moving data using Sqoop to HDFS Incremental update of data to HDFS Running Map Reduce Program Running Hive queries for data analytics Project 2- Hands on exercise – end to end PoC using Yarn or Hadoop 2.0 Running Map Reduce Code for Movie Rating and finding their fans and average rating
Assignment -4 and 5Module 4 – Deep Dive in Pig
Introduction to Pig What Is Pig? Pig’s Features Pig Use Cases Interacting with Pig 2. Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Hands-On Exercise: Using Pig for ETL Processing 3. Processing Complex Data with Pig Complex/Nested Data Types Grouping Iterating Grouped Data Hands-On Exercise: Analyzing Data with Pig
Assignment – 6
Module 5 – Deep Dive in Hive
1. Introduction to Hive What Is Hive? Hive Schema and Data Storage Comparing Hive to Traditional Databases Hive vs. Pig Hive Use Cases Interacting with Hive
2.Relational Data Analysis with Hive
Hive Databases and Tables Basic HiveQL Syntax Data Types Joining Data Sets Common Built-in Functions Hands-On Exercise: Running Hive Queries on the Shell, Scripts,and Hue
3. Hive Data Management
Hive Data Formats Creating Databases and Hive-Managed Tables Loading Data into Hive Altering Databases and Tables Self-Managed Tables Simplifying Queries with Views Storing Query Results Controlling Access to Data Hands-On Exercise: Data Management with Hive
4. Hive OptimizationUnderstanding Query Performance Partitioning Bucketing Indexing DataAssignment – 7
Module 6 – Introduction to Hbase architecture
What is Hbase Where does it fits What is NOSQL
Assignment -8
Module 7 – Hadoop Cluster Setup and Running Map Reduce
Jobs Running Map Reduce Jobs on Cluster Other Tools used in DevOps,Docker
Assignment – 9, 10
Module 8 – Advance Mapreduce
Delving Deeper Into The Hadoop API More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce Graph Manipulation in Hadoop
Assignment – 11, 12
Module 9 – Job and certification support
Major Project, Hadoop Development, cloudera Certification Tips and Guidance and Mock Interview Preparation, Practical Development Tips and Techniques, certification preparation
Project Work
1. Project – Working with Map Reduce, Hive, Sqoop
Problem Statement – It describes that how to import mysql data using sqoop and querying it using hive and also describes that how to run the word count mapreduce job.- Development Tips and Techniques, certification preparation
2. Project – Hadoop Yarn Project – End to End PoC
Problem Statement – It includes: Import Movie data Append the data How to use sqoop commands to bring the data into the hdfs End to End flow of transaction data How to process the real word data or huge amount of data using map reduce program in terms of movie etc.Hue:
HUE.(Cloudera) Oozie Workflow (Action, Start, Action, End, Kill, Join and Fork),Schedulers, Coordinators and Bundles. Workflow to show how to schedule Sqoop Job, Hive, MR and PIG. Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour. Zoo Keeper
It was hands on and very extensive but useful course suggested by the Shimha. I got lots of valuable techniques related to real time. I am really happy with that decision my tutors were wonderful and I am really lucky that I could have a chance to be a part of Rexorsoft family. My instructor Goutham has hands on experience on AWS
Friendly and knowledgeable tutor – lots of patience happy to help us most of the time!!!.Really like that, class sizes are very small as it allows us to ask questions and go at our own pace. Very good value for money compared to other similar DEVOPS courses around.
The Rexorsoft support that came with the AWS training was really worth mentioning. I was awed when my every query got resolved in less than 24 hours. Hats off to Rexorsoft AWS course.