- Overview of Big Data Technologies and its role in Analytics
- Big Data challenges & solutions
- Data Science vs Data Engineering
- Job Roles, Skills & Tools
EduPristine Big Data Hadoop classroom training program is specially designed to master the latest and core components of Hadoop like Map-reduce, HBASE, PIG, HIVE, SQOOP, Oozie with Hue and plus complementary session on Java Essentials for Hadoop, Python and Unix sessions.
90% of the data in the world today has been created in the last two years alone.
Big data Hadoop online training program not only prepare candidate with the vital concepts of Hadoop, but also provide the required work experience in Big Data and Hadoop via implementation of real time industry projects.Read more
Big data Hadoop Live Online Classes are being conducted using professional grade IT conferencing system from Citrix. The students can interact with the faculty in real-time during the class using chat and voice. The students will be required to install a light-weight IT application on their device which could be a laptop, desktop, tablet or a mobile. Citrix supports Windows, iOS operating system and recommends an internet speed of 1 MBPS at the user's end.
16 day online Training.
We will provide 2 data sets to work on real life projects.
3Hrs online interactive session on every 2nd & 4th Sunday of month for all alumni students
- New topics in Big data & Industrial Case studies will be covered.
- Access to Hadoop trends for a year.
- 4 classroom workshops in a year in 5 cities to cover important topics.
- Cities for workshop- Mumbai, Pune, Bangalore, Kolkata and Delhi only
Topic Wise study material in the form of Presentation and Case Studies
-PowerPoint Presentation covering all classes -Code files for each case study
-Recorded Videos of Live Instructor based Training
-Recorded Videos Covering all classes
-Quiz/Assignment with detailed answers and explanation
-Job Oriented Questions to prepare for Certification Exams
-Doubt solving forum to interact with faculty & fellow students
"Java Essentials for Hadoop" and UNIX session
Access to Course Material (Presentations) etc.
|Day 1||Introduction to Unix|
|Day 2 & 3||Introduction to Java|
|Day 4||Introduction to HDFS & Pseudo cluster environment|
|Day 5 & 6||Understanding Map-Reduce Basics, Types & Formats|
|Day 12||Live Project - 1|
|Day 14||Live Project - 2|
|Day 15||Spark - I|
|Day 16||Spark - II|
Big Data Hadoop classroom training designed by world’s leading data experts and prepare you for the Cloudera (CCA-175) preparation. 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.Read more
Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE and SQOOP to perform the easy and fast processing of huge data.
Hadoop conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value.
15 days Classroom (75 hours) + 4 days Online Training (12 Hours) (Java, Unix & Python)
We will provide 2 data sets to work on real live projects.
Topic Wise study material in the form of Presentation and Case Studies - PowerPoint Presentation covering all classes - Code files for each case study
- Recorded Videos of Live Instructor based Training
- Recorded Videos Covering all classes
- Quiz/Assignment with detailed answers and explanation
- Job Oriented Questions to prepare for Certification Exams
- Doubt solving forum to interact with faculty & fellow students
"Java Essentials for Hadoop", Python and UNIX session
24x7 Online Access to Course Materials.
Setting up Development Environment
Case Study: XYZ Telecom need to set up approprioate directory Structure along with permissions on various files on Linux file system
Case Study: Developing a simulator to generate mock data using Python
Case Study: Design and Develop Phone Book in Java
Case Study: Handling huge data set in HDFS to make it accessible to right user and remove non-functional requirements like backups, cost, high availability etc.
Case Study: Developing automation tool for HDFS file management
Case Study: Develop automation utility to migrate huge RDBMS warehouse implemented in MySQL to Hadoop cluster
Case Study: Processing 4G usage data of a Telecom Operator to find out potential customers for various promotional offers
Case Study: Process a structured data set to find some insights
Case Study: Perform ETL processing on Data Set to find some insights
Case Study: Build a model to predict production error/ failure (huge servers - applications/ software) with good speed by using computation power efficiently while considering processor challenges
Case Study: Build a model (using Python) to predict production error/ failure (huge servers - applications/ software) with good speed by using computation power efficiently while considering processor challenges
Case Study: Setting up Data processing pipeline to work as per schedule in Hadoop Eco System comprising of multiple components like sqoop job, hive scripts, pig scripts, spark jobs etc.
Case Study: Find out top 10 customers by expenditure, top 10 most buying brands, and monthly sales from data stored in Hbase which is in Key value pair
Project: ETL processing of retail logs
Project: Creating 360 degree view (past, present and future) of the customer for a retail company - avoiding repetition or re-keying of information, to view customer history, establishing context and initiating desired actions
Project: Twitter Sentiment Analytics - Collect and real time data (JSON format), and perform sentiment analysis on continuously flowing streaming data
Project: Machine Learning with TensorFlow - Build a solution which can recognize images on search words and can run on distributed computing like Hadoop/ Spark etc. for a photo storage company
Project: Developing a Chat-bot to offer an artificially intelligent customer help desk for an insurance company
Real Time Analytics, Unstructured Data Ingestion
An open source database that uses a document-oriented data model
Exam pattern, CV preparation & Imp topics
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The average salary for big data analytic professionals in the non-managerial role is
The Big Data course from EduPristine was quite awesome, as this Big Data Hadoop Training in Pune was very beneficial to groom my carrier ahead. This course will surely upgrade my carrier, in future. In EduPristine i found Faculty which was highly qualified, experienced and the study material which was provided by institute was really helpful. Support team was really at there work for us. Overall i found the best institute. Thanks EduPristine.Honnesh Kumar BE in Information Science
I had completed my Big Data Hadoop course from EduPristine. Following are the Pros. and Cons. of it. Pros.1. Good Study material but there is a scope of improvement. 2. Flexibility of Batch selection 3. Classroom as well as Webinar classes. 4. You can attend the any class even after completion of your Course.5. The only institute which provide Hadoop training.Sagar Kaplay Senior Engineer - Application Development at SunGard
This Big Data Hadoop course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals and IT freshers are the key beneficiaries of this course.
The prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training.