Big Data Analytics using Hadoop
Take your first step towards a new career in the field of Big Data. With our Big Data analytics certification course, learn how to drive better business decisions.
Ask us everything about the program
Ask us everything about the program
- Certification73% of organizations have already invested or plan to invest in big data. An industry-wide recognised certificate in Big Data Analytics using Hadoop by Manipal ProLearn will make you eligible for jobs in the Big Data industry.
- Job OpportunitiesMcKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts. After completing the big data analytics using Hadoop online training, you’ll be able to find job opportunities as a big data engineer, data scientist, or a data analyst.
- Who Should AttendBeginners in analytics domain /engineering graduates /non-engineering graduates /Big Data analytics aspirants
- Salary PackagesThe average salary for an entry-level Big Data engineer is around ₹5 lakhs per annum. An experienced Big Data engineer can earn up to ₹30 lakhs per annum.
- Expert FacultyThe Big Data certification course is taught by some of the most eminent big data experts and analysts who have over 16 years of experience working for companies like Microsoft, HP and more.
73% of organizations have already invested or plan to invest in big data. An industry-wide recognised certificate in Big Data Analytics using Hadoop by Manipal ProLearn will make you eligible for jobs in the Big Data industry.
McKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts. After completing the big data analytics using Hadoop online training, you’ll be able to find job opportunities as a big data engineer, data scientist, or a data analyst.
Who Should Attend
Beginners in analytics domain /engineering graduates /non-engineering graduates /Big Data analytics aspirants
The average salary for an entry-level Big Data engineer is around ₹5 lakhs per annum. An experienced Big Data engineer can earn up to ₹30 lakhs per annum.
The Big Data certification course is taught by some of the most eminent big data experts and analysts who have over 16 years of experience working for companies like Microsoft, HP and more.
Are you interested in increasing your knowledge in the Big Data landscape and becoming a certified Big Data professional? Most modern businesses now have access to massive amounts of data which they are extensively using to guide their decision-making process. And Hadoop, one of the most popular open-source Big Data framework has made big data analysis easier and more accessible - increasing its potential to transform the world!
Manipal ProLearn’s course in Big Data Analytics using Hadoop will help you to understand the A to Z of Big Data and Hadoop analytics. You’ll also be able to go into the depth of other advanced Big Data technologies such as SPARK, Storm, and Kafka etc. A complete understanding of these technologies would enable you to work as a Big Data engineer and explore the world of analytics & data sciences
What skills you learn
After completing the Big Data Analytics using Hadoop online training, you’ll be considered as a strong and competent Big Data engineer. The big data analytics with Hadoop course will help you to:
- Understand what is Big Data and the sources of Big Data.
- Appreciate the need for a platform like Hadoop.
- Overview of the technological landscape of Big Data.
- Demonstrate the ability to quickly perform ad-hoc analysis of Big Data (structured and unstructured).
- Overcome the limitations of standalone tools like Excel & R.
Who Should Attend this course
Beginners in the analytics domain
Big Data analytics aspirants
Beginners in the analytics domain
Big Data analytics aspirants
Learn from real-life case studies
Develop analytical and decision-making skills by examining real-life case studies.
Comprehensive Course Curriculum
Learn all the fundamentals of Big Data Analytics & Hadoop through videos, case studies, reading material, and real-time simulations.
Live Streaming Data
Learn how to process live streaming data from social media platforms like Facebook, Twitter, YouTube etc.
Request a Call Back
_ Course Curriculum
1.1 Introduction to Big Data and Hadoop
Challenges of Processing Big Data
History of Hadoop
Ecosystem of Hadoop
HDFS and MapReduce Paradigm
Big Data Technologies
Features of Hadoop
1.2 Hadoop Environment Setup
Hadoop Installation and Configuration
Hive Installation and Configuration
Pig Installation and Configuration
Sqoop Installation and Configuration
Oozie Installation and Configuration
Flume Installation and Configuration
Hbase Installation and Configuration
Hue Installation and Configuration
1.3 HDFS Architecture
HDFS Configuration Files
Data Storage in HDFS
Blocks and Splits
Name Node – Demo
HDFS Data Storage – Demo
Reliability and Rack Awareness
Data Replication – Demo
Reliable Storage – Demo
Data Node – Demo
HDFS Clients – Demo
1.4 HDFS Commands
Basic HDFS Commands - Demo
Read Anatomy in HDFS
Write Anatomy in HDFS
Additional HDFS Commands - Demo
HDFS File System API
HDFS File System API - Demo
HDFS Permission Management
Permission Management – Demo
MapReduce 1 Architecture
MR and Traditional Approach
Introduction to YARN
2.1 MapReduce Programs
Executing a MapReduce Program - Demo
Datatypes and APIs
Mapper – Demo
MapReduce – Demo
Combiners – Demo
Partitioners – Demo
Debug logs & Printing in MR Jobs – Demo
Path Filters – Demo
Splits – Demo
Named Output – Demo Summary
Write MapReduce Keys and Values – Demo
Identity Mappers – Demo
Identity Reducers – Demo
Counters in Hadoop
MapReduce Counters – Demo
Input and Output Formats
About MR Unit
MR Unit – Demo
2.2 MapReduce and Job Execution
Map Task Execution
Sort and Shuffle
Reduce Task Execution
Job Failure – Demo
Staggering Job – Demo
2.3 Hadoop Serialization and Compression
Introduction - Serialization
Uses of Serialization
Introduction - Compression
Uses of Compression
2.4 Advanced MapReduce Programming
Customization of Input Format APIs
Input Format and Record Readers – Demo
Distributed Cache – Demo
Map Side Joins
Map Side Joins – Demo
Reduce Side Joins
Reduce Side Joins – Demo
Sequence File Format
Sequence File Creation – Demo
Sequence File with MapReduce -Demo
Hadoop Streaming – Demo
Configuring Development Environment using Eclipse – Demo
Running MapReduce Jobs – Demo
2.5 Apache Hive
Hive vs RDBMS
Hive Schema Model
Hive Integration with Hadoop
Hive Query Language
Transformations in Hive
Hive Database Creation – Demo
Hive Tables – Demo
Hive Queries - Demo
Advanced Hive Partitioning – Demo
Bucketing – Demo
Advanced Concepts – Demo
Manage an XML or JSON files – Demo
Use a predefined Serde – Demo
3.1 Apache Pig
MapReduce and Pig
Modes of Execution in Pig
Pig Datatypes and Operators
SQL vs Apache Pig
Loading Data in Pig – Demo
Pig Dialects – Demo
Transformations in Pig – Demo
Debugging in Pig – Demo
Other capabilities in Pig - Demo
3.2 Apache HBase
Categories of NoSQL Databases
Hbase vs RDBMS
Basic CRUD Operation
Basic CRUD Operation – Demo
Zookeeper – Demo
3.3 Apache Sqoop, Oozie and Hue
Introduction - Apache Sqoop
Working with Sqoop – Demo
Hive Integration – Demo
Hbase Integration – Demo
Sqoop Scripts - Demo
Introduction - Apache Oozie
Basic Workflow Setup
Types of Oozie Actions Introduction - Apache Hue Hue User Interface Working with Hive using Hue Working with Pig using Hue Monitoring an Oozie Job using Hu
Defining a Workflow
Run MapReduce with Oozie - Demo
Introduction - Apache Hue
Hue User Interface
Working with Hive using Hue
Working with Pig using Hue
Monitoring an Oozie Job using Hue
Apache Hue – Demo
Apache Flume Introduction
Flume Core Components
Apache Flume – Demo
Apache Spark and Storm Introduction
Spark Streaming Concepts
3.5 Hadoop Real-Time Deployment and Distribution
Introduction – Real-Time Deployment
Logical Deployment Overview
Physical Deployment Overview
Introduction - Big Data Software and Tools
Other Ecosystem Tools
_ Frequent Questions we get
Why should I take up a Manipal ProLearn course?
Manipal ProLearn, a part of Manipal Global Education Services, offers a variety of professional certification courses across Technology, Digital Marketing, Data Sciences, Project Management, and Finance domains.
Carrying forward the Manipal legacy of over six decades in education, Manipal ProLearn helps working professionals and students to enhance their skills and fast-track their careers. Manipal ProLearn has partnered with industry leaders like Google, Microsoft, AWS Educate, EY, Sandbox, Manipal Academy of Higher Education, and Chartered Institute of Management Accountants (CIMA) to provide quality courses that add to your skill set.
We have redefined learning in the professional certification program space with a wide range of course options taught by an expert faculty on an award-winning learning platform. Benchmarked against global certification standards of PMI, CIMA, PMBOK etc., our course content is designed and developed by industry experts. Not only are these certification courses good for skill enhancement, but with industry recognised certification, they are also a great value-add to one's resume. Over the last two years, more than 80,000 learners have advanced their careers with the help of our courses.
Do I have to clear any entrance (screening) test before taking up the course?
Currently, none of the courses has an entrance test. But some certifications might have their prerequisites which are mentioned on the respective course pages.
What type of support can I expect in terms of course material, assessment, evaluation, feedback, discussion forums, mentoring etc.?
Once you have enrolled in a course, you will receive a welcome e-mail and a telephonic call from our customer support team. The features offered as part of the course will be explained clearly by our representative and also will also be listed in the mail correspondence.
Besides, our Customer Support team is available between 8 AM to 8 PM every day to help students on any course related issues.
Will I be able to access the course material post-completion too?
The course material access will be active till the validity of your course which is 12 months from the date of your enrolment.
How will successful completion of the course improve my job prospects?
Manipal ProLearn gives learners an edge when it comes to employment opportunities. By partnering with industry leaders to provide quality courses, we add to your individual skill set and make you industry ready. Also, the constantly expanding list of top-end knowledge partners ensures that learners are exposed to the latest developments and trends across sectors.
What should I do if I face any issues?
In case you come across any issue, please write to us at firstname.lastname@example.org and we will be happy to assist you. For a quicker response, use your registered e-mail id to reach out to us. Our Helpdesk is also available at 1800-103-5941 (Toll-free within India) and +91-80-42515887 and it is operational between 10:00 AM and 7:00 PM IST (Monday through Saturday). All tickets will be addressed within 48 hours.
Do you have a refund policy if I am not satisfied with the course and want to withdraw? Is there a timeframe for the same?
All refund requests received by Manipal ProLearn are processed through the same gateway within 14 working days of receiving the request. For any exceptional cases where you have not received the refund amount, please write to us at email@example.com. We shall get back to you with an update on your refund request or valid reasons in case of rejections.
Didn’t find your question here? What would you like to know?
Ask a Question add_circle_outline
_Read up our trending blogs
Thu, 08/09/2018 - 17:00
The DNA of a Modern Product Manager: Reskilling for Product and Customer Success in the Digital Age
As breakthrough product innovation and customer experiences become the lynchpin of success in the...