The Digital Universe is expected to reach 44 trillion gigabytes by 2020, we are churning out roughly 3 Quintilian bytes of data on daily basis.

Gyansetu’s Big Data Hadoop Certification will make you an expert in Big data Hadoop technology with strong command on HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain, AWS Cloud, Docker Kubernetes Overview for Deploying Big Data Applications.

Key Highlights

100% Placement Support
Free Course Repeat Till You Get Job
Mock Interview Sessions
1:1 Doubt Clearing Sessions
Flexible Schedules
Real-time Industry Projects

Placement Stats

stats
Maximum salary hike
100%
Average salary hike
50%

Our Alumni in Top Companies

Batches Timing for Big Data Hadoop Certification

Track Weekdays (Tue-Fri) Weekends (Sat-Sun) Fast Track
Course Duration 3-4 Months 4-5 Months 30 Days
Hours Per Day 1-2 Hours 2-3 Hours 5 Hours
Training Mode Classroom/Online Classroom/Online Classroom/Online

Big Data Hadoop Certification

Earn your Certificate after the completion of the course.

This certification helps you gain skills and knowledge to jump start journey towards becoming a successful Big Data Hadoop professional.

Post your Certificate on LinkedIn, Meta, Twitter and get recognition of the Hiring Managers from the top-notch companies.

Course Curriculum

Gyansetu’s certified course on Big Data Hadoop is intended to start from basics and move gradually towards advancement, to eventually gain working command on Big Data analytics. We understand Big Data can be a daunting course and hence Gyansetu have designed the course so that students can understand it easily.

Introduction to Big Data and Hadoop 9 Topics
  • What is Big Data?
  • Big Data Challenges
  • Limitations & Solutions of Big Data Architecture
  • Hadoop Ecosystem
  • Features of Hadoop
  • Hadoop 2.x Core Components
  • Hadoop Storage: HDFS (Hadoop Distributed File System)
  • Hadoop Processing: MapReduce Framework
  • Different Hadoop Distributions
Hadoop Architecture and HDFS 8 Topics
  • Hadoop 2.x Cluster Architecture
  • Federation and High Availability Architecture
  • Hadoop Clusters
  • Hadoop Cluster Modes
  • Hadoop Commands
  • Configuration Files
  • Single Node and Multi Node Cluster
  • Hadoop Administration
MapReduce Framework 14 Topics
  • Why MapReduce?
  • YARN Components and Architecture
  • YARN MapReduce Application Execution Flow
  • YARN Workflow
  • Structure of MapReduce Program
  • Input Splits, relation between Input Splits and HDFS Blocks
  • Combiner and Partitioner
  • Counters
  • Distributed Cache
  • MRUnit
  • Reduce and Join
  • Custom Input Format and Sequence Input Format
  • XML File Parsing using MapReduce
  • Implementation of MapReduce on a Dataset
  • Intro to Apache Pig
  • MapReduce vs Pig
  • Components of Apache Pig
  • Pig Execution
  • Datatypes and Data Models in Pig
  • Pig Latin Programs
  • Shell and Utility Commands
  • Pig UDF
  • Pig Streaming
  • Testing Pig Scripts
  • Intro to Apache Hive
  • Hive Vs Pig
  • Hive Architecture and Components
  • Hive Metastore
  • Limitations of Hive
  • Comparison of Hive with Traditional Database
  • Datatypes and Data Models in Hive
  • Hive Partition and Bucketing
  • Hive Tables (Managed Tables and External Tables)
  • Importing Data
  • Querying Data and Managing outputs
  • Hive Script and UDF
  • Hive QL: Joining Tables, Dynamic Partitioning
  • Custom MapReduce Scripts
  • Hive Indexes and Views
  • Query Optimizers
  • Hive Thrift Server
  • What is Apache HBase?
  • HBase vs RDBMS
  • HBase Components
  • HBase Architecture
  • Run Modes
  • HBase Configuration
  • Cluster Deployment
  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Hive Data Loading Techniques
  • HBase Bulk Loading
  • Getting and Inserting Data
  • HBase Filters
  • Zookeeper Introduction
  • Zookeeper Data Model
  • Zookeeper Service
  • What is Spark? Why Spark?
  • Spark Components
  • What is Scala? Why Scala?
  • SparkContext
  • SparkRDD
  • What is Oozie?
  • Components of Oozie
  • Oozie Workflow
  • Scheduling Jobs with Oozie Scheduler
  • Oozie Coordinator
  • Common commands in Oozie
  • Oozie Web Console
  • Oozie for MapReduce
  • Combining flow of MapReduce jobs
  • Hive in Oozie

Industry Ready Projects

Designed by Industry Experts
Get Real-World Experience
Customer Insight Application Integration Hadoop/Spark

Environment: Hadoop YARN, Spark Core, Spark Streaming, Spark SQL, Scala, Python, Kafka, Hive, Sqoop, Amazon AWS, Elastic Search, Impala, Cassandra, Tableau, Talend, Oozie, Jenkins, Cloudera, Oracle 12c, Linux.

Skills: Java, Scala, Python, SQL, PL/SQL, Pig Latin, HiveQL, Unix, Java Script, Shell Scripting, HDFS, YARN, MapReduce, Hive, Pig, Impala, Sqoop, Flume, Spark, Kafka, Zookeeper, and Oozie, Storm, Spark, Kafka, Yarn and Zookeeper, Spark Streaming, Spark SQL, Spark MLib, Spring RDDs, AWS(EC2&EMR).

Description: The primary objective of this project is to integrate Hadoop (Big Data) with the Relationship Care Application to leverage the raw/processed data that the big data platform owns. It will provide an enriched customer experience by delivering customer insights, profile information and customer journey.

Hadoop Multinodecluster & DATA Ingestion & Monitoring to HDFS

Involved in Clustering of machines through Hadoop fully distributed mode.
Use of PigLatin & Hive0.8.0 to simplified MapReduce Task. Administration, Managing and Monitoring 20 node each two Hadoop clusters, cluster tune, settings and cluster maintenance.

Developing parser and loader map reduce application to store and retrieve data from HDFS and store to Hbase and Installed & Configured Hadoop for storing and retrieving data.

clock-icon
300+
Hours of content
video
75+
Live sessions
hammer
12+
Tools and software

Skills you can add in your CV after this course

Tools Covered

pointer-girl
Who is this course for?
  • Software Developers
  • Aspiring Data Engineers
  • Data Analysts and Scientists
  • Database Professionals
  • Research Professionals and Academics
  • Career Changers

Career Assistance we offer

briefcase
Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

lock
Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

lock
Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

briefcase
Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

Our Learners Testimonials

Saskshi Goyal
If you want to get top-notch knowledge and placement, there is no better place than Gyansetu. This is where everyone should be. I joined a US based MNC Clear Water Analytics as Data Flow Engineer.
Yogita Saini
Gyansetu's practical learning approach has been instrumental in preparing for my interviews. Institute's focus on real-world practical applications of concepts has not only deepened my understanding but also equipped me with the confidence to tackle complex data challenges in my day-to-day work.
Yogesh Mishra
Gyansetu has the latest certified courses, very good team of trainers. Institute staff is very polite and cooperative. Good option if you are searching for an IT training institute in Gurgaon.
self assessment
Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

What are the prerequisites for taking up this Big Data Hadoop Certification training?

Anyone wanting to be efficient in working on Big Data can join this training. There is no such prerequisite to join this course, but knowing Java and SQL is a benefit.

Why should you do Big Data Hadoop Certification from Gyansetu?

Though there are many online courses available online but we at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the most important task. This is the reason we have our course curriculum designed and delivered by industry experts along with capstone industry ready projects which will drive your learning through real-time IT industry scenarios and help in clearing interviews.

How long is the course duration?

Total duration of the Big Data Hadoop course is 300 hours (150 Hours of live Instructor-Led learning and 150 hours of self-paced learning).

We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews are a learning experience of :-

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!!

Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of –

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.

We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students, so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of :-

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

Yes, a 1:1 faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you resolve all your queries before you start classes with us.

We understand the importance of every session. Session’s recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.

Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc., so that a student can get a good handle of these topics

We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.

We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people

Yes, we have batches available on weekends. We understand many students are in jobs and it’s difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors on +91-9999201478.

Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more about this on +91-9999201478.

You don’t need to pay anyone for software installation, our faculties will provide you with all the required software’s and will assist you in the complete installation process.

Our faculties will help you in resolving your queries during and after the course.

FAQs
Categories
Drop us a Query
+91-9999201478

Available 24x7 for your queries

Please enable JavaScript in your browser to complete this form.