OUR TRAINING COURSES

Big Data Developer

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20,000.00

Our Big data developer Program is designed by the industry experts. These skills fulfil the requirements of jobs related to Big data. Now a days there are huge requirements of Big data professionals in the industry.

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14 Sessions
42 Hours



Skills you will master

Big Data Hadoop ecosystem
HDFS Architecture
Map-Reduce
PIG
HIVE
Hbase
Sqoop
Flume
Oozie
Yarn
NoSQL

UPCOMING BATCHES

Mob : +91-9810600764
Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
Email : info@palin.co.in

20,000.00

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About The Program

Big data developer Program is designed by the industry experts. These skills fulfil the requirements of jobs related to Big data. Now a days there are huge requirements of Big data professionals in the industry. This program gives you high quality content to store and process  the raw data. Training includes Industry specific data as well as assignments, case study, project.

During the training participants will be going through

 

After the completion of the course you will be able to crack the interviews with most of the renowned organizations like Airtel, IBM, UHG, Amazon, Flipkart and many more.

Career Advisor
Vinit Kumar, Consultant
Palin Analytics delivers real world relevance with activities and assignments that helps students build critical thinking and analytic skills that will transfer to other courses and professional life.
Program Description
Big data developer program is designed as per the needs of developers in the industry who are good at programming specially in Java or python to build methods to process large amount of data over hadoop platform. It includes HDFS architecture and mapreduce basic and advance along with hive queries to perform ETL functions over HDFS along with all major hadoop constituents like scoop, impala, pig, zookeeper etc.
Curriculum
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   Session1 : Big Data and Hadoop Ecosystem Introduction

What is Big Data, Limitations of Big Data, Why Hadoop, Problems with Traditional Systems, Core Hadoop Components, Introduction to Hadoop Ecosystem

   Session2 : Hadoop Distributed File System

HDFS Features & Design Goals, HDFS Operation Principle, Data Locality, Rack Awareness, Writing and Reading Files, NameNode Memory Considerations, Secondary NameNode – FSImage & EditLog, Data Node – Heartbeats & Block Report

   Session3 : Getting Started with Hadoop & HDFS Lab1

Setting up VM Hadoop Environment, Using the NameNode WebUI, Using the Hadoop FileShell, Hadoop FileShell Commands, HDFS Federation & HA, HDFS 1.0 and 2.0

   Session4 : MapReduce v1 -- Lab2

What is MapReduce?, MapReduce Concepts, JobTracker and TaskTracker, Hadoop MapReduce example, Steps of Hadoop MapReduce, MapReduce Framework, Basics of MapReduce Programming, Using the MapReduce Web UI

   Session5 : HBase - Lab3

HBase Introduction & History, Who uses HBase & when to Use, HBase Data Model & Families, HBase Components, Row Distribution b/w Region Server, HBase Master

   Session6 : Planning the Hadoop Cluster & Cloudera Manager

General Planning Considerations, Choosing the Right Hardware, Network Considerations, Configuring Nodes, Cloudera Manager Features, Cloudera Enterprise Pictorial View

   Session7 : Deploying a Multi-Node Hadoop Cluster -- Lab4

Deployment Types, Planning 3 Node Hadoop Cluster, Installing Cloudera Manager, Installing Multi Node Hadoop Cluster Using Cloudera Manager, Hadoop Configuration in Cluster environment, Specifying the Hadoop Configuration, Performing Basic Administration Tasks Using Cloudera Manager

   Session8 : Data In and Out of Hadoop & Mock Interview1

Introduction of Flume and Sqoop, Ingesting Data from External Sources with Flume, Ingesting Data from Relational Databases with Sqoop, Flume Model & Scalability, Mock Interview1

   Session9 : Pig Overview -- Lab6

Introduction to Pig, Comparison b/w Pig and SQL, Installing and Configuring PIG, Running PIG -- Hands On, PIG Latin, User Defined Functions (UDFs)

   Session10 :: Hive Overview -- Lab7

What is HIVE, Serialization/De-Serialization, Hive File Formats & Data Model, System Architecture and Components, Hive Query Language, Hive: Installation, Running and Programming, Difference b/w Hive and Pig

   Session11 : Advanced MapReduce & YARN

Writing a MapReduce Program in Java, Writing a MapReduce Program Using Streaming, Custom Data Types, Input & Output Formats, Combiners and Partitioners, Introduction to YARN, YARN Architecture

   Session12 : Hadoop Ecosystem

Introduction to Zokeeper(Challenges faced in distributed applications,Zookeeper: Goals and Uses, Zookeeper: Entities, Data Model, Services), Introduction to Chukwa (Chukwa Architecture, Chukwa Agent), Introduction to Apache Oozie (Apache Oozie Workflow), Introduction to Mahout, Introduction to Apache Cassandra (Why Apache Cassandra), Introduction to Hue, Introduction to Impala

   Session 13 : Managing & Scheduling Jobs, Cluster Maintenance & Logging

Managing Running Jobs, Scheduling Hadoop Jobs, Configuring the Fair Scheduler, Checking HDFS Status, Adding and Removing Cluster Nodes, Rebalancing the Cluster, Monitoring Hadoop Clusters, Common Troubleshooting Hadoop Clusters

   Session 14 :: Hadoop Project & Mock Interview2

Project Overview – Web Analytics, Classification, Clustering and Collaborative Filtering, Get Hands on with Live Data, Solution code discussion, Introduction to Hadoop community, Next Steps: Hadoop Certification Path, Mock Interview2

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Program Highlights
Instructor-led
Live interactive and classroom training will include the practical approach and assessments on regular basis.
Live Case Study
Domain Specific Live interactive case study using industry specific data, problem statements, solution architecture.
Assignments
Assignments which helps in conceptual understanding, Prepared for interview training & techniques.
Lifetime Access
Class recording, Study material ppt’s, pdf, assignments, datasets, case studies can be accessed through out the lifetime.
24 X 7 Support
We will support If any concern is raised related to the training, assignments, projects, case studies & interview questions.
Certification
After successful completion of the training and case study Palin will certify you as Palin certified Big Data Hadoop Developer.
Career Counselor
Avail career guidance and Professional guidance for resume building, unlimited opportunities and interviews.
Trainers

Highly motivated with leadership skills from premier institute having Master’s Degree in computer application . Holds good working experience in different domains like Telecom, Banking, FMCG. With the skill set of Big Data Developer as well as analytics.
FAQ's
   Who can go for Big Data?
Any Graduate having a programming background and database handling skills can opt for big data developer program to make his career into big data hadoop developer profiles.
   What is Big Data Hadoop?
Hadoop is a platform used to store and process very large amount of data which cannot be possible in conventional databases using distributed storage and computing which turns out to be the solution for all big data problems.
   What is future of Big Data Developers?
Big data is the new hot pick in the IT industry and as the amount of data is increasing every organisation is short of big data professionals. Making Big data as your next job helps you make a secure and creative career.
   Pre-requisite for Big Data Developer?
A basic knowledge of programming and database is must to look forward to learning big data development. Any technical graduate can opt for this course having a degree from a renowned institute.
   Is this a classroom training or online?
In both of the modes Palin arrange classes, can go in either of that classroom as well as online.
   Should I go for Online or Classroom?
Both the training modes are good to get trained. But online training is more better than the classroom training because online trainings are live interactive where you can raise your concerns at any point during the session. Additionally recording of the same session will be provided which you can access anytime anywhere.
   Which one is better classroom or online?
Everyone have their own opinion towards classroom or online training. In my point of view online classes are far better than classroom session. Online trainings have more much benefits comparative to classroom like we can easily record the session we can access that session whenever we want. In online session we just need a laptop and internet connection can easily access the classroom.
   After the course for which companies I can apply for?
Most of the organizations are working on Big Data platform Like TCS, Mckinsey, Delloitte, Airtel, Facebook, Twitter, PayTM, Accenture, Cognizant, IBM, Amex, RBS, UHG and many more..
   What are pay packages for fresher in Big Data Development?
An Entry-Level Big Data Developer, IT earns an average salary of Rs 579,714 per year. The highest paying skills associated with this job are Development with java, scala or python.
   What excatly we cover in Big Data?
First we cover introduction to Big data, HDFS Architecture, Map-Reduce, PIG, HIVE, Sqoop, Flume, oozie, yarn
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