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Big Data Training

Learn Big Data from Industry Professionals

About Big Data Training

Getting intellectuals ready to become Big Data Experts!

 

During the Six (6) weeks of the course, you will learn about the different ingredients of Big Data such as Hadoop, Spark, Pig, Hive, Sqoop etc.

 

In the subsequent weekly distribution of the course, participants will have hands-on experience on different pillars of the Big Data Ecosystem starting from parallel processing frameworks like Map Reduce & Spark, Distributed Storage techniques like HDFS, Big Data Administration Ambari etc.

 

At the end of the course candidates will have in-depth understanding & hands-on related to Big Data solutions like Cloudera & Horton works.

View Course Outline Reserve Your Seat

Schedule

Starting

12th Dec, 2018

Duration

7 Weeks (Week Days)

Timings

09:00AM to 06:00PM

Remaining

10 Seats Left

Success Stories of our Students

Following are the students who got placed in Industry after successfully being certified by Dice!

Meet the Instructors

Meet the trainers of this course who are Big Data experts & are highly experienced!

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Ali Raza Anjum

Data Science, Big Data, CVMA, Machine Learning, Trainer

He is also a Gold Medalist from NUST. He has been working in the domain of Datawarehousing, Data Science, Big Data and Customer Value Management since last 7 years...

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Ali Abbas

Data Scientist | Data Science Instructor | Big Data Engineer

A data enthusiast able to efficiently leverage advanced knowledge statistical inference and machine learning to furnish insights and enable data driven business processes...

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Muhammad Taimoor Yousaf

Big Data Expert

A data enthusiast able to efficiently leverage advanced knowledge statistical inference and machine learning to furnish insights and enable data driven business processes...

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Mobeen Ahmed

Software Engineer at MobizMedia LLC.

Experienced Software Engineer with a demonstrated history of working in the computer software industry. Skilled in Python, C#, Big data, Hadoop, PostgreSQL, Microsoft Excel, SQL, and C++...

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Muhammad Muneeb

Big Data Expert

Experienced Software Engineer with a demonstrated history of working in the computer software industry. Skilled in Python, C#, Big data, Hadoop, PostgreSQL, Microsoft Excel, SQL, and C++...

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Faran Shahid

Big Data Expert

Experienced Software Engineer with a demonstrated history of working in the computer software industry. Skilled in Python, C#, Big data, Hadoop, PostgreSQL, Microsoft Excel, SQL, and C++...

Course Outline

Week 1

What is Big Data

Big Data Era

Big Data- Data Sources

4 vs of Big Data

Convetional Datawarehouse Architecture

Modern Datawarehouse Architecture

What is Data Discovery

Distributed Computing & its Advantage

Big Data Processing Frameworks (Hadoop, Apache Spark, Nosql Databases)

What is Hadoop & its History

Apache Hadoop Stack

Introductino to Hortonworks, Cloudera & Mapr (their difference)

Basics of Flume, Sqoop, Zookeeper, Ozie, HBase, Mahout, Hive, Pig

Hadoop Cluster (Master Node, Data Node, Namenode, Job Tracker, Task Tracker)

How HDFS works (Block Size, Replication Factor, HDFS Read, HDFS write, Pipleline writing)

Week 2

Parallel Processing Basics

Map & Reduce

Hadoop 1.0 vs Hadoop 2.0

Cloudera Configuration & Overview

Hortonworks Configuration & Overview

Cloudera Data Ingestion Lab

Hortonworks HDFS Ingestion Lab

HDFS Commands

Cloudera HDFS Ingestion Lab

HDFS Data Ingestion Lap

Map Reduce Implementation Lab

Yarn Achritecture

Yarn Resource Manager

Yarn Node Manager

Yarn Application Manager

Yarn High Availability

Yarn Request Model

Yarn Schedualers

Hortonworks Yarn Lab

Cloudera Yarn Lab

Containers Concept in Hadoop

Week 3

Hive

Hive Alignment with SQL

Hive Query Process

Hive Managed Tables

Hive External Tables

Hive Table Location

Hive Bucketing & Partitioning

Cloudera Hive Lab

Hortonworks Hive Lab

Hive Views

Tez Framework

Pig-Latin

Grunt Shell & Pig Scripting

Pig Commands

Pig Lab

Sqoop

Sqoop Lab

Hadoop Administration

Ambari

Week 4

Zookeeper

Cloudera Manager

Hortonworks Ambari

Lambda & Kapka Architecture & their Applications

Why Apache Spark

Spark Driver

Spark Context

Spark Executors

Working with RDD

Spark Transformations (Map, Flatmap, Filter, Distinct)

Spark Actions (Collect, First, Take, Count, Reduce, Save-as-text, )

Transformations vs Actions

Lazy Evaluation

What is Spark Streaming

What is Spark SQL

Spark Lab

Week 5

No SQL Databases

Why & when to use no SQL Databases

Cap theorem for no SQL Databases

No SQL Databases types (column oriented, key value oriented, graph oriented , document oriented)

Casandra Basics

Mongo DB Basics

Setup your own Hadoop Cluster using Amazon Services

Week 6

Project.

Tools

Pricing

Following is price for this extensive training on Big Data

Individual
Price for an Individual Member
Rs 25,000 per person
Group of Two
7% Discount for a group of two people
Rs 23,250 per person
Group of Three
10% Discount for a group of Three people
Rs 22,500 per person
Group of Four
15% Discount for a group of Four people
Rs 21,250 per person

Video Testimonials

Watch to find out that what our course attendees have to say about the course and the experience they have got with us!

 

Frequently Asked Questions

Who should attend the course?

Recent graduates, third year and final year students from the computer science disciplines.

Professionals from the computer science domain who want to shift the profession to Big Data Analytics.

Executives who want to build the initial knowledge about the impact of the Big Data ecosystem on organization growth.

Who are the Instructors?

What is the timing of the course?

Duration: 7 weeks

Class Days: Week Days

Timings: 09:00 AM to 06:00 PM

Can I get a job after this course?

Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.

How much hands-on will be performed in this course?

Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.

What are the PC requirements?

For Big Data Professional course, you need to have Minimum Core i3 PC, 4th Generation with 12GB RAM and ideally Core i7, 5th Generation with 16GB RAM.

Will I get a certificate after this course?

Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.

Reserve your Seat

With digital transformations running today’s hyper-connected world, Our full stack Data Analysts help in addressing the data challenges being faced!

     
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