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Big Data

Learn Big Data from Industry Professionals

About Big Data Training

Getting intellectuals ready to become Big Data Experts!

During the Seven (7) 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

To be announced soon!

Duration

7 Weeks (Saturdays)

Timings

10:00AM to 06:00PM

Remaining

13 Seats Left

 

Instructors!

Meet the instructors of Big Data Course

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Data Science | Big Data | CVMA | Machine Learning | Trainer
Ali Raza Anjum

Mr. Ali Raza Anjum has 8+ years of experience in all top telecom companies of Pakistan and currently working as a Manager CVM & Analytics at Zong. His key expertise are in domains of Big Data, Data Science, Data Mining, Data Prediction, Data Visualization, Data-driven Marketing and Customer Value Management. He is also a Gold Medalist from NUST with a background in both IT and Business Management.

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Big Data, Data Warehouse | Business Intelligence Consultant & Trainer | Dice Analytics
Nauman Mir

Mr. Nauman Mir has 9+ years of experience in telecom industry and his key expertise include Big Data techniques, planning, development, operations, performance tuning, campaign management and information security. He has been responsible for defining and implementing Business models, data marts, OLAP/Intelligent cubes, providing data level services for different analysis for Commercial teams.

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Big Data | Data Science | Technical Assistant in Dice Analytics
Muhammad Muneeb
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Big Data | Data Analytics | Technical Assistant in Dice Analytics
Bilal Maqsood

Course Outline

Week 1

What is Big Data?
Big Data Era
Big Data- Data Sources
4 V’s of Big Data
Conventional Data Warehouse Architecture
Modern Data Warehouse 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
Introduction to Hortonworks, Cloudera & MapR (Their Differences)
Basics of Flume, Sqoop, Zookeeper, Ozie, HBase, Mahout, Hive, Pig
Hadoop Cluster (Master Node, Data Node, Namenode, Job Tracker, Task Tracker)
Hortonworks Sandbox Installation
HDFS
HDFS Working
HDFS Block Size
HDFS Replication Factor
HDFS Read
HDFS Write
HDFS Pipeline Writing

Week 2

Parallel Processing Basics
Map & Reduce
Hortonworks Configuration & Overview
Hortonworks HDFS Ingestion Lab
HDFS Commands
HDFS Data Ingestion Lab
Map Reduce Implementation
Hive
Hive Alignment with SQL
Hive Query Process
Hive Data Loading
Hive Managed Tables
Hive External Tables
Hive Table Location
Hive Bucketing & Partitioning
Hortonworks Hive Lab
Hive Views
Hive use for XML
Hive Supported File Format
Hive Data Model
Block Compression
Storage Formats in Hive

Week 3

Hadoop 1.0 VS Hadoop 2.0
YARN Architecture
YARN Resource Manager
YARN Node Manager
YARN Application Manager
YARN High Availability
YARN Request Model
YARN Schedulers
YARN Performance Gauging
YARN Performance Measuring
YARN System Health
Resource Allocation in YARN
Hortonworks Yarn Lab
Containers Concept in Hadoop
Tez Framework
Tez DAG

Week 4

PIG
PIG VS Hive
PIG Architecture
PIG-Latin
Grunt Shell & PIG Scripting
PIG Commands
Loading Data in PIG
PIG Filter
PIG Joins
Debugging Using PIG
PIG Execution Modes
PIG Execution Mechanism
HCatalog
Sqoop
Sqoop Architecture
Sqoop Execution Modes
Sqoop Lap
Lambda & Kapka Architecture & their Applications

Week 5

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 Execution

Week 6

What is Spark Streaming
What is Spark SQL
Spark Lab
Loading Text File in Spark
Loading csv in Spark
Loading XML in Spark
Loading JSON in Spark
Introduction to

Week 7

Project & Test
Self-learning Path Guidance

Tools

Pricing

Following is price for this extensive training on Big Data

Individual
Price for an Individual Member
Rs 30,000 per person
Group of Two
7% Discount for a group of two people
Rs 27,900 per person
Group of Three
10% Discount for a group of Three people
Rs 27,000 per person
Group of Four
15% Discount for a group of Four people
Rs 25,500 per person

 

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?

Ali Raza Anjum

Ali Abbas

Muhammad Taimoor Yousaf

Mobeen Ahmed

Muhammad Muneeb

Faran Shahid

What is the timing of the course?

Duration: 7 weeks

Class Days: Saturdays

Timings: 10:00 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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