Big Data Analytics

Course Introduction

Getting intellectuals ready to become Big Data Experts!

This hands-on training of Seven (7) days being led by industry experts aims to open up the advance career opportunities for attendees to be SQL developers, data analysts, business intelligence specialists, developers, system architects, and database administrators. In the course, attendees will be given extensive hands-on practice on advance Big Data tools and technologies such as Hadoop, Cloudera, Hive, Sqoop etc.

This course will teach students:

  • How to Extract, Transfer, Load (ETL) processes to prepare data from a MySQL database into HDFS using Sqoop.
  • Use Data Definition Language (DDL) statements to create or alter structures in the meta store for use by Hive and Impala.
  • Use Query Language statements in Hive and Impala to analyze data on a cluster.

Course Audience

The following course is designed for

  • Career newbies, Recent graduates, third year and final year students from the Computer Science/ IT/Software Engineering disciplines.
  • Professionals from the computer science domain who want to shift the profession to Big Data, i.e. Business Intelligence experts, Data Scientist, Data Analysts.
  • Executives who want to build the initial knowledge about the impact of the Big Data ecosystem on their organizational growth.

Course Schedule

Syllabus - What you will learn from this course

Introduction to big data

  • Introduction to Analytics & Architecture
  • What is High Performance Computing
  • What is streaming data
  • What is visualization
  • What is Big Data
  • Your first Big Data application on AWS

Introduction to data analysis, Storage & processing solutions

  • Data analytics and data analysis concepts
  • Introduction to the challenges of data analytics
  • Introduction to Amazon S3
  • Introduction to data lakes

Storage & processing solutions

  • Introduction to data storage methods
  • Introduction to data processing methods
  • Introduction to batch data processing
  • Introduction to stream data processing

Data structure and types

  • Introduction to source data storage
  • Introduction to structured data stores
  • Introduction to semi-structured and unstructured data stores
  • Understanding data integrity
  • Understanding database consistency
  • Introduction to ETL process
  • Introduction to analyzing data
  • Introduction to visualizing data

Big Data analytics & architecture

  • Big Data Analytics on Amazon Web Services (AWS)
  • Introduction to Amazon EMR
  • Getting started with real-time data analytics on AWS
  • Getting started with real-time streaming data in under 5 minutes
  • Big Data on AWS – structures, unstructured streaming
  • Evolving your Big Data use cases from batch to real-time
  • Building Big Data solutions with Amazon EMR and Amazon Redshift
  • Defining Big Data
  • Example Big Data Stacks
  • Big Data Framework | Hadoop Tutorial for Beginners
  • Big Data Architectural Patterns and Best Practices on AWS
  • Architectural Patterns for Big Data on AWS

Big Data ,HPC & Streaming

  • High Performance Computing (HPC) with Amazon Web Services
  • High Performance Computing in the Cloud with AWS and Cycle Computing
  • Large Scale Processing and Huge Data sets
  • What is a Data Stream?
  • What is Streaming Data?
  • What Is Amazon Kinesis Data Streams?
  • Perform Basic Stream Operations
  • Creating a Stream

Software development & Platform Technologies

  • Architecture
  • DevOps
  • Programming Languages
  • Scripting Languages
  • Mobile Applications
  • Web Development
  • Software architecture
  • Software development processes and methodologies: definition
  • Software architecture and design
  • Introduction to programming
  • Overview of main programming languages
  • Introduction to C, C#, C++, .NET, Java, Python and others
  • Introduction to operating systems and virtualization
  • How is virtualization used in the cloud?
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Our Trainers

Bikram Adhikari

Bikram Adhikari

Mr. Bikram is an experienced Software engineer with a demonstrated history of working in the computer software industry. Skilled in PHP, Java, HTML, C#, and Web Applications. A…

Anjani Phuya

Anjani Phuya

Mr. Anjani is working on a mission of developing end-to-end product engineering and digital transformation services to companies and startups across Europe and Asia by…


Frequently Asked Questions

The training would be instructor led. It will be a full seven days training (from 10AM-6PM).

Attendees don’t need to have any prior Big Data tools and platforms knowledge or hands on for this course. But they should have basic knowledge of programming, databases & SQL.

For the betterment of KP youth, this digital skill training is offered by KPITB free of cost. CCA Certification cost is not covered in the training. Trainees and KPITB would set modalities for the reimbursement of the certification fee.

Training is planned to be conducted at multiple locations across Khyber Pakhtunkwa. The details of training venues / locations would be communicated at the time of registration.

  • 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.
  • This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.
  • A SQL developer who completes this training would be able to perform core competencies required to pull and generate reports in Cloudera’s CDH environment using Impala and Hive.

After this training, you shall be eligible for the international certification of CCA that would be opening up various opportunities not just on national but on international level as well.

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.

Yes, you will be awarded with a course completion certificate by Dice Analytics. You shall also be eligible for the international certification of Cloudera Certified Associate.