PROGRAM

Foundations of Big Data Program

Learn the fundamentals of big data. Explore relational SQL databases, Data Definition Language, Spark Hadoop, Apache Pig, Data Pipeline, and more.

Build critical skills in this fast-growing field and power your data science career.

SELF-PACED
MENTORED
BEGINNER

Duration

5 weeks
3-4 hours/week

Fee

US$ 232 - US$ 699


	Duration 5 weeks 3-4 hours/week

	Fee US$ 232 - US$ 699

1 Program Overview

Organizations are enjoying competitive advantage through analysis of the big data they gather every day. With the insights they are gaining from data sources such as sensors, devices, the web, social media, and transactional applications, businesses are improving customer relationships through informed decision-making. Individuals with the skills and knowledge to make sense of all this data are now in high demand.

During this course, you will be introduced to the fundamentals of big data. You will learn the basics of relational SQL databases, Data Definition Language, Spark Hadoop, Apache Pig and Data Pipeline. Plus, you will discover the concepts and tools used with digital visualization.

Additionally, you will explore how big data adds value to businesses. You will gain insights on how to improve the running of a business and provide better services to customers. You will learn how to process big data on platforms that can handle the volume, velocity, variety and veracity of big data – the 4 Vs. And you will create an IBM Cloud Lite account, create an instance of IBM Db2 Lite plan, create Hadoop architecture, and build a big data pipeline by drag and drop.

For individuals keen to build critical skills in many of the technologies used in the big data field, Foundations of Big Data is an ideal course to take.

2 How It Works

This IBM certified course comprises seven purposely designed modules that take you on a carefully defined learning journey.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours, you will complete the course in 5 week. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don’t worry, you’re not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.

Once you have successfully completed the course, you will earn your IBM Certificate.

3 Skills You Will Gain

After completing this course you will have knowledge of:

4 Who Should Enroll On This Program

Individuals keen to learn big data concepts and technologies.
College graduates who want to start their career in big data.
Experienced developers seeking to upskill.

5 Prerequisites

None.

Program Outline

Enroll for this program

Course 1: Big Data 101

Topics Covered

Welcome!

About this course

Module 1 - What is Big Data?

Module 2 - Beyond the Hype

Module 3 - Big Data and Data Science

Module 4 - Big Data Use Cases

Module 5 - Processing Big Data

Course Summary

Final Exam (15 Questions)

Course 2: SQL and Relational Databases 101

Topics Covered

Welcome!

About this course

Module 1 - SQL and Relational Databases 101

Module 2 - Relational Model Constraints and Data Objects

Module 3 - Data Definition Language (DDL) and Data Manipulation Language (DML)

Module 4 - Advanced DDL and DML

Module 5 - Working with multiple tables

Course Summary

Final Exam (20 Questions)

Course 3: Hadoop 101

Topics Covered

About this course

Module 1: Introduction to Hadoop

Module 2: Hadoop Architecture & HDFS

Module 3: Hadoop Administration

Module 4: Hadoop Components

Final Exam (18 Questions)

Course 4: Spark Fundamentals I

Topics Covered

About this course

Module 1: Introduction to Spark

Module 2: Resilient Distributed Dataset and DataFrames

Module 3: Spark application programming

Module 4: Introduction to the Spark libraries

Module 5: Spark configuration, monitoring and tuning

Final Exam (20 Questions)

Course 5: Apache Pig 101

Topics Covered

About this Course

Module 1: Pig Basics

Module 2: Pig Relational Operators

Module 3: Pig Evaluation Functions

Final Exam (15 Questions)

Course 6 - MapReduce and YARN

Topics Covered

About this Course

Module 1: Introduction to MapReduce and YARN

Module 2: Limitations of Hadoop v1 & MapReduce v1

Module 3: The Architecture of YARN

Final Exam (9 Questions)

Course 7: Fundamentals of Big Data Pipelines

Topics Covered

About this Course

Module 1 - Data Pipelines and Workflows

Module 2 - Big Data Pipelines and Analytical Operations in Big Data Pipelines

Module 3 - Difference Between DBMS and BDMS

Final Exam (9 Questions)

Earn your certificate

Once you have completed this program, you will earn your certificate.

Preview digital certificate

Program details

Certificate

IBM Certificate

About this Program

07 Modules
12 Skills

Includes

Discussion space
01 Hands-on labs
03 Exercises
19 Videos
04 Review questions
01 Final exam

Create

Create an IBM Cloud Lite account
Create an instance of IBM Db2 Lite plan
Hadoop architecture
Build big data pipeline

Exercises to explore

Jupyter labs installation
Entity-Relationship diagrams
Create tables, insert data, select results, update and delete data
String patterns,sorting result sets and grouping result sets with HR Database
Join operations with an HR database
Set up lab environment
Installation of Hadoop
Hadoop administration
Spark application
MapReduce and YARN
Accessing data from multiple sources using Python
Difference between DBMS and BDMS
Big data pipelines and analysis

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FAQs

Is big data a good option for a career?

Working in big data can be well remunerated, though of course it depends on your role, skillset, and qualification/certification background. Most jobs pay between $50,000 and $165,000 each year. And as a career, big data exposes you to the most up-to-date technologies.

What are the career options in big data?

There is an extensive list of career options available in big data.

Is big data good for career starters?

The answer to this question is a resounding YES. No area of information technology is exempt from the need for newcomers, whether it is an old technology such as mainframes or a new one such as big data. Building skills for big data when you're starting your career is a good step to take, for the skills will be of use across data science.

What will I learn during this Foundations of Big Data Program?

You will learn the principles of big data, as well as how to use relational SQL databases, data definition language, Spark Hadoop, Apache Pig, and Data Pipeline, amongst other things. This program, therefore, is a great opportunity to develop core skills in a rapidly expanding sector while also advancing your data science professional career.

Who can enroll in Foundations of Big Data Program?

The Foundations of Big Data Program is an excellent option for those who want to learn about big data concepts and technology hands-on. In addition, college graduates who wish to begin their careers in big data can apply. This training is also open to experienced developers who want to improve their skills.

Foundations of Big Data Program