Program HighlightsPROGRAM

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.

Foundations of Big Data Program Highlights

  Course duration

Duration

  • 5 weeks
    3-4 hours/week
  Course Fee

Fee

US$ 232 - US$ 699

Course duration

Duration

  • 5 weeks
    3-4 hours/week
Course Fee

Fee

US$ 232 - US$ 699

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.

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.

After completing this course you will have knowledge of:

  • SQL
  • Data Definition Language
  • Hadoop
  • Spark
  • Apache Pig
  • Data pipelines
  • 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.

Program Outline

Topics Covered

  • Course topic

    Welcome!

  • Course topic

    About this course

  • Course topic

    Module 1 - What is Big Data?

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    Module 2 - Beyond the Hype

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    Module 3 - Big Data and Data Science

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    Module 4 - Big Data Use Cases

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    Module 5 - Processing Big Data

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    Course Summary

  • Course topic

    Final Exam (15 Questions)

Topics Covered

  • Course topic

    Welcome!

  • Course topic

    About this course

  • Course topic

    Module 1 - SQL and Relational Databases 101

  • Course topic

    Module 2 - Relational Model Constraints and Data Objects

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

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    Module 4 - Advanced DDL and DML

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    Module 5 - Working with multiple tables

  • Course topic

    Course Summary

  • Course topic

    Final Exam (20 Questions)

Topics Covered

  • Course topic

    About this course

  • Course topic

    Module 1: Introduction to Hadoop

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    Module 2: Hadoop Architecture & HDFS

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    Module 3: Hadoop Administration

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    Module 4: Hadoop Components

  • Course topic

    Final Exam (18 Questions)

Topics Covered

  • Course topic

    About this course

  • Course topic

    Module 1: Introduction to Spark

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    Module 2: Resilient Distributed Dataset and DataFrames

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    Module 3: Spark application programming

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    Module 4: Introduction to the Spark libraries

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    Module 5: Spark configuration, monitoring and tuning

  • Course topic

    Final Exam (20 Questions)

Topics Covered

  • Course topic

    About this Course

  • Course topic

    Module 1: Pig Basics

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    Module 2: Pig Relational Operators

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    Module 3: Pig Evaluation Functions

  • Course topic

    Final Exam (15 Questions)

Topics Covered

  • Course topic

    About this Course

  • Course topic

    Module 1: Introduction to MapReduce and YARN

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    Module 2: Limitations of Hadoop v1 & MapReduce v1

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    Module 3: The Architecture of YARN

  • Course topic

    Final Exam (9 Questions)

Topics Covered

  • Course topic

    About this Course

  • Course topic

    Module 1 - Data Pipelines and Workflows

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

  • Course topic

    Module 3 - Difference Between DBMS and BDMS

  • Course topic

    Final Exam (9 Questions)

Course Certificate

Earn your certificate

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

Preview digital certificate

FAQs

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.

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

  • Big Data Engineer
  • Big Data Architect
  • Data Warehouse Manager
  • Database Developer
  • Database Administrator
  • Database Manager
  • Data Scientist
  • Business Intelligence Analyst

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.

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.

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.

Yes, you will be issued an IBM Certificate once you have successfully completed Foundations of Big Data. It is a great accomplishment to highlight on your LinkedIn profile. 

You will be able to access the materials through your dashboard as soon as you enroll.  

There is only one final exam in Foundations of Big Data Program.