Big Data: Demystifying the Big Idea

Big Data: Demystifying the Big Idea

This course is part of Applied Data Science and Analytics Specialization

Instructor: Madecraft

Included with Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

How to tell Big Data apart from a data warehouse and decide when to use each, or both, in your organization.
How to map the five layers of a Big Data architecture and match tools like Hadoop, Spark, and Kafka to the job.
How to weigh on-premise, cloud, and hybrid hosting using performance, scalability, and cost to guide real decisions.
How to spot common Big Data pitfalls and use the Data as a Product model to deliver lasting business value.

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Build your subject-matter expertise

This course is part of the Applied Data Science and Analytics Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

By the end of this course, you'll be able to define what makes data "big," distinguish Big Data from a traditional data warehouse, and map the core layers of a Big Data architecture from ingestion to serving. You'll compare processing approaches like batch, streaming, and Lambda, weigh core technologies such as Hadoop, Spark, and Kafka, and evaluate on-premise, cloud, and hybrid hosting against the principles that matter most: performance, availability, scalability, flexibility, and cost.

Led by a data and AI cloud architect with over a decade of hands-on experience building solutions for companies of all sizes, this course turns an intimidating buzzword into practical, decision-ready knowledge. You'll move beyond theory with a real-world case study, an inside look at cloud services, and a clear view of the business side of Big Data, from building data teams to avoiding the pitfalls that quietly derail projects. Whether you're a manager scoping your first Big Data initiative or a professional strengthening your foundations, you'll finish ready to make confident, informed choices about implementing Big Data in your own organization.

Big Data sits behind nearly every app you touch, yet the term is easy to misread and costly to get wrong. In this module, you'll pin down what makes data "big," tell it apart from a traditional data warehouse, and spot real use cases so you can put your organization's data to work.

What's included

4 videos1 reading1 assignment

A Big Data project succeeds or stalls based on how well its moving parts fit together. In this module, you'll map the layers of a Big Data architecture, compare processing approaches and core technologies like Hadoop, and weigh hosting options so you can design solutions that fit your needs.

What's included

6 videos1 reading2 assignments

6 videosTotal 26 minutes

Big Data Building Blocks5 minutes
Streaming and Batch Processes5 minutes
Relationship AI, ML and IOT4 minutes
What is Hadoop4 minutes
Tools in The Hadoop Ecosystem4 minutes
Identifying Hosting Infrastructures4 minutes

1 readingTotal 10 minutes

The Data Behind the Machines: How Big Data Powers IoT, AI, and ML10 minutes

2 assignmentsTotal 35 minutes

Mapping the Big Data Blueprint20 minutes
Processes and Concepts15 minutes

The cloud has reshaped how organizations build and scale Big Data without buying a single server. In this module, you'll distinguish the major cloud delivery models and weigh the benefits of running Big Data in the cloud so you can decide where your solutions belong.

What's included

2 videos2 assignments

Seeing Big Data solve a real business problem makes the concepts click in a way theory can't. In this module, you'll examine how Home Depot moved to cloud-based Big Data and trace the results so you can apply the same thinking to your own data challenges.

What's included

1 video1 assignment

Technology alone doesn't make an organization data-driven; people, products, and process do. In this module, you'll apply the Data as a Product model, map out the roles of a strong data team, and pinpoint the pitfalls that derail projects so you can build solutions that deliver lasting value.

What's included

4 videos1 reading1 assignment

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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Madecraft

104 Courses8,046 learners

Offered by

Madecraft

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