What Is AWS Big Data? A Complete Overview

January 11th, 2024
AWS Big Data

Big data has proven to be more than just a buzzword. It is practically changing the face of organizations everywhere. Since data is being produced right, left, and center, companies have decided to make the most of it to transform their potential. When it comes to making the most of this data at hand, AWS shines out as a powerful name. In this blog, we are going to answer questions around what is AWS Big Data, and its services, use cases, and job opportunities.

So, let's begin!

What is Big Data?

One of the most pestering questions that many people have on their mind is what is Big Data and how exactly is it different from data. Simply put, big data equals gigantic amounts of unstructured, semi-structured, and structured data that is pulled from various sources. Traditional databases and techniques are insufficient to handle it because of its large nature.

It is often described through the three V's:

Volume: Between terabytes and petabytes of data

Variety: Since the data is collected from various sources and comes in different formats

Velocity: As the data gets accumulated rapidly

Learn more about AWS big data from this BDM training online to start your career as AWS big data engineer.

A Brief Introduction to AWS

Before we move onto AWS services for big data, here is a brief introduction to Amazon Web Services alone.

AWS or Amazon Web Services brings to the table a variety of cloud computing products and services. It comes in a pay-as-you-go model, which allows organizations to pay for only what and how much they use. It includes mobile development, storage, remote computing, Internet of Things, servers, developer tools, security, email, and networking, among many others.

What is AWS Big Data?

Various Amazon Web Services are extensively used for managing large data bank. Many organizations are dependent on Amazon Web Services for all their complex Data needs without having to fret about security, reliability, and hardware. Here are a few reasons why Amazon Web Services has become a favorite among organizations for handling complex data set-

  • High computing capabilities
  • Ingestion
  • Secure and reliable storage
  • Constant availability 
  • High data security 
  • Analysis and visualization

AWS Services for Big Data

When it comes to learning about the Amazon Web Services for large data bank, the list can be long. However, we have summed it up for you.

  1. Ingestion
  • Storage Gateway
  • Snowball
  • Kinesis Firehose
  1. Storage
  • Amazon RDS
  • S3 Glacier
  • AWS Lake Formation
  • Amazon DynamoDB
  1. Security
  • AWS KMS or Key Management System
  • AWS IAM or Identity and Access Management 
  1. Analysis & Visualization
  • Amazon Athena
  • Amazon Elasticsearch
  • Amazon Redshift
  • Amazon QuickSight
  • Amazon SageMaker
  1. Computing
  • AWS Glue
  • Amazon EMR or Elastic MapReduce

You may also read- Splunk Careers- Learn Splunk To Get Big Data Jobs

AWS Big Data Use Case

To truly understand Big Data on Amazon Web Services, you must take a look at some of AWS Big Data use cases. Here are some of the top ways in which organizations are making the most of Data with Amazon Web Services.

  1. On-Demand Big Data Analytics 

Organizations can build a complete analytics application to power their working. They can scale a Hadoop cluster within a few minutes and take from zero to thousands of servers. Similarly, they can turn it off when they are done. This means they can process workloads in a short span of time and at lower costs.

  1. Clickstream Analysis 

Any organization that wants to enhance their customer's digital experience when visiting their website can make the use of AWS Big Data. A lot of things are made easier by combining these two like collecting, processing, analyzing, and visualizing all insights related to clickstream and that too in real time.

  1. Smart Applications

Any application can adopt predictive capabilities when Amazon Machine Learning is used. Boost it further by combining it with the power of Amazon Kinesis that will help in ingesting data from various social media platforms in real time. Machine learning can also be used for generating predictions on the data ingested.

  1. Event-Driven ETL

AWS Lambda is a top pick for organizations when it comes to performing data transformations such as filtering, sorting, joining, aggregating, and much more on new datasets. The transformed data sets are then loaded into Amazon Redshift to facilitate interactive analysis and query.

  1. Data Warehousing 

When companies deploy their data warehousing architecture in the Amazon Web Services Cloud, they can reduce costs and optimize query performance. The power of Apache Hadoop framework can be leveraged for performing data transformations through Amazon EMR.

AWS Big Data Certification

AWS certifications are typically divided into three categories - Foundational, Associate, and Professional. However, there is also a fourth category named Specialty Certifications.

The AWS Certified Big Data - Specialty certification is for anyone who is pursuing a successful career around data lakes, data warehouse solutions, and data analysis.

AWS Big Data Certification

Image Source- AWS Amazon 

Here is the exam criteria you must meet to qualify-

1. 2+ years of experience with AWS

2. 5+ years of experience in the field of data analytics 

3. Hold either of the following certifications:

  • AWS Certified Cloud Practitioner 
  • AWS Certified Solutions Architect - Associate
  • AWS Certified SysOps Administrator - Associate
  • AWS Certified Developer - Associate

You May Also Read- What Is AWS DevOps? Everything You Need To Know

Jobs in Big Data

There is no end to the number of jobs in Big Data. All you have to do is look in the right direction and you will find yourself amid a sea of opportunities. Here are the top job titles -

  • Technical Recruiter
  • Data Analyst
  • Database Manager
  • Network Security Engineer
  • Database Administrator
  • Data Scientist
  • Business Intelligence Analyst
  • Big Data Engineer


Big Data in AWS has become a key component for success for many organizations. Thus, getting trained and earning an associated certificate will help you immensely in getting seen by hiring managers. Tap into the wide world of Amazon Web Services and Data Science to uncover a sea of opportunities and future possibilities.

AWS Big Data FAQs (Frequently Asked Questions)

Que 1. What is AWS Certified big data?

Ans. AWS Certified Data Analytics - Specialty is for those who hold expertise and experience in working with key Amazon Web Services. It is recommended to have around 5 years of experience before appearing for this exam.

Que 2. How hard is AWS big data certification?

Ans. The AWS Big Data certification is not everyone's cup of tea. It requires an individual to have a deep understanding of the complete Amazon Web Services ecosystem, data analytics concepts, and big data technologies.

Que 3. How much does AWS big data certification cost?

Ans. The AWS big data certification exam costs $300 USD.

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