The 10 Best AWS Big Data Online Training and Courses for 2022

The editors of Solutions Review have compiled this list of the best online AWS big data training and courses to use to build your skills.

SR finds 106The first major cloud computing provider, Amazon Web Services (AWS) combines more than 100 distinct services that cover a wide range of cloud functionality. AWS has a strong focus on infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) offerings, with an emphasis on providing virtual infrastructure and developer tools, including including storage, computing, database, mobility and management services. the big data landscape evolves in real time, pushing organizations to use their data architectures wisely. Along with this, Hadoop and the data lake have become technologies that no business can ignore.

With that in mind, we’ve compiled this list of the best online AWS big data training and courses to consider if you’re looking to develop your cloud data management skills for work or play. This is not an exhaustive list, but a list that showcases the best AWS and co online Big Data training from trusted online platforms. This list of the best enterprise architecture courses below includes links to the modules and our take on each.

The Best AWS Big Data Training

TITLE: AWS S3 Basics

OUR OPINION : At the end of this project, you will create an S3 bucket and be able to upload content to the bucket. You will also enable encryption, versioning, static website hosting, and create lifecycle management rules for objects.

Platform: Coursera

The description: In this one-hour, project-based course, you will learn about AWS S3 and its features such as encryption, versioning, static website hosting, and lifecycle management. S3 stands for Simple Storage Service, it is an object-based storage service provided by AWS. You will need an AWS account to complete this project. All resources used in this project fall under the AWS Free Tier.

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TITLE: Amazon DynbamoDB: Building NoSQL Database-Based Applications

OUR OPINION : This course uses a combination of video lectures from expert Amazon Web Services technical trainers, demonstrations, and hands-on lab exercises, which you complete in your own AWS account.

Platform: Coursera

The description: This course introduces you to NoSQL databases and the challenges they solve. Expert instructors will dive deep into Amazon DynamoDB topics such as recovery, SDKs, shard keys, security and encryption, global tables, stateless applications, streams, and best practices. This course can be applied to several programs of specializations or professional certificates

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TITLE: Introduction to Data Lake Design on AWS

OUR OPINION : This module will help you understand how to build and operate a data lake in a secure and scalable way, without prior data science knowledge. The training is led by Morgan Willis.

Platform: Coursera

The description: This course is intended for professionals (architects, system administrators and DevOps) who need to design and create an architecture for secure and scalable Data Lake components. Students will explore the use cases of a data lake and compare it to a traditional server and storage infrastructure.

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TITLE: AWS: Data Storage and Management

OUR OPINION : AWS architect Brandon Rich shows you how to set up object storage solutions and lifecycle management in Simple Storage Service. Students also learn how to migrate, back up, and replicate relational data in RDS.

Platform: LinkedIn Learning

The description: This course teaches system administrators the intermediate-level skills they need to successfully manage data in the cloud with AWS: configuring storage, creating backups, applying compliance requirements, and managing the disaster recovery process. The training can also be used as preparation for the Data Management domain in the AWS Certified SysOps Administrator exam.

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TITLE: Amazon Web Services: data services

OUR OPINION : This course helps you explore your storage and fabric options when working with Amazon cloud data services. This training is provided by Lynn Langit, a practicing Big Data Architect.

Platform: LinkedIn Learning

The description: This course helps you navigate options in file storage, relational and NoSQL data storage, data warehousing, graph and register databases, and data lakes. Plus, learn how to run open-source processing tools like Hadoop and Spark on AWS and take advantage of new serverless data services, including Athena Serverless Query and the auto-scaling version of the service. Aurora relational database, Aurora Serverless.

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TITLE: In-depth analysis of AWS DynamoDB

OUR OPINION : This intermediate level course shows you how to develop applications on the AWS DynamoDB database. Updated in June 2019, this training offers an impressive 6 hours of educational content.

Platform: Plural view

The description: You’ll learn how to process a stream of DynamoDB table updates in real time, how DynamoDB works under the hood, how to use DynamoDB transactions, how other AWS services integrate with DynamoDB, and how you can use them to leverage best out of this.

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TITLE: Big Data on AWS: Overview

OUR OPINION : Datameer’s Andrew Burst shows you the fundamentals of Big Data on Amazon Web Services so you can understand which product mix is ​​best for your use case.

Platform: Plural view

The description: In this course, you will gain basic knowledge of big data concepts and major big data services on AWS. First, you’ll learn all about basic Big Data concepts, such as Data Lakes, NoSQL, and MapReduce. Next, you’ll learn about the range of big data services available on AWS and how they relate.

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TITLE: Data Collection on AWS

OUR OPINION : This course will help you understand the best ways to ingest data into AWS by first exploring how to collect data over a dedicated network or with hardware appliances. This is an intermediate level training with nearly 140 minutes of content.

Platform: Plural view

The description: Students will learn how to migrate databases using the Database Migration Service and learn how to take advantage of the Amazon Kinesis family of services. Learners also gain the skills and knowledge of data collection on AWS needed to prepare their own data ingestion pipelines.

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TITLE: Data storage on AWS

OUR OPINION : Upon completion of this course, you will have the skills and knowledge of AWS data storage technologies needed to effectively design data storage solutions on AWS. Intermediate level training was last updated in July 2020.

Platform: Plural view

The description: First, you’ll learn how and when to leverage Amazon DynamoDB for low-latency, highly scalable data storage and access patterns. Next, you’ll learn how to use Amazon S3 for file and data storage. Finally, you’ll learn how to analyze different use cases for these services as well as other services that may play a role in the larger data storage picture.

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TITLE: Big Data on Amazon Web Services (AWS)

OUR OPINION : This course will help you understand the possibilities of Big Data on AWS. This course is ideal for big data aspirants, AWS enthusiasts, software developers, architects, and analytics professionals.

Platform: Udemy

The description: With the unstoppable growth of organizations moving towards data science and big data analytics, there is a need for trained professionals who are familiar with big data and AWS technologies. This course helps learners get the best of both worlds (big data analytics and AWS cloud) to prepare for the future.

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Timothy King
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