EdX

Introduction to Designing Data Lakes on AWS (edX)

Offered by AWS,
Introduction to Designing Data Lakes on AWS (edX)

In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Designing a data lake is challenging because of the scale and growth of data. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale.
This course is part of the Cloud Solutions Architecture Professional Certificate.

What you'll learn

  • Where to start with a Data Lake?
  • How to build a secure and scalable Data Lake?
  • What are the common components of a Data Lake?
  • Why do you need a Data Lake and what it's value?

Syllabus

Week 1: Hello World, I mean, Hello Data Lakes!
Video: Meet the Instructors
Video: Introduction to Week 1
Video: Why Data Lakes?
Video: Characteristics of a Data Lake
Video: Data Lake Components
Reading: Data Lake Characteristics and Components
Video: Comparison of a Data Lake to a Data Warehouse
Reading: Data Lakes and Data Warehouses
Video: Discussing sample Data Lake Architectures
Quiz/Assessment: Week 1 quiz

Week 2: AWS data related services
Video: Introduction to Week 2
Video: AWS Data Lake related services
Video: Amazon S3
Video: AWS Glue Data Catalog
Reading: S3 and Glue Data Catalog
Video: AWS Services used for data movement
Reading: Kinesis, API Gateway, etc
Video: AWS Services for Data processing
Video: AWS Services for Analytics
Video: AWS Services used for Predictive Analytics and Machine Learning
Reading: EMR, Glue Jobs, Lambda, Kinesis Analytics, Redshift
Video: Introduction to AWS LakeFormation
Reading: LakeFormation
Lab: Get familiar with AWS Services and create your first simple data lake

Week 3: Ingesting the rivers
Video: Introduction to Week 3
Video: Use the right tool for the job
Video: Understanding Data Structure and when to process data
Video: Data Streaming ingestion with Amazon Kinesis Services
Video: Diving Deep on Amazon Kinesis
Demo: Batch Data Ingestion with AWS Transfer Family
Reading: Batch Data Ingestion with AWS Services
Video: Data Cataloging
Demo: Using Glue Crawlers
Reading: The importance of data cataloging
Video: Reviewing the ingestion part of some Data Lake architectures
Lab: Ingesting Web Logs

Week 4: Processing and Analyzing data that sits in the Data Lake
Video: Introduction to Week 4
Video: Data prep and AWS Glue jobs
Video: File optimizations
Demo: Using S3, Glue and Athena to get insights about NYC Taxi data
Reading: Glue Jobs, Data Prep, Athena? Columnar Data Formats and Amazon Athena Optimizations
Video: Introduction to Data Lake security
Reading: Security and compliance
Video: The power of data visualization
Video: Introduction to Amazon QuickSight
Demo: Amazon Quicksight
Reading: Data visualization, Amazon QuickSight
Video: Registry of Open Data on AWS
Lab: Create an end-to-end Data Lake with AWS Services
Video: Course wrap-up!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Generative AI and LLMs on AWS (edX) EdX
AI (Pragmatic AI Labs)

Generative AI and LLMs on AWS (edX)

Computer Science

Unlock scalable generative AI with expert training on deploying and optimizing large language models on AWS for peak performance and compliance. Master deploying generative AI models like GPT on AWS through hands-on labs. Learn architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance best practices. Gain skills in operationalizing LLMs using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques. Ideal for ML engineers, data scientists, and technical leaders.

Self Paced
Self-Paced
AWS CI/CD Large Language Models
Details
Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX)

Statistics & Data Analysis Data Science

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOp2s: Data Pipeline Automation & Optimization using Amazon Web Services (AWS).

Self Paced
Self-Paced
Optimization Automation Continuous Integration
Details
Analytics for the Classroom Teacher (edX) EdX
Curtin University,CurtinX

Analytics for the Classroom Teacher (edX)

Education Statistics & Data Analysis

This course is ideal for school teachers who want to improve their teaching through valuable data-driven insights. Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you!

No sessions available
5-12 Weeks
Teaching Teacher Learning Analytics
Details
Getting Started with Data Analytics on AWS (edX) EdX
AWS

Getting Started with Data Analytics on AWS (edX)

Statistics & Data Analysis Data Science

Learn how to go from raw data to meaningful insights using AWS with this one-week course. With the explosion of data collection enabled by the internet, mobile applications and transformation into the cloud, effective data analytics is turning into a critical tool in practically every domain – from academia to enterprise.

Self Paced
Self-Paced
Predictive Analytics Descriptive Analytics Data Analytics
Details
Cloud Cost Management: Optimization Strategies (edX) EdX
AWS

Cloud Cost Management: Optimization Strategies (edX)

CS: Information & Technology Computer Science

Cloud cost management is the organizational planning that allows an enterprise to understand and manage the costs and needs associated with its cloud technology. In particular, this means finding cost-effective ways to maximize cloud usage and efficiency. AWS has a set of services, tools and resources to help the customers with cost management and optimization. This course will highlight the solutions and best practices to get started with optimizing AWS cost and capacity.

Self Paced
Self-Paced
Cloud Cost Management AWS
Details
Data Analytics Basics for Everyone (edX) EdX
IBM

Data Analytics Basics for Everyone (edX)

Statistics & Data Analysis

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst. In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem.

Self Paced
Self-Paced
Big Data Data Science Data Scientist
Details
Data Analytics in Health - From Basics to Business (edX) EdX
KU Leuven University

Data Analytics in Health - From Basics to Business (edX)

Health & Society Medicine & Pharmacology

Improve diagnostics, care and curing by effectively applying data analytics in healthcare and spot entrepreneurial opportunities. Many people talk about the promise of “big data” to health care. But how can the application of data analytics to big data actually improve health and health care? We will show that novel data analytics based solutions can result in better diagnosis, better care and better curing. This provides fertile ground for entrepreneurship and the development of new businesses.

No session available
4 Weeks
Health Healthcare Entrepreneurship
Details