Do you want to develop business insights from siloed data stores with the help of a data lake? Our new one-day classroom course, Building Data Lakes on AWS, will help you practice building and securing a data lake in a hands-on environment. An expert instructor will also teach you how to optimize for cost and performance.

Duration: 1 day

Who is it for: This course is for data platform engineers, solutions architects and IT professionals.

Layout: This course includes presentations, interactive demos, practice labs, discussions, and class exercises..

Objectives

• Apply data lake methodologies in planning and designing a data lake
• Articulate the components and services required for building an AWS data lake
• Secure a data lake with appropriate permission
• Ingest, store, and transform data in a data lake
• Query, analyze, and visualize data within a data lake

Modules

Introduction to data lakes

• Describe the value of data lakes
• Compare data lakes and data warehouses

Describe the components of a data lake

• Recognize common architectures built on data lakes

Data ingestion, cataloguing, and preparation

• Describe the relationship between data lake storage and data ingestion
• Describe AWS Glue crawlers and how they are used to create a data catalog
• Identify data formatting, partitioning, and compression for efficient storage and query
• Lab 1: Set up a simple data lake

Data processing and analytics

• Recognize how data processing applies to a data lake
• Use AWS Glue to process data within a data lake
• Describe how to use Amazon Athena to analyze data in a data lake

Building a data lake with AWS Lake Formation

• Describe the features and benefits of AWS Lake Formation
• Use AWS Lake Formation to create a data lake
• Understand the AWS Lake Formation security model
• Lab 2: Build a data lake using AWS Lake Formation

Additional Lake Formation configurations

• Automate AWS Lake Formation using blueprints and workflows
• Apply security and access controls to AWS Lake Formation
• Match records with AWS Lake Formation FindMatches
• Visualize data with Amazon QuickSight
• Lab 3: Automate data lake creation using AWS Lake Formation blueprints
• Lab 4: Data visualization using Amazon QuickSight

Course Wrap-Up

• Post course knowledge check
• Architecture review
• Course review

Enquire about this course

More courses

course

Advanced Architecting on AWS

Through a series of use case scenarios and practical learning, you’ll explore AWS services that can be applied to solve architectural problems. You’ll find opportunities to combine your new knowledge with critical thinking and problem-solving skills. This course culminates in a final review project to reinforce what you’ve learned throughout the three days.

course

Advanced Developing on AWS

This three-day course covers advanced development topics such as architecting for a cloud-native environment and deconstructing on-premises legacy applications and repackaging them into cloud-based, cloud-native architectures. It also covers how to apply the tenets of the Twelve-Factor Application methodology.

course

Architecting On AWS

Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud.

course

AWS Cloud Essentials for Business Leaders

This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing.

course

AWS Cloud Essentials for Business Leaders – Financial Services

This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. In this half-day, instructor-led course, you’ll explore the possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.

course

AWS Cloud Practitioner Essentials

This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles.

course

AWS Technical Essentials

In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

course

Building Data Analytics Solutions Using Amazon Redshift

The course dives deep into the Amazon Redshift service and the current thinking in building and operating data analytics pipelines to turn data into insights.

course

Building Data Lakes On AWS

Do you want to develop business insights from siloed data stores with the help of a data lake? Our new one-day classroom course, Building Data Lakes on AWS, will help you practice building and securing a data lake in a hands-on environment.

course

Cloud Operations on AWS

This course teaches system administrators, operators, and anyone performing day-to-day operations in the AWS Cloud how to install, configure, automate, monitor, secure, maintain, and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, and best practices related to these functions.

course

Developing On AWS

This course will help you learn how to use AWS services and developer tools, such as the AWS SDK and AWS CLI to develop secure and scalable cloud applications from an expert AWS instructor. You will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips. In this 3-day, classroom training course you will learn how to programmatically interact with AWS services to build web solutions.

course

Developing Serverless Solutions on AWS

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform.

course

DevOps Engineering on AWS

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

course

MLOps Engineering On AWS

MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models. ML data platform engineers, DevOps engineers, and developers/operations staff with responsibility for operationalizing ML models will learn to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building an MLOps action plan for your organization.

course

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this three-day course, you’ll learn container management and orchestration for Kubernetes using Amazon EKS.

course

Security Engineering on AWS

Security Engineering on AWS will enable you with the skills and knowledge to safeguard your organization’s reputation and profits, and improve security operations.