Architecture Best Practices for Analytics & Big Data

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Featured topic: Data Lakes

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What is a data lake?

A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.

Cost Modeling Data Lakes for Beginners

Learn to understand and address the first challenge of your data lake journey: how much will it cost?

AWS Well-Architected Data Analytics Lens

We will help you create and operate a data lake in a secure and scalable way, without previous knowledge of data science.
Introduction to Designing Data Lakes in AWS

Learn how to ingest and organize data into the Data Lake, and dive into the data processing that can optimize performance and costs.

Designing a Data Lake for Growth and Scale

We explain the common scaling challenges that can occur when growing data lakes and approaches for onboarding data producers and consumers.

Design Patterns for an Enterprise Data Lake

We walk through the most common design patterns adapted by enterprises to build lake house solutions using AWS Lake Formation.
Create a Data Lake from an AWS CloudTrail Source

We show you how to use the AWS Lake Formation console to create and load your first data lake from an AWS CloudTrail source.

Deploy and Manage a Serverless Data Lake

We describe how to use serverless computing and infrastructure as code (IaC) to implement and administer a data lake on the AWS Cloud.

Build a Lake House Architecture on AWS

We present how to build a Lake House architecture that enables you to get insights from exponentially growing data volumes.
Data Lake on AWS

Deploy a highly available, cost-effective data lake architecture along with a user-friendly console for searching and requesting datasets.

Data Lake Foundation on AWS

Launch a data lake foundation that you can augment with independent software vendors and SaaS tools.

Data Lake with SnapLogic on AWS

Build a data lake environment using a combination of components from SnapLogic, a data integration platform, and AWS services.
Monitoring and Optimizing the Data Lake Environment

Learn how to monitor the operations of your data lake, making sure that it meets performance expectations and service-level agreements.

Simplifying Permissions and Governance in Your Data Lake

We explain how to save time and reduce effort around data lake governance, including how to use fine-grain security controls across data lakes.

Best Practices to Optimize Data Access Performance

We describe best practices to achieve the performance scaling you need when analyzing data in Amazon S3 using Amazon EMR and AWS Glue.

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