AWS Big Data Blog

Category: Learning Levels

Enhance operational insights for Amazon MSK using Amazon Managed Service for Prometheus and Amazon Managed Grafana

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an event streaming platform that you can use to build asynchronous applications by decoupling producers and consumers. Monitoring of different Amazon MSK metrics is critical for efficient operations of production workloads. Amazon MSK gathers Apache Kafka metrics and sends them to Amazon CloudWatch, where you can […]

Reduce Amazon EMR cluster costs by up to 19% with new enhancements in Amazon EMR Managed Scaling

In June 2020, AWS announced the general availability of Amazon EMR Managed Scaling. With EMR Managed Scaling, you specify the minimum and maximum compute limits for your clusters, and Amazon EMR automatically resizes your cluster for optimal performance and resource utilization. EMR Managed Scaling constantly monitors key workload-related metrics and uses an algorithm that optimizes the […]

Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. We are continuously investing to make analytics easy with Redshift by simplifying SQL constructs and adding new operators. Now we are adding […]

Build a real-time GDPR-aligned Apache Iceberg data lake

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. But regulations such as the General Data Protection Regulation (GDPR) have created obligations for data operators who must be able to erase or […]

Introducing AWS Glue crawlers using AWS Lake Formation permission management

Data lakes provide a centralized repository that consolidates your data at scale and makes it available for different kinds of analytics. AWS Glue crawlers are a popular way to scan data in a data lake, classify it, extract schema information from it, and store the metadata automatically in the AWS Glue Data Catalog. AWS Lake […]

Configure ADFS Identity Federation with Amazon QuickSight

Amazon QuickSight Enterprise edition can integrate with your existing Microsoft Active Directory (AD), providing federated access using Security Assertion Markup Language (SAML) to dashboards. Using existing identities from Active Directory eliminates the need to create and manage separate user identities in AWS Identity Access Management (IAM). Federated users assume an IAM role when access is requested through an […]

Control access to Amazon OpenSearch Service Dashboards with attribute-based role mappings

Federated users of Amazon OpenSearch Service often need access to OpenSearch Dashboards with roles based on their user profiles. OpenSearch Service fine-grained access control maps authenticated users to OpenSearch Search roles and then evaluates permissions to determine how to handle the user’s actions. However, when an enterprise-wide identity provider (IdP) manages the users, the mapping […]

A hybrid approach in healthcare data warehousing with Amazon Redshift

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Loading complex multi-point datasets into a […]

Build a data storytelling application with Amazon Redshift Serverless and Toucan

This post was co-written with Django Bouchez, Solution Engineer at Toucan. Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. It provides business analysts and managers with a visualization of the business’s past and current state, helping leaders make strategic decisions that dictate the […]

Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. QuickSight provides easy integration with Amazon Redshift, providing […]