AWS Big Data Blog

Category: Learning Levels

Announcing AWS Glue crawler support for Snowflake

For data lake customers who need to discover petabytes of data, AWS Glue crawlers are a popular way to scan data in the background, so you can focus on using the data to make better intelligent decisions. You may also have data in data warehouses such as Snowflake and want the ability to discover the […]

Use Karpenter to speed up Amazon EMR on EKS autoscaling

Amazon EMR on Amazon EKS is a deployment option for Amazon EMR that allows organizations to run Apache Spark on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, the Spark jobs run on the Amazon EMR runtime for Apache Spark. This increases the performance of your Spark jobs so that they run faster […]

Use an event-driven architecture to build a data mesh on AWS

In this post, we take the data mesh design discussed in Design a data mesh architecture using AWS Lake Formation and AWS Glue, and demonstrate how to initialize data domain accounts to enable managed sharing; we also go through how we can use an event-driven approach to automate processes between the central governance account and […]

How Hudl built a cost-optimized AWS Glue pipeline with Apache Hudi datasets

This is a guest blog post co-written with Addison Higley and Ramzi Yassine from Hudl. Hudl Agile Sports Technologies, Inc. is a Lincoln, Nebraska based company that provides tools for coaches and athletes to review game footage and improve individual and team play. Its initial product line served college and professional American football teams. Today, […]

How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. SOCAR is the leading Korean mobility company with strong competitiveness in car-sharing. SOCAR has become a comprehensive mobility platform in collaboration with Nine2One, an e-bike sharing service, […]

Field-level security in Amazon OpenSearch Service

Amazon OpenSearch Service is fully open-source search and analytics engine that securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. But what if you have personal identifiable information (PII) data in your log data? How do you control and audit […]

Reduce cost and improve query performance with Amazon Athena Query Result Reuse

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run on datasets at petabyte scale. You can use Athena to query […]

Microservice observability with Amazon OpenSearch Service part 1: Trace and log correlation

Modern enterprises are increasingly adopting microservice architectures and moving away from monolithic structures. Although microservices provide agility in development and scalability, and encourage use of polyglot systems, they also add complexity. Troubleshooting distributed services is hard because the application behavioral data is distributed across multiple machines. Therefore, in order to have deep insights to troubleshoot […]

Retain more for less with tiered storage for Amazon MSK

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real-time. Amazon MSK allows you to build and run production applications on Apache Kafka without needing Kafka infrastructure management expertise or having to deal with the complex overheads associated with running Apache Kafka on your […]

Measure the adoption of your Amazon QuickSight dashboards and view your BI portfolio in a single pane of glass

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service. If you plan to deploy enterprise-grade QuickSight dashboards, measuring user adoption and usage patterns is an important ingredient for the success of your BI investment. For example, knowing the usage patterns like geo location, department, and job role can help you fine-tune your dashboards […]