AWS Big Data Blog

How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

This is a guest post co-written with Parag Doshi, Guru Havanur, and Simon Guindon from Tricentis. Tricentis is a global leader in continuous testing for DevOps, cloud, and enterprise applications. It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more […]

Architecture diagram for the Athena WebSocket API. The user connects to the API through API Gateway. API Gateway uses Lambda and DynamoDB to store session data. SQL queries are routed to Amazon Athena and a Step Function polls for query status and returns the results back to the user.

Access Amazon Athena in your applications using the WebSocket API

In this post, we present a solution that can integrate with your front-end application to query data from Amazon S3 using an Athena synchronous API invocation. With this solution, you can add a layer of abstraction to your application on direct Athena API calls and promote the access using the WebSocket API developed with Amazon API Gateway. The query results are returned back to the application as Amazon S3 presigned URLs.

Use Apache Iceberg in a data lake to support incremental data processing

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has […]

Visualize database privileges on Amazon Redshift using Grafana

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data. As more users start querying data in a data warehouse, access control is paramount to protect valuable organizational […]

Build a semantic search engine for tabular columns with Transformers and Amazon OpenSearch Service

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. The inability to accurately find and analyze data from disparate sources represents a potential efficiency killer for everyone from data scientists, medical researchers, academics, to financial and government analysts. Conventional […]

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 […]

Patterns for enterprise data sharing at scale

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. Some organizations would like to have a data sharing platform where they can establish a collaborative and strategic approach to exchange data […]

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 […]