Category: Analytics

Customers tell us they want to have stronger performance and lower costs for their data analytics applications and workloads. Customers also want to use AWS as a platform that hosts managed versions of their favorite open-source projects, which will frequently adopt the latest features from the open-source communities. With Amazon Athena engine version 3, we […]

Today, many companies are building real-time applications to improve their customer experience and get immediate insights from their data before it loses its value. As the result, companies have been facing increasing demand to provide data streaming services such as Apache Kafka for developers. To meet this demand, companies typically start with a small- or […]

In modern data architectures, it’s common to store data in multiple data sources. However, organizations embracing this approach still need insights from their data and require technologies that help them break down data silos. Amazon Athena is an interactive query service that makes it easy to analyze structured, unstructured, and semi-structured data stored in Amazon […]

To build a data lake on AWS, a common data ingestion pattern is to use AWS Glue jobs to perform extract, transform, and load (ETL) data from relational databases to Amazon Simple Storage Service (Amazon S3). A project often involves extracting hundreds of tables from source databases to the data lake raw layer. And for […]

In today’s world with technology modernization, the need for near-real-time streaming use cases has increased exponentially. Many customers are continuously consuming data from different sources, including databases, applications, IoT devices, and sensors. Organizations may need to ingest that streaming data into data lakes built on Amazon Simple Storage Service (Amazon S3). You may also need […]

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. Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving overall customer […]

Amazon QuickSight has launched a new user interface for dataset management. Previously, the dataset management experience was a popup dialog modal with limited space, and all functionality was displayed in this one small modal. The new dataset management experience replaces the existing popup dialog with a full-page experience, providing a clearer breakdown of a dataset’s […]

Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can […]

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. It’s serverless, so there’s no infrastructure to set up or manage. This post provides a step-by-step guide to build a continuous integration and continuous delivery (CI/CD) pipeline using AWS […]

Data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for all enterprise data and serve as a common choice for a large number of users querying from a variety of analytics and machine learning (ML) tools. Oftentimes you want to ingest data continuously into the data lake from multiple sources […]