Category: Analytics

Data is ubiquitous in businesses today, and the volume and speed of incoming data are constantly increasing. To derive insights from data, it’s essential to deliver it to a data lake or a data store and analyze it. Real-time or near-real-time data delivery can be cost prohibitive, therefore an efficient architecture is key for processing, […]

When deploying data lakes on AWS, you can use multiple AWS accounts to better separate different projects or lines of business. In this post, we see how the AWS Lake Formation cross-account capabilities simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control to the AWS Glue […]

As 2020 draws to a close, we’ve put together this post to walk you through all that’s changed in Amazon QuickSight this year. For your reading convenience, this post is broken up into the following sections: Embedded Analytics at scale Faster insights with Q & ML Business Intelligence (BI) with QuickSight Build Rich, Interactive Dashboards […]

The landscape of the telecommunications industry is changing rapidly. For telecom service providers (TSPs), revenue from core voice and data services continues to shrink due to regulatory pressure and emerging OTT players that offer an attractive alternative. Despite increasing demand from customers for bandwidth, speed, and efficiency, TSPs are finding that ROI from implementing new […]

Amazon QuickSight Enterprise edition now offers a new, session capacity-based pricing model starting at $250/month, with annual commitment options that provide scalable pricing for embedded analytics and BI rollouts to 100s of 1000s of users. QuickSight now also supports embedding dashboards in apps, websites, and wikis without the need to provision and manage users (readers) […]

June 2025: This post has been reviewed for accuracy and the following updates have been made: added new function to retrieve SQL query in the Lambda code; upgraded Python’s run time and version of sqlparse in the Lambda deployment package; added and removed actions in the Lambda policy; updated the CloudFormation template to reflect policy […]

Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. It’s a serverless platform with no need to set up or manage infrastructure. Athena scales automatically—running queries in parallel—so results are fast, even with large datasets and complex queries. You […]

November 2024: This post was reviewed and updated for accuracy. Many organizations are processing and analyzing clickstream data in real time from customer-facing applications to look for new business opportunities and identify security incidents in real time. A common practice is to consolidate and enrich logs from applications and servers in real time to proactively […]

In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first, to enable our users to quickly and accurately detect anomalies in their […]

AWS Glue provides a serverless environment to prepare (extract and transform) and load large amounts of datasets from a variety of sources for analytics and data processing with Apache Spark ETL jobs. This posts discusses a new AWS Glue Spark runtime optimization that helps developers of Apache Spark applications and ETL jobs, big data architects, […]