AWS big data and data analytics news, help and research

AWS big data and data analytics News

March 24, 2021 24 Mar'21
Amazon Care expands as demand for big tech regulation grows

Amazon expands its healthcare delivery service Amazon Care against the growing interest in telehealth and the growing intensity of big tech regulation.
December 03, 2020 03 Dec'20
Enabled by AWS, Vyaire ramps up production of ventilators

When demand for ventilators increased exponentially due to COVID-19, a developer of respirators turned to analytics tools from AWS to help determine how to meet the sudden need.
December 02, 2020 02 Dec'20
Price differentiates Amazon QuickSight, but capabilities lag

New embedded analytics capabilities highlight the latest additions to the QuickSight platform, but despite improving capabilities, its low cost remains its key attraction.
October 01, 2019 01 Oct'19
AWS faces Elasticsearch lawsuit for trademark infringement

In a new lawsuit, Elasticsearch alleges that AWS committed trademark infringement and false advertising in connection with services associated with Elasticsearch, the popular search and analytics platform.

Bring yourself up to speed with our introductory content

Amazon Athena

Amazon Athena is a service that enables a data analyst to perform interactive queries in the web-based cloud storage service, Amazon Simple Storage Service (S3). Continue Reading
Amazon QuickSight

Amazon QuickSight is a machine learning-powered business intelligence service built for the cloud under the Amazon Web Services (AWS) umbrella. Continue Reading
AWS Glue

AWS Glue is a cloud service that prepares data for analysis through automated extract, transform, load (ETL) processes. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

What you need to know about Cloudera vs. AWS for big data

Enterprises in need of a big data platform must run some analytics of their own to choose a vendor. AWS' integration between services can't be beat, but is Cloudera a better choice? Continue Reading
A complete guide to AWS re:Invent 2018 news and analysis

AWS re:Invent 2018 is sure to generate a number of important updates for enterprise cloud users. Stay on top of the latest news and analysis with this complete conference guide. Continue Reading
Compare AWS data lakes with S3 against HDFS

An S3 data lake streamlines the analysis of data that lives exclusively on AWS infrastructure but presents limitations for those who want to move beyond the Amazon ecosystem. Continue Reading

Learn to apply best practices and optimize your operations.

How to use Athena to troubleshoot AWS operations issues

Amazon Athena runs analysis against data stored in S3, where AWS admins can find a trove of ops data for troubleshooting and optimization. Use it on ELB, VPC and other services. Continue Reading
Use AWS IoT device shadows to improve app-device communication

IoT apps are only as good as the data they collect. Shadows can help improve communications between the app and its related devices, so things don't go awry when network issues arise. Continue Reading
Try this data science experiment for deep learning insights

Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Improve query performance, cut costs with Amazon Athena

Amazon Athena can query more data formats than its competitor Google BigQuery, but developers must choose easy-to-process formats to enjoy Athena's benefits. Continue Reading
Work through AWS serverless architecture issues and caveats

As more serverless configuration and management tools emerge, developers still struggle to deploy serverless architectures. Serverless expert Peter Sbarski shares insights on Lambda and its future. Continue Reading
How do Hadoop coding errors disrupt big data processing?

Hadoop coding oversights can wreak havoc on big data projects. What Hadoop limitations should we be wary of with data input and output? Continue Reading