By Merve Soner, SaaS Business Lead at AWS Exasol Exasol is an AWS Data and Analytics Competency Partner that provides a high performance in-memory analytics database to give organizations the power to transform how they work with data and turn it into value faster, easier, and more cost effectively. Recognized Read more…
Thank you for joining us in Las Vegas for AWS re:Invent 2021. We hope you are enjoying all of the educational content and big announcements! If you missed anything this week or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available Read more…
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. In November 2020, Athena announced the Read more…
This is a guest post by Lucerna Health. Founded in 2018, Lucerna Health is a data technology company that connects people and data to deliver value-based care (VBC) results and operational transformation. At Lucerna Health, data is at the heart of our business. Every day, we use clinical, sales, and Read more…
Amazon Redshift is a fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using SQL and your extract, transform, and load (ETL), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day Read more…
Today we’re happy to announce Amazon EMR Serverless, a new option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run applications built using open-source frameworks such as Apache Spark, Hive, and Read more…
With AWS re:Invent just around the corner, we at the Amazon QuickSight team have put together this post to provide you with a handy list of all the key updates this year. We’ve broken this post into three key sections: insights for every user, embedded analytics with QuickSight, scaling and Read more…
GIGO (garbage in, garbage out) is a concept common to computer science and mathematics: the quality of the output is determined by the quality of the input. In modern data architecture, you bring data from different data sources, which creates challenges around volume, velocity, and veracity. You might write unit Read more…
Amazon QuickSight allows data owners and authors to create and model their data in QuickSight using datasets, which contain logical and semantic information about the data. Datasets can be created from a single or multiple data sources, and can be shared across the organization with strong controls around data access Read more…
By Diego Colombatto, Partner Solution Architect – AWS By Souvik Khamaru, Executive Security Architect – IBM Cloud Security Centre of Competency IBM This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary Read more…