Category: Amazon Athena
Aha! is a leading roadmap software provider, helping more than 400,000 users build products and counting north of 5,000 companies as customers. Founded in 2013 with an entirely distributed team, the company puts customer needs at the heart of its business model. Read how the company was able to drive results by migration to Amazon Athena from BigQuery.
Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository. In part 2 of this series, he discusses how the infrastructure described above can be used for large scale machine learning applications and the ways to deploy them in production.
Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository.
In this post, gaming startup Mistplay will explain why and how they migrated from Firebase and BigQuery to Amazon S3 and Amazon Athena, and how this improved their analytics capability, cost structure, and operations.
As future data requirements cannot always be planned much ahead of time, data warehousing effort is generally subdued by first creating a data lake, which is a pool of centralized data ready to be transformed based on use cases. A means for accessing and analyzing this data makes it easier for knowledge workers to make good informed decisions. Here’s how Indian bus ticketing platform Redbus does it.
AWS Startup Solutions Architect Paul Underwood believes that a data lake is just another complex and heterogeneous infrastructure problem. In this post, he illustrates how you might build a data lake-as-code using the AWS Cloud Development Kit (CDK). Underwood will outline the strategy, core data lake services used, associated costs, and how you can tie it all together with code.
German software startup Baqend has developed Speed Kit as an SaaS solution for accelerating e-commerce websites. Here’s how they did it.
Founded in 2016, intermix.io enables data engineers with the tools they need to be successful. This in turn enables the data scientists to actually be successful. But how does the startup do it?
Yotam Spenser, Head of Data Engineering at WalkMe, discusses the nature of the WalkMe Insights product offering, some of the challenges that arose as they developed this technology, and how they came to a solution.
See how to set up a simple CloudTrail log analysis solution based on Amazon CloudSearch, a fully managed cloud-based search service.