AWS Startups Blog

Tag: Big Data

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Accelerate Drug Discovery in Pharma R&D with Stardog

The only way for pharmaceutical companies to counteract today’s unprecedented changes is to extract better insight from their existing data and to develop systems that allow for more rapid decision making. Making better use of data up front will help these companies access data from across silos and then more quickly decide which therapies to pursue in the drug development process.

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redBus: Building a Data Platform with AWS & Apache Software Foundation

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.

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A Data Lake as Code, Featuring ChEMBL and OpenTargets

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.

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The Untapped Potential of Cloud Computing for Healthcare and Life Science Startups in Germany

The amount of healthcare data globally is increasing at a rapid scale. Germany has missed much of this revolution and lags behind other countries with regard to electronic health records and e-prescriptions, but it’s starting to open up. To ensure the country is not further hampered by a lack of digitization experience, providers, payers, patients, pharma companies and startups should look to cloud computing technology to help bridge the gap.

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