FinAccel

FinAccel

"After experimenting with different ETL frameworks, we ended up using AWS Glue to power our day-to-day ETL processes. As easy as point and click, we are able to define and run ETL jobs in no time without complicated server provisioning. ETL-ing data from our data lake to our Redshift warehouse is just one of use case examples of AWS Glue. The transformed data is then fed to our BI tools to track important key metrics, and it also serves as a basis for our credit scoring models, which have credit scored millions of customers. Last but not least, in a hyper-growth startup like us, being cost-effective is essential. AWS Glue allows us to pay only for computing power that we need to run the jobs. It is amazing that leveraging AWS Glue has enabled our small team of data engineers to run the whole data infrastructure in our company."

Umang Rustagi, Co-founder and COO - FinAccel

Selected customer videos

Knowledgent's intelligent clinical trial application (7:41)

Ari Yacobi, Chief Data Scientist and Partner at Knowledgent, explains how they built an intelligent clinical trial application on AWS. You'll learn how they used Amazon S3 for data storage, AWS Glue for data cleansing, aggregation, integration, and feature extraction, and Amazon Athena and Amazon EMR to analyze data.

AWS re:Invent 2017: Building serverless ETL pipelines with AWS Glue (50:52)

After an introduction to AWS Glue, Merck shares how they built an end-to-end ETL pipeline for their application release management system, and launched it in production in less than a week using AWS Glue.

Selected customer successes

21st Century Fox
News Corp
Apps Associates
OLX Group
OST
myTomorrows
Full 360
Upserve
Merck
Expedia
Autodesk
Docomo
HappyFresh
Pilot Flying
Unicorn
MediaMath
Amazon PrimeAir
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