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  Nielsen: Processing 55TB of Data Per Day with AWS Lambda

  

  youtube.com

  ▶  Processing 55TB of Data Per Day with AWS Lambda — A case study video from AWS focusing on a customer doing data processing at scale on their AWS Lambda serverless platform. Sure, it’s a case study, but AWS always does a great job of putting them together with useful technical info.

  science & technology

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• Issue 323 - Postgres 13, TimescaleDB sustainability, and battleships in SQL

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  Massively Parallel Serverless Computing in AWS

  

  medium.com

  The Challenges of Massively Parallel Serverless Computing in AWS — A look at the design and...

  The Challenges of Massively Parallel Serverless Computing in AWS — A look at the design and challenges of implementing a massively parallel scientific data processing system on AWS to compute hurricane wind footprints in Fortran! Truly a case of old and new, big and small coming together.

  awsfortranparallel processingscientific computingserverless

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• Case Study: Processing Historical Weather Pattern Data With Python

  

  pbpython.com

  Case Study: Processing Historical Weather Pattern Data With Python This article is a case study showing how...

  Case Study: Processing Historical Weather Pattern Data With Python This article is a case study showing how to use Python to download and process historical temperature data in order to do analysis on the relationship between air temperature and power consumption. CHRIS MOFFITT

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  Using AWS Lambda as a consumer for Amazon Kinesis | Amazon Web Services

  

  amazon.com

  Using AWS Lambda as a Consumer for Amazon Kinesis — Some best practices when using Lambda...

  Using AWS Lambda as a Consumer for Amazon Kinesis — Some best practices when using Lambda with Kinesis for high-throughput, low latency data stream processing.

  amazon kinesisaws lambdaserverless

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