Using Amazon Web Services for big data – thoughts from re:Invent 2016

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Back in November we blogged about our resident data expert Richard Freeman, who had been named TechUK’s October Data Hero. Well he’s been at it again after spending time at re:Invent 2016. So we invited Richard to share his story of the annual gathering of the global Amazon Web Services community from Las Vegas.

“It was a massive event and the buzz was palpable given that re:Invent saw someĀ 30,000 people participating in 500+ sessions in three hotels in Las Vegas, with many new exciting services announced!

I was really proud to have participated in the event through sharing our knowledge and experience on building a big data and data science platform in AWS. As an invited guest speaker in the big data plenary state of the union session (#BDM205) I also held two one-hour advanced breakout sessions (#BDM303) focusing on event-driven and serverless big data patterns that can be reused in any organisation. You can watch the video for this below.

BDM303 – JustGiving: Serverless Data Pipelines, Event-Driven ETL, and Stream Processing

JustGiving has been innovating on AWS for a number of years and here are just a few examples you can read up on:


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Jamie Parkins

Product Manager, Evangelist and all things API

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