Tag Archives: Data Engineering

AWS Architectures

AWS “this is my architecture” show is about interactions with Data Engineers from AWS customers who have used their services to build data platforms for their organization. On the show, they provide their point of view on the solution construct, describe the process, the best practices followed & their future roadmap. Learn more at https://aws.amazon.com/this-is-my-architecture/

This week I would be reviewing some the videos on their portal and shall include the top ones on this page.

  • Engineer at Trainline shares the story of BusyBot, which they took from initial concept to live deployment in 3 months on AWS. BusyBot helps Trainline users find an available seat on the train. It used machine learning to make a prediction based on past data and was built using AWS Firehose, Lambda, S3, EC2, and API Gateway.

Moolah for Hevo Data

Hevo Data | Cloud based Data Integrator

Hevo Data (HD) is a Cloud-Based data integration platform that analyzes data from many sources.
For example; If order volume started to drop in one area, the team would look at web and ad traffic, customer engagement and feedback, as well as activity by competing services. That meant they needed to draw on data from Google Analytics, Mixpanel, Zendesk or Salesforce, which had to be organized and formatted first. This is a time-consuming process, and without a data integration platform, small to medium-sized companies may only be able to analyze data once or twice a week.
They plan to reduce the amount of time needed to prepare data; from weeks to a few minutes.
Their solutions would get the data ready for machine learning algorithms; since those algorithms are only as good as their training data.
They are Cloud-Neutral, so users can run it on whatever cloud platform they use, including Amazon AWS, Google Cloud Platform, and Microsoft Azure. It also offers an on-premise version of its platform for larger companies that have a private cloud.

source: TechCrunch

Hevo Data gets $1M in seed funding to streamline data integration