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177: The Cloud Pod Hopes That Amazon Knows the Three Laws of iRobots
Episode 177

177: The Cloud Pod Hopes That Amazon Knows the Three Laws of iRobots

On The Cloud Pod this week, the team gets judicial on the Microsoft-Unity partnership. Plus: Amazon acquires iRobot, BigQuery boasts Zero-ETL for Bigtable data, and Serverless SQL for Azure Databricks is in public preview. A big thanks to this week’s sp

The Cloud Pod | Weekly AI & Cloud News on AWS, Azure & GCP · Justin Brodley, Jonathan Baker, Ryan Lucas and Matt Kohn | Cloud Computing & AI News

August 20, 202256m 34s

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Show Notes

On The Cloud Pod this week, the team gets judicial on the Microsoft-Unity partnership. Plus: Amazon acquires iRobot, BigQuery boasts Zero-ETL for Bigtable data, and Serverless SQL for Azure Databricks is in public preview. 

A big thanks to this week’s sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure.

This week’s highlights

  • iRobot signs an agreement with Amazon for its acquisition. To what end remains known to Amazon and Amazon alone.
  • Google offers a Zero-ETL approach for Bigtable data analytics using BigQuery.
  • Serverless SQL for Azure Databricks is now in public preview.

Top Quotes  

  • “Almost all of Amazon’s big acquisitions have always been about something indirect. The Whole Foods acquisition was really about the logistics supply chain behind the scenes of moving that around — they kept the brand … and they have the same footprint for stores … but now they have a lot more infrastructure for AmazonFresh. And I suspect for iRobot it’s the same thing.”
  • “This is super handy for huge datasets where you want to track trends over a long time. It’s always really difficult and you always end up compromising somewhere — by not loading or querying your full dataset, because you can’t get it from A to B, or trying to run the query against two separate data sets and combining the results. So this is a nice thing to have for those users who have data across these multiple places.”

AWS: We, Robots

GCP: It’s A Big World Out There