Saturday, December 4, 2021
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Data Integration

Product Scoop November 2021

Read Time: 8 minutes The leaves are only dropping in the northern hemisphere, but new Workato features are dropping worldwide. Leading the pack this...

Data Engineering

Building confidence in a decision

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, Michael Lindon, and Colin McFarland This is the fifth post in a multi-part series on how...

Malbec subsea cable connects Argentina and Brazil with the rest of the world

Meta, in partnership with GlobeNet, has launched Malbec, a 2,500 km subsea cable that connects the Brazilian cities of Rio de Janeiro and São...

Bringing AV1 Streaming to Netflix Members’ TVs

by Liwei Guo, Ashwin Kumar Gopi Valliammal, Raymond Tam, Chris Pham, Agata Opalach, Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free...

Database Management

Cloud Computing

Using Google Cloud Service Account impersonation in your Terraform code

Terraform is one of the most popular open source infrastructure-as-code tools out there, and it works great for managing resources on Google Cloud.  When...

Top developer takeaways from AWS re:Invent 2021

Cloud giant Amazon Web Services may have turned the dial of its annual AWS re:Invent jamboree more towards business executives and less towards the...

Data Analytics and Visualization

Speeding up your Python data pipelines with Cython and Nim

How Cython or Nim can help you get more from Python and achieve better performance Continue reading on Hacking Analytics » Read MoreHacking Analytics - Medium

Machine Learning in Production — How to Operate a Model factory

How to leverage MLOps principles for more impactful machine learning initiatives Continue reading on Hacking Analytics » Read MoreHacking Analytics - Medium

Fall 2021 Analytics Accelerator Summit

Wharton Customer Analytics Updates Fall 2021 Analytics Accelerator Summit This Fall, Wharton Customer Analytics (WCA) successfully hosted its seventh Analytics Accelerator. Over the course of nine weeks,...

Scaling with Pandas beyond the millions (of records)

Typically, Pandas find its' sweet spot in usage in low- to medium-sized- to medium-sized datasets up to a few million rows. Beyond this… Continue reading...