Data Council Blog

Data Council Blog

Apache Airflow, Beyond Spreadsheets, and More: Top 10 Links From Across the Web

Here's our July 2020 roundup of relevant links for data professionals, from blog posts to podcast episodes:

1. The State of Airflow

Software Engineering Daily recently invited Apache Airflow's creator Maxime Beauchemin and Astronomer engineers Vikram Koka and Ash Berlin-Taylor to discuss the state of Airflow. Listen to the podcast episode or read the transcript to hear their comments on Airflow's use cases, its purpose, the open source ecosystem, and more.

AGI, Dask, Feature Stores, and More: Top 10 Links From Across the Web

Here's our June 2020 roundup of relevant links for data professionals, from blog posts to podcast episodes:

1. Self-Supervised Learning vs. AGI

"AGI does not exist — there is no such thing as general intelligence. We can talk about rat-level intelligence, cat-level intelligence, dog-level intelligence, or human-level intelligence, but not artificial general intelligence," Yann LeCun declared during an online session of the International Conference on Learning Representation (ICLR) 2020, which VentureBeat wrote about. Together with fellow Turing Award winner Yoshua Bengio, he advocated for pursuing humanlike AI through "self-supervised learning."

Emerging Data Roles: The Analytics Engineer

Analytics Engineer: this term has started showing up in blog posts and job listings. It all happened quickly; just a couple of years ago, it wasn't a thing our friends in the data ecosystem talked about. So how did it start trending, what is it exactly, and is it here to stay? We decided to take a closer look, and here's what we found out.

Open Source Highlight: Cube.js

Cube.js is an open source analytics framework meant to answer the "lack of tools for software engineers who are building production, customer-facing applications and need to embed analytics features into these applications," its co-founder and CEO Artyom Keydunov explained in a blog post

25 Hot New Data Tools and What They DON’T Do

“Wait, do tool X and tool Y work together? I thought they were competitive.”

There are dozens of new tools in the fast-growing data ecosystem today. Together, they are reshaping data work in exciting, productive and often surprising ways. The seeds of the data landscape for the next decade have been planted, and they’re growing wildly.

Turns out, cultivating a new ecosystem is messy.

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