Upcoming events: A Conversation with Haseeb Qureshi at Cloudflare on April 3, 2019 FindCollabs Hackathon at App Academy on April 6, 2019 Data engineering touches every area of an organization. Engineers need a data platform to build search indexes and microservices. Data scientists need data pipelines to build machine learning models. Business analysts need flexible

Apache Superset with Maxime Beauchemin

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OAuth is an open standard for access delegation. It lets users grant websites or applications access to their information on other websites, but without giving away passwords. OpenID Connect is an identity layer on top of OAuth. Even if you haven’t programmed using OAuth and OpenID Connect, you’ve certainly used them for authentication on Google,

Authlete and Making OAuth Accessible with Justin Richer

Today, you can access Netflix on virtually any device. For a Netflix user, this seamless experience can be easy to take for granted, but it requires an enormous engineering effort. Jay Phelps is a Senior Software Engineer at Netflix where he works on Shared Client Foundations. He joins the show to talk about the start

Netflix Engineering with Jay Phelps

Snowflake is one of the most prominent platforms for interacting with data and building data-intensive applications. Dan Myers works in Developer Relations at Snowflake and he joins the show to talk about the future of application development, and building native data apps on the platform. Sean’s been an academic, startup founder, and Googler. He has

Data Applications on Snowflake with Daniel Myers

Kaze Emanuar is a ROM hacker who’s famous for the array of mods he’s made for Super Mario 64. He’s implemented remarkable optimization to the decompiled game code, even pushing Super Mario 64 to run at 60 frames per second. Kaze joins the show to talk about his interest in Super Mario 64, ROM hacking,

Bonus Episode: Optimizing Nintendo 64 Code with Kaze Emanuar

Managing data and access to data is one of the biggest challenges that a company can face. It’s common for data to be siloed into independent sources that are difficult to access in a unified and integrated way. One approach to solving this problem is to build a layer on top of the heterogenous data

Apache Superset with Maxime Beauchemin

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