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Where programming languages are headed in 2020

O'Reilly

As we enter a new decade, we asked programming experts?—including We checked in with Jim Blandy , coauthor of Programming Rust , to see how his vision of Rust’s progress changed over the course of 2019. Big releases may be on the horizon in 2020 for certain languages—C++20 will be released this summer and Scala 3.0

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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

His favorite TV shows: Ozark, Breaking Bad, Black Mirror, Barry, and Chernobyl Since I joined Netflix back in 2011, my favorite project has been designing and building the first version of our entertainment knowledge graph. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

While working on my PhD in political science, I realized my curiosity was always more piqued by methodological coursework, which led me to take as many stats/data science courses as I could. Later I enrolled in a data science program focused on helping academics transition to industry roles.

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AIOps observability adoption ascends in healthcare

Dynatrace

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. As a result, members remain engaged with their health programs and can turn potentially negative customer experiences into positive ones. Gartner introduced the concept of AIOps in 2016.

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The next generation of developer productivity

O'Reilly

Finally, we wanted to know specifically about the effect of GitHub Copilot, ChatGPT, and other AI-based programming tools. It’s also significant that making a commitment to a new way of programming—and these tools are nothing if not a new kind of programming—is a much bigger change than, say, signing up for a ChatGPT account.

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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Such a combination requires new abstractions and programming models for effective management.

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The 6 Rules for Achieving (and Maintaining) High Availability

VoltDB

In the age of big-data-turned-massive-data, maintaining high availability , aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word. The Volt Active Data platform is designed to let you make lots of reliable decisions, very quickly, at scale.