Engineering at Meta

DECEMBER 19, 2023

On July 5, 2023, Meta launched Threads, the newest product in our family of apps, to an unprecedented success that saw it garner over 100 million sign ups in its first five days. A small, nimble team of engineers built Threads over the course of only five months of technical work. While the app’s production launch had been under consideration for some time, the business finally made the decision and informed the infrastructure teams to prepare for its launch with only two days’ advance notice.

Engineering 144

Engineering Server Data Centers Protocol 144

databricks

DECEMBER 19, 2023

Request a meeting with Databricks executives/thought leaders at NRF! Each January, thousands of leaders from retailers around the globe gather at Javits Center.

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93

Engineering at Meta

DECEMBER 19, 2023

HawkEye is the powerful toolkit used internally at Meta for monitoring, observability, and debuggability of the end-to-end machine learning (ML) workflow that powers ML-based products. HawkEye supports recommendation and ranking models across several products at Meta. Over the past two years, it has facilitated order of magnitude improvements in the time spent debugging production issues.

Engineering 121

Engineering Application 121

Dataversity

DECEMBER 19, 2023

In part one of this blog post, we described why there are many challenges for developers of data pipeline testing tools (complexities of technologies, large variety of data structures and formats, and the need to support diverse CI/CD pipelines). More than 15 distinct categories of test tools that pipeline developers need were described. Part two delves […] The post Choosing Tools for Data Pipeline Test Automation (Part 2) appeared first on DATAVERSITY.

Education 64

Education 64

Packet Pushers

DECEMBER 19, 2023

The difference between training and education is signficant and technology industry often conflates these terms. They are vastly different ways to providing learning and we dive into why we need more education and less training. The difference between training and education is signficant and technology industry often conflates these terms. They are vastly different ways to providing learning and we dive into why we need more education and less training.

Education 52

Education 52

TDAN

DECEMBER 19, 2023

One of the reasons why there’s always excess production in the textile sector is the stringent requirement of meeting set quality standards. It’s a simple case of accepting or rejecting a shipment, depending on whether it meets the requirements.

Healthcare 52

Healthcare Education 52

Confluent

DECEMBER 19, 2023

Legacy data systems often power travel experiences, such as on cruise lines, but modern customers want real-time experiences online. Here's how to think about data integration with data streaming for travelers.

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TDAN

DECEMBER 19, 2023

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean? What is the actual business value of data and information? How can this value be measured? How do we manage data and information as assets?

Education 52

Education 52

TDAN

DECEMBER 19, 2023

Setting the Stage: Data as a Business Asset This column presents a new model for licensing and sharing data, one that I call the “Decision Rights Data Licensing Model” (or the “Decision Rights Model,” in a shorter form) and one that has been met with acceptance in commercial transactions.

Government 52

Government Education 52

TDAN

DECEMBER 19, 2023

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really had to pause for a bit. First, I’m kind of jaded by the term “best practices.

Education 52

Education 52

TDAN

DECEMBER 19, 2023

Data protection, as the term implies, refers to the safeguarding of personal data from unauthorized access, disclosure, alteration, or destruction. Data protection revolves around the principles of integrity, availability, and confidentiality. Integrity ensures that data remains accurate and consistent during its lifecycle.

Government 52

Government Education 52