Thu.Dec 19, 2024

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Introducing Configurable Metaflow

Netflix Tech

David J. Berg * , David Casler ^, Romain Cledat * , Qian Huang * , Rui Lin * , Nissan Pow * , Nurcan Sonmez * , Shashank Srikanth * , Chaoying Wang * , Regina Wang * , Darin Yu * *: Model Development Team, Machine Learning Platform ^: Content Demand ModelingTeam A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases , managing thousands of unique Metaflow flows.

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Queues in Apache Kafka®: Enhancing Message Processing and Scalability

Confluent

Queue support in Apache Kafka 4.0, enabled by share groups, lets you accommodate traditional queue-type workloads through cooperative consumption.

Kafka 136
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Semantic Layer and AI: The Future of Data Querying with Natural Language

Simon Späti

Data-driven decision-making is crucial for business success, but organizations face a growing challenge of complexity and data governance. These challenges make it difficult to access data in a unified way. In Part 1 , we explored the semantic layer through the lens of MVC, and in Part 2 , we outlined its benefits. In this final piece of the series, we examine the integration of a semantic layer with artificial intelligence and why it might be the best place to start with GenAI.

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How to Use Docker for Local Development Environments

KDnuggets

Using Docker for local development brings stability, flexibility, and ease of management of the environment. No matter what operating system you're using. Learn how to use Docker on Windows, Linux, and macOS to simplify your development setup, from creating your first container to managing complex environments with Docker Compose.

Systems 126
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Philadelphia Union: Streamlining MLS Roster Planning with GenAI

databricks

Staying competitive in Major League Soccer (MLS) demands building and maintaining a strong squad through strategic roster planning and smart, effective navigation of.

Building 111
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6 Ways to Improve Your Predictive Models in Data Science

KDnuggets

Whether you aim for building the perfect image classifier, sales predictor, or price estimator, these six pracitcal tips and insights will help you get there!

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December 2024 Top Ten (by Dagster Labs)

Data Council

Hey Data Council-ers! I'm Pedram Navid, Chief Dashboard Officer at Dagster Labs, the modern data orchestrator for data engineers building data platforms. I'm excited to share some recent articles I've had my eye on these past few weeks.

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Databricks Assistant Year in Review

databricks

Since its launch in 2023, Databricks Assistant has grown to hundreds of thousands of monthly users, including developers at major enterprises like Rivian.

IT 87
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Indexing code at scale with Glean

Engineering at Meta

Were sharing details about Glean , Metas open source system for collecting, deriving and working with facts about source code. In this blog post well talk about why a system like Glean is important, explain the rationale for Gleans design, and run through some of the ways were using Glean to supercharge our developer tooling at Meta. In August 2021 we open-sourced our code indexing system Glean.

Coding 78
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Key Takeaways from AWS re:Invent 2024

Cloudera

AWS re:Invent is one of my favorite trade shows. It is one of the biggest technology conferences of the year and is an opportunity to have hundreds of conversations with customers and prospects, listen to their priorities and challenges, hopes, and give them a Cloudera tote bag or a pair of orange sunglasses. What follows is a collection of just a few things I learned and observed during my week in Las Vegas.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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OLTP vs OLAP: What are the Major Differences Between the Two?

Hevo

Data is utilized in almost all domains today, from designing products/services to delivering top-notch customer services. There are two approaches to processing data for business operations: OLAP and OLTP. OLAP is used for complex querying using a structured language, while OLTP facilitates real-time online transactions at scale.