KDnuggets

JANUARY 16, 2025

Want to become an NLP pro by 2025? Check out these top free courses and learn from experts whove shaped the future of language models.

134

134

Snowflake

JANUARY 16, 2025

Large language models (LLMs) are at the heart of generative AI transformations, driving solutions across industries from efficient customer support to simplified data analysis. Enterprises need performant, cost-effective and low-latency inference to scale their gen AI solutions. Yet, the complexity and computational demands of LLM inference present a challenge.

Algorithm 95

Algorithm Data Analysis Building Process 95

Engineering at Meta

JANUARY 16, 2025

Do types actually make developers more productive? Or is it just more typing on the keyboard? To answer that question were revisiting Diff Authoring Time (DAT) how Meta measures how long it takes to submit changes to a codebase. DAT is just one of the ways e measure developer productivity and this latest episode of the Meta Tech Podcast takes a look at two concrete use cases for DAT, including a type-safe mocking framework in Hack.

Engineering 109

Engineering IT 109

Snowflake

JANUARY 16, 2025

AI is proving that its here to stay. While 2023 brought wonder, and 2024 saw widespread experimentation, 2025 will be the year that manufacturing enterprises get serious about AI's applications. But its complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AIs biggest cheerleaders are turning a bit dour. How to navigate such a landscape is top of mind for me and top executives such as Snowflakes CEO, Sridhar Ramaswamy; Snowflakes Distinguished AI Engine

Manufacturing 97

Manufacturing Cloud Engineering IT 97

Advertisement

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

Precisely

JANUARY 16, 2025

The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in the report, published in partnership between Precisely and Drexel Universitys LeBow College of Business. This years report is filled with actionable strategic insights from over 550 leading data and analytics professionals worldwide and its going to be an essential resource as you plan your 2025 data

Data Integration 52

Data Integration Data Programming Data Programming 52

KDnuggets

JANUARY 16, 2025

Need a simple way to scale Python applications? Ray makes distributed computing easy for tasks like machine learning and data processing.

Machine Learning 112

Machine Learning Python Data Process Process 112

Towards Data Science

JANUARY 16, 2025

Questions that guide architectural decisions to balance functional requirements with non-functional ones, like latency and scalability Continue reading on Towards Data Science

Data Solutions 84

Data Solutions Data Science Architecture Data 84

ArcGIS

JANUARY 16, 2025

Learn about new functionality available in the latest release of these products.

Transportation 65

Transportation 65

Towards Data Science

JANUARY 16, 2025

Data Analyst is probably the most underrated job in the data industry Continue reading on Towards Data Science

Data Science 83

Data Science Data Data Analysis Data Engineering 83

Confluent

JANUARY 16, 2025

Effective supply chain management relies on the ready availability of well-governed, real-time data. Learn how Confluent facilitates supply chain optimization.

Government 64

Government Data Management 64

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.

Data