KDnuggets

MAY 8, 2025

STAR isnt suitable for technical jobs, so how do you answer behavioral interview questions while still showing youre a data scientist?

Data 73

Data 73

Snowflake

MAY 8, 2025

Data providers want their data available to their customers, no matter where in the world or on which cloud service provider the customer is located. However, egress costs can contribute up to 70% of total data transfer costs. Providers have historically had to balance the desire to increase the availability of their data to any relevant Snowflake regions with the need to manage egress costs.

AWS 70

AWS Cloud Algorithm Data Security 70

Engineering at Meta

MAY 8, 2025

Meta and NVIDIA collaborated to accelerate vector search on GPUs by integrating NVIDIA cuVS into Faiss v1.10 , Metas open source library for similarity search. This new implementation of cuVS will be more performant than classic GPU-accelerated search in some areas. For inverted file (IVF) indexing, NVIDIA cuVS outperforms classical GPU-accelerated IVF build times by up to 4.7x; and search latency is reduced by as much as 8.1x.

Algorithm 89

Algorithm Datasets Machine Learning Database 89

KDnuggets

MAY 8, 2025

Breaking into data science has never been easy. In this tutorial, well make your life easier by providing you with a step-by-step roadmap for data science beginners.

Data Science 94

Data Science Data 94

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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

Edureka

MAY 8, 2025

When you purchase online, do you ever find yourself pondering how your tastes get changed into suggestions for products that are uniquely suited to you? Or how self-driving cars get through very complicated situations with amazing accuracy? These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives.

Data Engineer 52

Data Engineer Data Engineering Engineering Telecommunication 52

Snowflake

MAY 8, 2025

We are thrilled to announce that as part of our strategic partnership with Anthropic, Snowflake customers will now have access to Claude 3.7 Sonnet in Snowflake Cortex AI. Anthropic and Snowflake entered a multi-year partnership in November 2024 to help enterprises develop and scale easy, efficient and trusted AI products, starting with the launch of Claude 3.5.

Unstructured Data 98

Unstructured Data Coding Government Structured Data 98

Snowflake

MAY 8, 2025

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Data 52

Data 52

Precisely

MAY 8, 2025

Where do you need your data most and how easily can you access it? I ask because getting trusted third-party data into your preferred environment has always been harder than it should be. It often involves downloading files, managing cumbersome ingestion processes, troubleshooting formatting issues, and manually stitching everything together only to repeat the process with every new update.

Cloud 64

Cloud Google Cloud IT Datasets 64

Scott Logic

MAY 8, 2025

Adopting AI-powered developer tools like GitHub Copilot and ChatGPT is a challenging yet rewarding journey that requires time, experimentation, and a shift in how developers approach their workflows. This post explores why these tools are hard to learn, how they disrupt traditional flow states, and offers practical advice for integrating them effectively into day-to-day coding.

Coding 52

Coding Education Designing Management 52

WeCloudData

MAY 8, 2025

Agentic AI is an emerging advanced technology that combines the functionality of AI and large language models (LLMs). Agentic AI revolves around autonomous AI agents that can analyze data and are capable of problem-solving and decision-making with little human supervision. This blog is all about Agentic AI, what it is, and how it works. Its […] The post Agentic AI appeared first on WeCloudData.

Technology 52

Technology IT Consulting Data 52

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 Workflow

Edureka

MAY 8, 2025

In today’s data-driven world, organizations get information from more sources than ever. To make sense of all this information, it is critical to store and manage it effectively. Data lakes and data warehouses play a crucial role in this context. In this article, we’ll explain each of these phrases and their specific benefits. What is a Data Lake?

Data Lake 52

Data Lake Data Warehouse Raw Data Data 52

Edureka

MAY 8, 2025

When you purchase online, do you ever find yourself pondering how your tastes get changed into suggestions for products that are uniquely suited to you? Or how self-driving cars get through very complicated situations with amazing accuracy? These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives.

Data Engineer 40

Data Engineer Data Engineering Engineering Telecommunication 40