KDnuggets
MARCH 24, 2025
Pandas is great, but if you're not using it efficiently, you're wasting time. These seven tricks will speed up your workflow, cut memory usage, and make your data manipulations smoother. Get ready to level up.
Snowflake
MARCH 24, 2025
Todays organizations recognize the importance of data-driven decision-making, but the process of setting up a data pipeline thats easy to use, easy to track and easy to trust continues to be a complex challenge. Reducing time to success allows organizations to see immediate value from their data investments and scale up productivity. Our investment in DataOps.live , a SaaS platform for data engineering and operations, will help Snowflake users accelerate that timeline.
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KDnuggets
MARCH 24, 2025
Check out the story of a Reddit user who has achieved success by following 7 simple rules.
WeCloudData
MARCH 24, 2025
Retrieval-augmented generation (RAG) is an AI cutting-edge approach that combines the power of traditional retrieval-based techniques with the capabilities of a generative large language model (LLM) to enhance the accuracy and relevance of AI-generated content. Instead of depending entirely on pre-trained knowledge, RAG incorporates external knowledge sources, such as documents or databases, to enhance the […] The post What is Retrieval-Augmented Generation (RAG)?
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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
KDnuggets
MARCH 24, 2025
Check out these data sources that you may not have known about previously.
Confluent
MARCH 24, 2025
Learn how Confluent Champion Syed solves complex problems for customersand how Confluent's collaborative culture keeps him motivated.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Netflix Tech
MARCH 24, 2025
Roger Quero , Liwei Guo , Jeff Watts , Joseph McCormick , Agata Opalach , AnushMoorthy We are excited to announce that we are now streaming HDR10+ content on our service for AV1-enabled devices, enhancing the viewing experience for certified HDR10+ devices, which previously only received HDR10 content. The dynamic metadata included in our HDR10+ content improves the quality and accuracy of the picture when viewed on thesedevices.
Scott Logic
MARCH 24, 2025
Introduction Developing a greenfield project inherently requires decisions to be made both up front and along the way that have the potential to dramatically steer the course of the journey. This is not just true for the development of the product itself, but also testing methodology and tooling. As a tester, having the right approach for the task at hand is key.
Striim
MARCH 24, 2025
Join us to explore how addressing ethical considerations like bias and fairness can enhance your companys reputation, while robust privacy measures help ensure regulatory compliance.Our expert panel will discuss strategies to improve transparency in AI processes, enabling informed decision-making, and how collaboration across industries can strengthen governance frameworks.
Striim
MARCH 24, 2025
AWS PostgreSQL, a managed database service, provides a robust platform for enterprises to modernize their data infrastructure. However, the challenge lies in migrating and replicating data seamlessly while ensuring minimal downtime and maintaining transactional consistency. Striim, a leader in real-time data integration, offers a comprehensive solution to address these challenges.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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