KDnuggets

JANUARY 6, 2025

AI is growing fast! Learn the top skills for 2025 to stay ahead in this exciting field.

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Netflix Tech

JANUARY 6, 2025

Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how. How do we ensure every title launches seamlessly and remains discoverable by the right audience?

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Metadata Algorithm Systems Building 80

KDnuggets

JANUARY 6, 2025

Kickstart your data engineering career with an expert guide available on GitHub.

Data Engineering 95

Data Engineering Data Engineer Engineering Data 95

Snowflake

JANUARY 6, 2025

The incredible promise of the fully autonomous vehicle (AV) and more advanced driver assistance systems (ADAS) has been driving the automotive industry for the better part of the last decade. It has inspired original equipment manufacturers (OEMs) to innovate their systems, designs and development processes, using data to achieve unprecedented levels of automation.

Manufacturing 62

Manufacturing Cloud Computing Data Storage Algorithm 62

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

KDnuggets

JANUARY 6, 2025

Learn how to structure your data science projects to make them more organized and minimize chaos!

Data Science 80

Data Science Project Data 80

Towards Data Science

JANUARY 6, 2025

Illustrated with an example of Multimodal offline batch inference with CLIP Continue reading on Towards Data Science

Data Science 59

Data Science Data Process Data Engineering 59

Confluent

JANUARY 6, 2025

Learn how startup Reworkd leverages Confluents complete data streaming platform to scale real-time data scraping with generative AI.

Data 52

Data 52

Monte Carlo

JANUARY 6, 2025

2024 was a real doozy. If you emerged from the generative AI haze with your sanity still intact, then we salute you. This year, we saw early GenAI use cases like chatbots and copilots, we saw data teams introducing open table formats into their lakehouses, we saw data products grow in popularity more than ever before, and we saw everything in between.

Insurance 52

Insurance Unstructured Data High Quality Data Government 52

Precisely

JANUARY 6, 2025

Key takeaways : Real-time data is critical for exceptional customer experiences. Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet these expectations. Integrated and scalable architectures drive business agility. By consolidating the data of disparate systems when leveraging streaming data architecture, you improve operational efficiency, reduce costs, and adapt to new technologies.

Data Architecture 59

Data Architecture Architecture Pipeline-centric Banking 59

Confessions of a Data Guy

JANUARY 6, 2025

I’ve been playing around more and more lately with DuckDB. It’s a popular SQL-based tool that is lightweight and easy to use, probably one of the easiest tools to install and use. I mean, who doesn’t know how to pip install something and write SQL? Probably the very first thing you learn when cutting your […] The post Using DuckDB to read JSON files in S3 appeared first on Confessions of a Data Guy.

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SQL IT Data 100

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

Netflix Tech

JANUARY 6, 2025

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1 , which detailed how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company and Part 2 , which stepped through a few exciting business applications for Analytics Engineering.

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Engineering Entertainment Designing Finance 58

Picnic Engineering

JANUARY 6, 2025

Picnic increasingly follows a data-driven approach towards serving content. Every customer sees their own version of the store, fitted to their needs and behaviors. While this enables a better user experience, it also places heavy demands on the flexibility of our store backend systems. The continuous introduction of new insights and data points, as well as the desire for business logic that can quickly evolve, introduces a set of challenges which are not easilysolved.

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SQL Java Database Accessible 40