Waitingforcode
JULY 2, 2025
Even though data engineers enjoy discussing table file formats, distributed data processing, or more recently, small data, they still need to deal with legacy systems. By "legacy," I mean not only the code you or your colleagues wrote five years ago but also data formats that have been around for a long time. Despite being challenging for data engineers, these formats remain popular among business users.
KDnuggets
JULY 2, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Fun Python Projects for Absolute Beginners Bored of theory? These hands-on Python projects make learning interactive, practical, and actually enjoyable.
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databricks
JULY 2, 2025
Introduction Large Language Models (LLMs) have swiftly become essential components of modern workflows, automating tasks traditionally performed by humans.
RandomTrees
JULY 2, 2025
Blog Part 2: Orchestrating SQL-based Transformations with Airflow in GCP Introduction In Part 1, we covered how to set up the GCP environment, create datasets, and prepare the schema for our social media project. Now in Part 2, we’ll focus on building an Apache Airflow DAG that automatically reads SQL files from Cloud Storage and executes them in BigQuery.
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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.
Monte Carlo
JULY 2, 2025
Bad data has always eroded stakeholder trust; what’s new today is the type of bad data that’s eroding it. Internal documents, support tickets, product descriptions and images, chat logs… all once siloed and ignored are now fueling the development of AI applications. But as AI adoption accelerates, unstructured data like text and images isn’t just becoming more critical—it’s also becoming more opaque.
Netflix Tech
JULY 2, 2025
Unleashing Film Grain Synthesis on Netflix and Enhancing Visuals for Millions Li-Heng Chen , Andrey Norkin , Liwei Guo , Zhi Li , Agata Opalach and Anush Moorthy Picture this: you’re watching a classic film, and the subtle dance of film grain adds a layer of authenticity and nostalgia to every scene. This grain, formed from tiny particles during the film’s development, is more than just a visual effect.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
JULY 2, 2025
Explore how Flink Agents redefine enterprise AI with real-time data, event-driven processing, and scalable autonomy—built for the future of AI workflows.
KDnuggets
JULY 2, 2025
Want to code smarter, not harder? Start using these 7 utilities from Python's functools and itertools that are useful, practical, and elegant!
Confluent
JULY 2, 2025
[Webinar] Master Apache Kafka Fundamentals with Confluent | Register Now Login Contact Us Why Confluent Confluent vs. Apache Kafka® Learn more about how Confluent differs from Apache Kafka For Practitioners Discover the platform that is built and designed for those who build For Executives Unlock the value of data across your business Our Customers Explore testimonials and case studies from Confluents customers Our Partners Find a partner or explore our partner programs Products Data Streaming P
Netflix Tech
JULY 2, 2025
By Vipul Marlecha , Lara Deek , Thiara Ortiz The mission of Open Connect , our dedicated content delivery network (CDN), is to deliver the best quality of experience (QoE) to our members. By localizing our Open Connect Appliances (OCAs), we bring Netflix content closer to the end user. This is achieved through close partnerships with internet service providers (ISPs) worldwide.
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.
Tweag
JULY 2, 2025
As part of our consulting business we are often invited to solve problems that our clients cannot tackle on their own. It is not uncommon for us to collaborate with a client for extended periods of time; during which, many opportunities for knowledge transfer present themselves, be it in the form of documentation, discussions, or indeed, when the client finds it desirable, in the form of specialized workshops.
databricks
JULY 2, 2025
At Barracuda, we're constantly innovating to stay ahead of emerging security threats in an increasingly complex digital landscape.
Precisely
JULY 2, 2025
Innovation thrives on diversity, and in an industry built on solving complex problems and imagining the future, a wide range of voices isn’t just valuable—it’s essential. Women in technology are driving this progress and Precisely is proud to champion all the women who contribute to innovation in technology. Every month, a different member of the Precisely Women in Technology (PWIT) program is featured to share insight into her experience navigating the tech industry.
RudderStack
JULY 2, 2025
Data warehouse automation improves accuracy and speed. See leading tools and core benefits.
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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
WeCloudData
JULY 2, 2025
Cloud computing is now a commercial need rather than a competitive advantage in the era of Industry 4.0. To remain flexible, adaptable, and effective, manufacturing firms are adopting cloud-based solutions, from AI-powered analytics to smart factories. In this blog, we explore how cloud manufacturing is changing the manufacturing industry and helping businesses to cut expenses, […] The post Cloud Manufacturing: The Future of Smart, Scalable Production appeared first on WeCloudData.
databricks
JULY 2, 2025
As a first-party Azure service, Azure Databricks has established itself as the leading Data + AI platform on Azure, enabling organizations to build scalable, enterprise-grade
KDnuggets
JULY 2, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Mistakes Data Scientists Make When Applying for Jobs Data scientists often make these mistakes in their job applications and interviews.
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