Tue.Jun 17, 2025

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Universal Data Orchestrator in Action: Enterprise Best Practices

Simon Späti

Moving from orchestration theory to the enterprise level is a real challenge. How do you handle secrets across environments? Where does your business logic actually live? How do you make pipelines that work for both your senior engineers and the analysts who need to modify them? In Part 1, The Heartbeat of Data Engineering , we discussed the convergent orchestrator combining orchestration as code and no-code.

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Deploying the Magistral vLLM Server on Modal

KDnuggets

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 Deploying the Magistral vLLM Server on Modal A guide for Python beginners to build, deploy, and test a Magistral reasoning model.

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Diskover, Backed by Snowflake Ventures, Empowers Enterprises with Full Visibility into Their Legacy Data Estates

Snowflake

A successful AI strategy requires a solid data foundation, yet a striking number of data and AI leaders are feeling unprepared. According to a survey of executives, a quarter described their data foundations as “somewhat unready” to “very unready” to support generative AI applications, and more than half admit they are only “somewhat ready.” Compounding this challenge, enterprises are grappling with petabytes of data trapped on legacy storage devices.

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NotebookLM + Deep Research: The Ultimate Learning Hack

KDnuggets

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 NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.

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A Guide to Debugging Apache Airflow® DAGs

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

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Top Big data trends in 2025

InData Labs

In the modern world, where Big data is essential in nearly every field, data evaluation has become a crucial factor in understanding and following Big data trends. The examples of Big data lead us to conclude that it will continue to be an indispensable component for success, giving businesses Big data opportunities. According to the. Запись Top Big data trends in 2025 впервые появилась InData Labs.

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A Practical Guide to Multimodal Data Analytics

KDnuggets

BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.

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Agentic AI: A Self-Study Roadmap

KDnuggets

A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.

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Top 10 data warehouse tools for modern teams

RudderStack

Choose the best data warehouse tools for your goals. Support analytics and performance at scale.

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Robinhood Presents: To Catch a Token

Robinhood

Robinhood to unveil next-generation crypto products from keynote event in Cannes, France Mark your calendars—Robinhood is hosting Robinhood Presents: To Catch a Token , a keynote event happening on Monday, June 30, live from the French Riviera. Hosted by Chairman and CEO Vlad Tenev, Robinhood’s first-ever international and crypto-focused event will usher in a bold new chapter—not just for Robinhood, but for crypto.

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