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Announcing CustomerLake: the agentic CDP embedded in Databricks
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Introducing Omnigent: a meta-harness to combine, control and share your agents #databricks
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Learn Databricks from a Senior Data Engineer at Nike
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“Just using #AI as the goal doesn’t make sense to me.” #Databricks co-founder Arsalan Tavakoli-Shiraji explains why he focuses on “boring AI” to drive meaningful business output.
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The Data Engineering Roadmap for 2026 👇 Check this out before it’s too late. AI won’t make Data Engineering irrelevant. In fact, it’s the exact opposite: Reliable, well-governed, and accessible data becomes the ULTIMATE bottleneck when companies start deploying AI agents and LLMs at scale. No good data = no good AI. If I had to start from scratch today, here is my exact step-by-step framework: 1. The Fundamentals: Master SQL and Python. Learn data modeling, APIs, Git, Linux, and Docker. 2. Orch
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