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AI-generated Spark code compiles. It runs locally, would it run in production? One of our customers' jobs was taking 22 minutes instead of 5. They asked Claude for help. It said "Try caching." It
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Your agent can write a Spark pipeline in minutes. It has no idea if that pipeline will survive production. We hosted Scott Haines from @databricksinc last week, and we showed two demos that made thi
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What’s the best LLM for data engineers right now? Someone asked this on the Databricks subreddit recently, and the most-upvoted answer was basically: the Databricks AI Dev Kit. Because it’s not real
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Apache Spark promised parallel processing. So why sometime one executor doing all the work? Mosty probably you have data skew. What's actually happening is pretty simple. Your data isn't distribute
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PySpark or Scala for your Apache Spark jobs? Here's the truth: from a performance perspective, they're almost identical. The real difference? It's conceptual. PySpark code looks imperative, like yo
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As the year wraps up, we want to say thank you to our customers, users, and the big data community around the world. Wishing you a joyful holiday season ✨ Here’s to smooth pipelines and faster Spark
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Still energized from yesterday’s Spark Meetup at @taboola.israel ⚡ Real production insights, great questions, and a strong Spark community showing up. Thanks to Taboola for hosting and to everyone who
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#pov #spark #meetup
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AI agents aren't revolutionary. #AI #llm #dataengineering
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The Broadcast That Almost Broke Apache Spark! So one of our customers had a Spark job that failed… after running for a whole hour. Their cluster was running executors with 64GB of memory each. Whil
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The @databricksinc and big data paradox! @google Trends tells the story: PySpark searches are falling, while Databricks interest is skyrocketing spiking right when they hit a $100 billion valuation.
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And what do you get asked the most at the gym?
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About @dataflint

DataFlint is a Instagram growing creator. With 17 followers and 12 posts, dataflint's account shows a follower-to-following ratio of 0.3:1. View all content anonymously on Pictame - no login required.

dataflint's engagement rate sits at 37.25%. That's 645% above what you'd typically see for accounts with 1K-10K followers (average 5%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 23 days. Captions lean detailed, averaging 612 characters.

37.25% engagement rate — 645% above average for 1K-10K follower accounts.
Posts about every 23 days.

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dataflint
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@dataflint

DataFlint

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#bigdata#spark#apachespark#AI#dataengineering#meetup#DataEngineering#ApacheSpark

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The first Apache Spark AI Copilot Clears the path for your data team at every stage of the big data lifecycle so they c...

www.dataflint.io/
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