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A few months ago I wrote a blog post about event skew and how dangerous it is for a stateful streaming job. Since it was a high-level explanation, I didn't cover Apache Spark Structured Streaming deeply at that moment. Now the watermark topic is back to my learning backlog and it's a good opportunity to return to the event skew topic and see the dangers it brings for Structured Streaming stateful jobs.
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The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? How does a self-driving car understand a chaotic street scene? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.
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Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.
DareData will close 2024 with a 5% revenue growth compared to 2023. At first glance, given the rapid growth in our market, one might be tempted to classify this year as underwhelming. However, 2024 has been a transformative year for us. We started the year as a 100% consulting business. Consulting is highly dependent on people, and in small boutique firms like ours, this often means being heavily reliant on the partners.
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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
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Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool.
With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, theyve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems.
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