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AnalysisData engineering & the warehouse/lakehouseGoogle Cloud
Google Cloud — Data & AI · Read source ↗

The increasing demand for compute capacity due to AI development is affecting Apache Spark's availability, posing challenges for data processing. Google’s Managed Service for Apache Spark offers a solution by providing flexible virtual machines and best practices to mitigate these stockouts.

MyDataWork POV — For those juggling Apache Spark infrastructure, Google's Managed Service offers a pragmatic approach to sidestep compute bottlenecks. The flexibility of virtual machines is a boon, especially when AI workloads surge unpredictably. But let's be clear: if you're not already feeling the pinch from compute shortages, this might be a solution in search of a problem. For everyone else, it's a lifeline to keep data pipelines flowing smoothly without hitting the brakes on innovation.
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