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Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks
Why Delta Lake? Apache Parquet on cloud storage was a great first step for data lakes — but it left engineers dealing with a painful set of problems in production: No ACID transactions — concurrent reads/writes could corrupt data silently Schema drift — nothing stopped upstream systems from changing column types No deletes or updates — GDPR compliance meant rewriting entire partitions Painful failure recovery — half-written data after a job crash became your problem Delta Lake solves all of this
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