Learn how the Databricks Lakehouse Platform is used for data engineering for ingesting, transforming, processing, scheduling, and delivering data, alongside other activities involving streamlining and automating the development and management of pipelines.
Moreover, we also discuss the essential differentiators for successful data engineering, some use cases for real-time point-of-sale analytics, and anti-money laundering solutions at scale.
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