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This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines?
After trying all options existing on the market — from messaging systems to ETLtools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka is more about building services that power daily business operations.
Zero-Code Development Life Cycle (ZDLC) is the recognition that Matillion for Snowflake is a new breed of ETLtool that allows a full spectrum of users and use cases to operate concurrently on the same platform for the same organization. An analytics program’s maturity curve is not navigated by all members at the same rate.
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