workingwithdata_ebook_april21_awc2op 4
TREATING DATA AS A PRODUCTOur approach to observability at SnowplowWhat Ralph and the rest of the business really care about is whether they cantrust the data. Is it complete and is it fresh? Crucially, data observabilityshould align the more technical data with business outcomes so thatbusiness and engineering teams are talking the same language and movingin the same direction.Our approach to observability at Snowplow is to focus on two key metrics;throughput and latency. These are emitted from each part of the pipelineand as a result, if a bottleneck occurs at any point then it is far simpler todiagnose, allowing you to take corrective action immediately.Our plan at Snowplow is to make it the most observable behavioural datapipeline available. We have already added observability to our BigQueryLoader, and we’ll soon be launching it within our RDB loader and Enrichassets too.47
CHAPTER 5HOW DATASTORYTELLING CANMAKE YOUR INSIGHTSMORE EFFECTIVE
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CHAPTER 5
HOW DATA
STORYTELLING CAN
MAKE YOUR INSIGHTS
MORE EFFECTIVE
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