| Operational and analytical use cases all face the same problem: they are unable to reliably access relevant, complete, and trustworthy data from across their organisation. Instead, each use case typically requires cobbling together its own means for accessing data. ETL pipelines may provide a partial solution for data access for data analytics use cases, while a REST API may serve some ad hoc data access requests for operational use cases. However, each independent solution requires its own implementation and maintenance, resulting in duplicate work, excessive costs, and similar yet slightly different data sets. There is a better way to make data available to the people and systems who need it, regardless of whether they're using it for operations, analysis, or something in between. It involves rethinking those archaic yet still commonly used ETL patterns, the expensive and slow multi-hop data processing architectures, and the "everyone for themselves" mentality prevalent in data access responsibilities. It's not only a shift in thinking but also a shift in where we do our data processing, who can use it, and how to implement it. In short, it's a shift left. Take the same work you're doing (or will be doing) downstream, and shift it left (upstream) so that everyone can benefit from it. A data lake is typically a multi-hop architecture, where data is processed and copied multiple times before eventually arriving at some level of quality and organisation that can power a specific business use case. Data flows from left to right, beginning with some form of ETL from the source system into a data lake or data warehouse. The medallion architecture is the most popular form of multi-hop architecture today. It is divided into three different medallion classifications or layers, following the Olympic Medal standard: bronze, silver, and gold. Each of the three layers represents progressively higher quality, reliability, and guarantees, with bronze being the weakest and gold being the strongest. The medallion architecture and, indeed, all multi-hop architectures have serious problems. The complete article examines why. This content is an excerpt from a recent InfoQ article by Adam Bellemare, "The End of the Bronze Age: Rethinking the Medallion Architecture". To get notifications when InfoQ publishes content on these topics, follow "Architecture and Design", "Event-Driven Architecture", and "Cell-based Architecture" on InfoQ. Missed a newsletter? You can find all of the previous issues on InfoQ. Sponsored | | | Help us tailor InfoQ's content to better serve software architects like you. Share your insights on the technologies and tools shaping your work by completing a quick, three-minute survey. Your input will directly influence the topics we cover, ensuring our content remains relevant and valuable. As a thank-you, you'll have the chance to win one of five complimentary video access passes to QCon London (Apr 7–9, £435 value). The survey is anonymous, and all responses remain confidential.
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