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Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.
That meant a system that was sufficiently nimble and powerful to execute fast SQL queries on raw data, essentially performing any needed transformations as part of the query step, and not as part of a complex datapipeline. The final output would be written to a serving system like Apache Cassandra, Elasticsearch or MongoDB.
Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost. LambdaArchitecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. It provides instant views of the real-time data.
Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT datapipelines. MongoDB stores the processed and aggregated results.
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