Rethinking Data Movement: A First Principles Approach

TOCWhy Data Movement Needs a RethinkThe Problem: Legacy Ingestion at ScaleThe Triple Squeeze on Data TeamsCommon Challenges of Data MovementBroader Operational ComplexitiesThe Shift: The Principles of Modern Data MovementHow a Data Movement Engine Embodies the PrinciplesThe Architecture of Modern Data MovementDeep-Dives into Modern Data Movement PatternsWhy Data Movement Needs a RethinkData used to be simple: a handful of databases, nightly batch jobs, and reports waiting in the morning. Today, that world is invalid. Today, every enterprise is drowning in sources that won’t stop multiplying: relational databases, SaaS APIs, log files, event streams, you name it. Each comes with its own quirks, schemas, and update patterns.At the same time, the patience window has collapsed.