Big Data ELT
From an architecture standpoint, data integration is evolving in a major way, quickly becoming the solution to today’s big data challenges.
The first evolution we’ve seen is the migration from proprietary, commercial, all-in-one products to open source platforms powered by tools like Spark and Storm.
The second evolution involves one of the classic hallmarks of ETL products: the ability to connect to a wide variety of systems and platforms. Today’s big data integration solutions are gracefully traversing the tightrope between the SQL/NoSQL and RDBMS/non-relational chasm.
The third evolution is within the ETL development environment. Conventional ETL tools had highly-refined, graphical user interfaces, but ...