Creating a data strategy a decade ago was relatively easy compared to today. Back then, database experts debated the capabilities and performance of relational databases from Oracle, Microsoft and IBM, or whether to use open source databases like MySQL and PostgresSQL. A minority of enterprises explored NoSQL databases including document stores, key-value databases and columnar databases from technologies such as MarkLogic, MongoDB and Apache Cassandra. Organizations moving lots of data between enterprise systems invested in ETL (Extract, Transform and Load) platforms and a small minority invested in data quality or master data management solutions.
