Enterprise data warehouse (EDW) technologies in our data-driven era

Exciting to see that, organizations of all sizes are turning to Enterprise data warehouse (EDW) technologies when it comes to capture business value, unlock actionable insights and data and to ingest real-time, actionable business insights.

However it is indispensable to recall that, regarding Enterprise data warehouse (EDW) technologies, it is critical to focus primary on:

• ·analytical platform that integrates with in-memory capabilities to support real-time analytics,

• Real-time use of their data,

•  leading Hadoop distributions and can run the solution natively in Hadoop distributed file system (HDFS),

• optimized for distributed in-memory to deliver real-time analytics,

•  Supports deployment across Google Cloud Platform, AWS, Microsoft Azure, Microstrategy Cloud, Rackspace , VMware vCloud Air…etc.,

• economical, secure, flexible, and scalable data platform that’s critical for them to deliver real-time, actionable business insights,

• Open, fast and enterprise-grade analytics platform that can help you unlock the business value of transformative tools like Hadoop and others.

For those who are unfamiliar, Connectikpeople.co recalls that, one can define the Enterprise data warehouse (EDW) technologies as software that organize and aggregate analytical data from various functional domains and serve as a critical repository for organizations’ operations. It can offer in-database analytics, predictive models, and embedded business algorithms to drive business decisions.