In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors and clients focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. As the EDW market continues to evolve, enterprise architecture pros recognize that improved scalability, better performance, and deeper integration with Hadoop and NoSQL platforms will address their top challenges. Organizations rely on Signum Group to help manage their EDW platforms to deliver actionable, timely, and trustworthy intelligence.
Most organizations that have a data warehouse (DW) are either enhancing it or considering new business initiatives that require faster processing and larger storage requirements. EDW is delivering new use cases that include real-time analytics, operational intelligence, customer analytics to deliver improved customer experience, and internet of things (IoT) analytics to improve operational efficiency.
What is EDW?
An enterprise data warehouse (EDW) is a system used for reporting and data analysis, and is considered a core component of business intelligence. Here’s a good representation of data sources, integration, storage in the data warehouse and then the data marts that define/sort/organize and keep the data ready for consumption.
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