![]() | I hear lots of discussion about data lakes, data warehouses and hubs. At a conceptual level I kind of understand what they do, but what should we have? How do I know which architecture is going to serve us best as we work through aligning our enterprise architecture to ensure our key organisational objectives can be met |
____ What are the Technologies - Data Lakes, Data Warehouses and Hubs?
IMS has developed a modern data platform architecture, known as an Enterprise Data Hub (EDH). This architecture supports the fast ingestion and ability to publish data, data discovery and exploration, data science, and data governance (including data quality and metadata management) – which ultimately helps you to maximise the usage of your data assets for decision-making, reporting, analytics and 360 views of data; while at the same time, reducing your operational costs and risk.
Our EDH is an enterprise information architecture supported by an agile development methodology, that enables organisations to comprehensively address their business information needs with data governance. The EDH architecture directly supports a bimodal development approach, whereby information requirements can be serviced quickly in an exploratory environment, and then transitioned to high governance if and when required.
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IMS has built EDH solutions using various platform technologies, including on-premises with Microsoft SQL Server, and on-
cloud with Microsoft Azure (Synapse, Datalake) and AWS (Redshift, Glue).
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