Developing practical methodologies requires understanding the different roles that participate in the enterprise data lake. — ITPro Today
In recognition of the value proposition of cloud computing, a significant level of effort is being expended in modernizing existing on-premises data warehouse environments by migrating both data and applications to the cloud.
Cloud environments provide a great degree of flexibility, especially when it comes to managing different types of data assets. This benefits data warehouse architects because they are not limited to using a relational database management system (RDBMS) to hold the data warehouse’s data; rather, they can take advantage of a collection of data storage and management paradigms that can be virtualized and used for downstream reporting and analytics.
Read the rest of David Loshin’s article on data lakes.
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