The growth in data generated and captured by organizations, potential to harness, manage and analyze data are imperative. This research provides data engineering principles help organizations generate business value.
Data Engineering
Data Science
Technology markets are increasing for analytics, BI and data science solutions. It becomes imperative for end users must increasingly become self-sufficient. Success requires data and analytics leaders to provide a resilient ecosystem that supports businesses the while prioritizing business impact.
Data Integration
Data integration involves combining data residing in different sources and providing users with a unified view of them.
This process becomes significant in a variety of situations, which include both commercial such as when two similar companies need to merge their databases and scientific domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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