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SQL and Analytics: A Dynamic Duo

Presented at INSYNC 21

Session ID: 100740

We are in the midst of a digital disruption. Data-driven organizations are using analytics to add value and generate innovative business ideas using vast amounts of data.  Operating as a “citizen data scientist”/“data entrepreneur,” the thoughtful tech person is finding creative new ways to enable companies across the globe to leverage ever-expanding digital repositories.  From a data analysis perspective, SQL (a language firmly rooted in relational algebra) is an invaluable tool. It is ubiquitous, and while other languages have attempted to supplant it, SQL remains the language of choice. This is because it is a highly performant set-processing language with capabilities that can be used to produce results far beyond what many realize.  Broadly speaking, SQL provides a capability to subset/aggregate/pivot/analyze data, make inferences, and answer questions. A skillful use of this language will enable you to propel your organization forward in this digital era.

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SQL and Analytics: A Dynamic Duo