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Organizations have struggled to easily provide access to sharable data assets ever since the early days of decision support systems. Traditional methods of data sharing are slow and cumbersome. Simple data sharing methods—such as emailing extracted files, opening up unsecured access to critical databases, or file exchanges via FTP or EDI—not only pose risks of inadvertent data exposure, they also fundamentally require manual steps for both the individual sending the data and the individual receiving the data.
The concept of the data warehouse, intended to provide a repository for shared data for reporting and analysis, is itself predicated on the need to extract data from an array of sources and reorganize those data sets in a way that facilitates data sharing. But the data warehouse population process also imposes a significant burden in resources (such as staging areas for landing extracted data sets) and effort (in developing and implementing the data integration applications) to make shared data accessible.
In this webinar, we will consider whether the challenges of easy data sharing are problems of our own creation, and then we will discuss modernizing data accessibility in ways that reduce the manual burden yet balance ease of use with appropriate levels of data protection.
Attendees will learn about:
Date: September 12, 2018
Time: 9:00AM PT
Sponsored By Snowflake
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