Cloud Service Rating

Crux Informatics streamlines data delivery and consumption

Cloud N Clear often features SADA Alliance Partner customers who have built successful companies offering innovative solutions on Google Cloud. This week episode 99 of the Cloud N Clear spotlights Crux Informatics, a SADA customer focused on removing the friction between data suppliers and consumers. Host Miles Ward, CTO at SADA, and guest Mark Etherington, […]

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Cloud Service Resources

SADA prepares for growth and expansion with new executive appointments

SADA is excited to announce that we’ve strengthened our senior leadership team and Board of Directors once again. Last month, we named three new members to our Board of Directors. Today, we’re proud to announce the appointment of Lusine Yeghiazaryan to Chief Financial Officer and Julie Cullivan to our Board of Directors. We’ve also named

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Cloud Service Strategy

SADA named to Inc. magazine’s annual list of Best Workplaces for 2021

We are thrilled to announce that SADA has been named to Inc. magazine’s annual list of the Best Workplaces for 2021. Hitting newsstands May 18 in the May/June 2021 issue, and as part of a prominent Inc.com feature, the list is the result of a wide-ranging and comprehensive measurement of American companies that have created

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Cloud Service Specifications

Solutions Architecture: A resource for migrating to GCP

On the next Cloud N Clear episode Miles Ward, CTO at SADA, sits down with Kyle Moschetto, Director of Solutions Architecture at SADA, to discuss the current landscape of solutions architecture, our passion for driving customer success, and the incredible value we provide as end-to-end partners. At SADA we partner with organizations to help them

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Crux Informatics realizes better economics and performance with BigQuery

In today’s constantly shifting business landscape, more companies are looking to harness the power of data to drive decision making and achieve a competitive edge. Unfortunately, many businesses face challenges when it comes to working with data at scale due to the amount of data engineering and wrangling required to get datasets ready for use.

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