DATA WAREHOUSING IN THE CLOUD - OPPORTUNITIES BENEFITS AND BEST PRACTICES

DATA WAREHOUSING STRATEGY IN THE PUBLIC CLOUD PARADIGM: OPPORTUNITIES FOR THE ENTERPRISE

Moving to the cloud need not be complex if you carefully consider two possible architectures: data warehouses in the cloud and cloud-native data warehouses.

If you’re considering moving your data warehouse to the cloud, there are two approaches you need to evaluate. To learn more about the differences between data warehouses
in the cloud and cloud-native warehouses, we turned to Dan McClary, product manager at Google. Dan works on BigQuery and Google’s internal data warehouse, Dremel. Prior to joining Google, he served as senior principal product manager for big data at Oracle and director of business intelligence at Red Robot Labs in Palo Alto, CA. Dan has been on the faculty at UC Berkeley’s Masters in Data Science program and earned his Ph.D. in Computer Science from Arizona State University.

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