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Panoply.io founder Yaniv Leven argues that his service enables its users to "get a modeled scalable cloud warehouse cluster over Redshift with no coding in less than 5 minutes and go from raw data to complex queries in less than 15 minutes".
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It's also a cloud, a warehouse.
More nimble-fingered machines are, in fact, already taking on manual labor that has long remained out of reach (see "A Robot with Its Head in the Cloud Tackles Warehouse Picking").
Snowflake, the cloud data warehouse, announced a partnership with Microsoft today to expand their offering to the Azure cloud.
The cloud data warehouse — valued at $3.5 billion after raising $713 million last year — expects to quadruple revenue for its fiscal year ending this month.
Snowflake, makers of a cloud data warehouse service, announced a new virtual private product that should appeal to highly regulated companies like financial services and healthcare.
Semi-structured data and machine data have made the administrative and formatting side of the traditional on-premises or cloud data warehouse cumbersome, and therefore made the whole data extraction and exploration process seem intimidatingly complex.
When Snowflake, the cloud data warehouse, landed a $263 million investment earlier this year, CEO Bob Muglia speculated that it would be the last money his company would need before an eventual IPO.
"We want to help more enterprise companies make better use of their data, while modernizing data warehousing infrastructure and making use of cloud data warehouses," he explained.
Cloud data warehouses are the evolution of the data warehouse being promoted by Snowflake, Azure SQL Data Warehouse, AWS RedShift, and others.
Cloud data warehouses are one way of storing the data securely and efficiently (read more on types of data warehouses in the research2gudiance article).
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