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Snowflake Computing
19 followers -
The cloud data warehousing company
The cloud data warehousing company

19 followers
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Snowflake Computing's posts

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Organizational change and digital transformation must go hand-in-hand in an interactive process. Big data and the cloud may be great enablers of flexible approaches and measurable value creation, but without appropriate organizational culture and structure in place, they will fail, writes George Anadiotis for Big on Data.

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IDC predicts that the big data and business analytics market will grow from $130 billion by the end of this year to $203 billion by 2020. That's a compound annual growth rate (CAGR) of 11.7% over the next years. By comparison, the big data and analytics market was worth about $112 billion in 2015.

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Red Pill Analytics creates custom KMs for cloud-hosted databases, and the latest one they wrote is for the Snowflake Elastic Data Warehouse service. This KM utilizes Snowflake’s information schema to retrieve table design. Their second Snowflake KM was an IKM to bulk load a Snowflake target table from a SQL source.

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Engage with thought leaders as they share best practices related to data warehousing, big data and analytics.

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As more data sources come online (IoT, Mobile, Applications), the cloud economies of scale allow companies to bring in larger data sets and analyze them effectively. How are you benefitting from the shift to cloud analytics?

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You would be hard pressed to find a business executive who does not believe data initiatives are critical to company growth. Still, a large number of companies say their initial data initiatives have failed due to issues like “data inflexibility,” via Datanami.

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Oracle ACE, Robert Lockard, shares his best advice on how to insure your critical business data is secure in the cloud along with his review of how Snowflake addresses these issues.

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Wondering how you load data from your desktop into the cloud-native Snowflake Elastic Data Warehouse? Kent Graziano walks us through the process in this blog post.

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Join us tomorrow!

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The data skills gap continues to grow, with survey respondents reporting shortfalls in technical expertise (in descending order) for “database tuning,” data science and engineering, Hadoop, distributed programming and SQL.
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