Data Warehousing Modernization
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Read ContentCanva Empowers its Data Analysts and Scientists with Snowflake
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Read ContentCoupa: Managing Data for a Rapidly Expanding Company
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Read ContentDevon Energy: Consolidating Many Systems to One Modern Data Lake
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Read ContentHow Snowflake Automates Performance in a Modern Cloud Data Warehouse
How Snowflake Automates Performance in a Modern Cloud Data Warehouse
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Read ContentApplying the Agile Manifesto To Your Data Warehousing Program
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Read Content5 Best Practices for Data Warehouse Development
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Read ContentFundamental Data Warehouse Architecture Guide
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Read Content5 Reasons to Modernize Your Data Warehouse with a Cloud Data Platform
New data warehouse technology provides a means to use more types of data and data sources. Snowflake enables you to derive maximum benefit from your data.
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1:59Watch VideoIntroducing Snowflake Architecture in 90 Seconds
What makes Snowflake different? In one word, architecture. This 90-second video describes the three pillars of Snowflake’s unique architecture: the separation of storage, compute, and services. Availa
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1:02:24Watch VideoGigaom Webinar: Why the Data Warehouse is Back (And Why it Never Really Went Away)
The rise in Enterprise data volumes and the increasing use of semi-structured data gave rise to Big Data and NoSQL platforms. But the conventional data warehousing model never went away. And with inn
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1:02:59Watch VideoWebinar: 7 Tips for Modern Data Warehousing
For modern, data-driven organizations, it is crucial to support a variety of analytics needs, including operational and reporting requirements, while enabling you to maximize the time you can devote t
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3:37Watch VideoThe Snowflake X-Factor: Separate Metadata Processing
Metadata-driven cloud services is the brilliance behind Snowflake. Lead software engineer, Ashish Motivala explains why, including a special bonus.
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Read Content
Migrate to the Cloud: The How and Why of Modernizing Your Data Platform
Learn how to successfully modernize your data warehouse by migrating to the cloud. There are many reasons organizations choose to embrace cloud computing. But it's important to start with a plan.
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Read ContentGigaom Sector Roadmap: Cloud Analytic Databases 2017
The cloud is proving immensely useful to providing elastic, measurable, on-demand, self-service resources to organizations. The uptake in 2016 has been phenomenal, continuing the biggest transformatio
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Read ContentMoving the Enterprise Analytical Database – A Guide For Enterprises: Strategies And Options To Modernizing Data Architecture and the Data Wa
This paper will help an organization understand the value of modernizing its data architecture and how to frame a modernization effort that delivers analysis capabilities, diverse yet connected data,
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59:42Watch VideoWebinar: Strategies and Options to Consider When Modernizing Data Architecture
This 1-hour Gigaom Research webinar will present the findings of a recently completed report on moving enterprise databases written by Gigaom analyst William McKnight, “A Guide for Enterprises: Strate
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0:00Watch VideoWebinar: Libérez vos données SAP sur le Data Warehouse de Snowflake avec Attunity
Les plus grandes entreprises du monde stockent leurs données sur Oracle, DB2, SQL et exécutent leurs opérations commerciales critiques sur des infrastructures SAP. Ces organisations ont besoin que leu
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7:24Watch VideoCustomer Panel: Snowflake vs. Re-engineering an on-premises data warehouse
CapSpecialty, OnDeck Capital, and PennyMac discuss using Snowflake's cloud data warehouse solution over re-engineering their on-premises data warehouse at the Snowflake Cloud Analytics Fintech Summit
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Read Blog PostLet History Halve Your Next Data Analytics Purchase
If you’re lucky, you’ll spend just six to 12 months considering and buying your next enterprise software solution. If it’s a seven-figure purchase, plan for an additional six to 12 months to...
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39:34Watch VideoWebinar: Top Trends for Moving Your Data to the Data Warehouse in the Cloud
Hosted by Attunity, Snowflake, and Wikibon on-demand webinar explains what you need to know about why, where, and how companies are diving into data warehousing on the cloud.
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