Businesses need to store and analyze data efficiently. Using Snowflake, organizations have the ability to scale their data warehouse up and down as the situation demands. Its unique shared data architecture allows for easy scalability. Snowflake's fully relational SQL data warehouse is built for the cloud, making it efficient to store and access all your data from one integrated location. Instead of separating production and analysis databases, Snowflake uses virtual data warehouses to allow unlimited access and computational power, delivering on performance, simplicity, and affordability.
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Snowflake Data Cloud Summit 2020
If you were not able to attend our sessions at Snowflake's virtual event, we have you covered! Click the link below to access our recorded sessions on-demand! Featured are several great sessions from around the world including topics like embedded, establishing a data culture and becoming a data-driven organization -- all thanks to the powerful combination of Tableau and Snowflake!
The Accelerated Analytics Quick Start
Tableau and Snowflake on AWS
Deploy a fully functional Tableau Server environment and automatically establish a connection to Snowflake, the data warehouse built for the Cloud. This Quick Start gets customers up and running fast, allowing them to scale their virtual warehouses based on usage, leading to cost savings and peak efficiency. The Quick Start also includes pre-built Tableau Dashboards providing ultimate transparency into your cost and compute metrics.
Read MoreThe Analytics Platform Built for the Cloud
Dropbox: Enabling a culture of data-driven decisions
Dropbox was experiencing challenges with data accuracy, governance, and scalability - plus, it was taking weeks to create reports and gather insights. A turning point came as they were preparing for IPO and needed reliable metrics on a modern analytics platform that would scale for future growth. Enabled by seamless integration between Tableau and Snowflake, Dropbox was able to increase trust in their data with a single source of information, helping free up hundreds of analyst hours each month to focus more on forecasting and modeling.
Watch the Webinar here
How Paladina Health Drives Outcome-Based Analytics with Snowflake and Tableau
As more healthcare providers and payers transform how they serve patients and members, it’s vital to understand how a flexible cloud data management strategy and visual analytics platform can support proactive and cost-efficient approaches to patient care. To learn more about how Tableau and Snowflake are helping healthcare organizations, you can access the whitepaper here. Watch this webinar to learn how Paladina Health uses Snowflake and Tableau to further its mission of increasing the value of care while reducing overall healthcare spending for patients and client organizations.
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Rapid-fire data with Snowflake and Tableau
Until recently, advancements in data warehousing and analytics were largely incremental. Small innovations in database design would herald a new data warehouse every 2-3 years, which would then quickly become overwhelmed with ever-increasing data volume. Read how Snowflake and Tableau together are revolutionizing the speed of analytics.
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Snowflake's groundbreaking architecture
Snowflake's multi-cluster, shared data architecture was built for the cloud from the beginning. Data is stored in Amazon S3 and is accessible independently from as many virtual data warehouses as you need. Because computing and storage are completely separate, you can independently scale either to meet your needs at any time.
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Using Fivetran and Snowflake, connect Tableau to your NetSuite data
Our partners at Fivetran offer maintenance-free data connectors that can extract and load data from your apps directly into a data warehouse like Snowflake. Leverage this solution to extract your NetSuite data, which Fivetran replicates directly into Snowflake. Once the data are warehoused, you can utilize Tableau's Native Connection to Snowflake to begin analyzing your NetSuite data directly in Tableau.
Learn moreWe've always been obsessed with customer behaviour and for the first time we can truly indulge that obsession. Prior to Tableau we were spending a lot of time on predictions, which always comes with a degree of guesswork. Now everything is much more factual, right down to the finest details, which is much more valuable to the business.
carwow cuts time to insight by 30%
Through Tableau, Snowflake, and Fivetran, carwow has been able to adopt a data-driven culture, leading to better and faster decisions towards understanding their customers. Snowflake and Fivetran enable the migration of the company's data which vastly improves processing speed. Tableau's ease of connecting to Snowflake and visualization capabilities made it an easy decision for carwow and as a result they have cut their time to insight by 30%.
Read moreTableau is the friendliest way for our business to explore data. When you're lost in a sea of data, a visualization can act as a sort of information map. When combined with Snowflake's speed, we can now explore this information map at the speed of thought and move from data to information to a decision 10 times faster.
10x faster analysis at Notre Dame
Due to growing data, The University of Notre Dame’s fundraising office adopted the Snowflake Elastic Data Warehouse. With Snowflake’s virtual data warehouses, the office instantly matched capacity with need—in many cases, their analysis came 10x faster. Using Tableau, Notre Dame takes advantage of that speed with direct connectivity for both dashboard creation and sharing. With Tableau and Snowflake, the University of Notre Dame has a platform that is scalable, fast, and accessible.
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Explore petabytes of data
With a scalable AWS back-end, support for virtual warehouses, and the capability to work with structured and semi-structured data, Snowflake has the flexibility to adjust to demanding workloads.
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