Businesses need to store and analyze data efficiently. Snowflake delivers a built-for-the-cloud architecture that enables disparate teams to work on the same data--structured and semi-structured--for a wide range of workloads across clouds. 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. Inside the Snowflake Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. 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
Snowflake 2021 Retail Summit: How Snowflake and Tableau Enabled MOD Pizza to Transform Through the Pandemic
Tableau participated at the 2021 Snowflake Retail Summit! Check out the recording of our session featuring MOD Pizza and how they adjusted their business during the pandemic to transform from an in-person consumer experience to digital-first.
Watch the recording
Snowflake Summit 2021
Tableau participated at the 2021 Snowflake Summit and you can watch our on-demand session if you missed it! This Best Practices session is back by popular demand and will be extremely valuable to anyone wanting to know the ins and outs of optimizing Tableau and Snowflake! Take a visit to our session recording here!
Session detailsSnowflake Healthcare Summit 2021
Tableau and Salesforce spoke at Snowflake's virtual healthcare event around how data is the driving force behind informing better health outcomes. You can access the recording below to hear more from industry experts Dr. Greg McDavitt and Dr. Barry Chaiken.
How a modern data stack is unlocking agility across the retail industry
Together, Fivetran, Snowflake, and Tableau make it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. This blog post goes in-depth around how retailers are driving agility thanks to this modern data stack. Additionally, take a look at this e-book which discusses the 3 must-haves for your modern retail data stack!
Read the e-book
How Tableau and Snowflake accelerate time-to-value in the cloud
Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. Even more important are the pieces that can help take your organization to that realization of driving decisions based on your data. This Forbes Brandvoice article details how the cloud injects energy and purpose into a data culture.
Tableau and Snowflake: Data Culture Enabled
Snowflake Cloud Monitoring Dashboards
How much are you spending on compute? What's performance like across virtual warehouses throughout the day? What is your user adoption rate and how many different users do you have on a particular database? Together, Tableau and Snowflake wanted to help you answer some of these questions and what better way to do that than actual Tableau visualizations! Take a look at these pre-built dashboards so you can easily monitor and track your Snowflake usage directly in Tableau.
See the dashboardsThe 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
Our Continued Investments with Snowflake for Enterprise Success
In 2020, we were able to add even more to our incredible partnership with Snowflake ranging from strengthened connectivity to new integrations to documenting customer successes. We brought this all together to help you see how Tableau and Snowflake are optimizing cloud analytics for our customers!
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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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Tableau's Cloud Migration to Snowflake
Not only is Snowflake a tremendous partner of ours--at Tableau, we have adopted the winning combination of our two platforms! We recently published a three-piece blog post series highlighting Tableau's migration to the cloud, featuring how we chose Snowflake and more in-depth details around the entire journey. For more information, read on about our migration process:
- How we evaluated our modernization
- Migrating from on-premises to Snowflake
- Communication and Documentation: Pivotal steps throughout the process
- On-Demand Webinar: Learn more from Tableau experts who spoke on this Snowflake-hosted webinar
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.
Watch the Webinar
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.
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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