CONNECT, COLLABORATE, AND ACHIEVE WITH DATA
Hundreds of millions of data sets globally remain siloed in SaaS applications, cloud data storage, and on-premises data centers. This decades-old issue prevents organizations from getting all the value from all their data.
The Data Cloud eliminates the barriers created by siloed data. It is an ecosystem of thousands of organizations connecting to their data, and connecting to each other, by seamlessly sharing and consuming data and data services in live, governed, and secure ways. The technology that unites this ecosystem and enables the Data Cloud is Snowflake’s Cloud Data Platform.
Our expert-led courses will show how the Data Cloud enables you to get the most from your data, including how your organization can deploy several analytic workloads across different clouds and regions.
Champion the Data Cloud in your organization with any of the Data Cloud Academy’s three free instructional tracks presented by Snowflake experts, customers, and partners:
- Data-Driven Decision-Making
- Govern and Manage Data in the Era of the Data Cloud
- Build Businesses and Products Around Data
DATA CLOUD ACADEMY TRACKS
The Rise of the Data Cloud
Vice President, Marketing, Snowflake
Organizations can use the Data Cloud to seamlessly access and operate on governed data in their business, customer, and partner ecosystems. In this session, learn how the Data Cloud works and how it is reshaping industries to enable making faster and better decisions while maintaining complete security privacy.
Data-Driven Marketing: How to Leverage the Data Cloud to Activate Your Customer Data
Director of Product Marketing, Snowflake
Length: 20 Minutes Marketers today are constantly trying to be more efficient in how they generate leads and acquire customers. However, when they are equipped with incomplete data and stale analytics, marketers are often forced to make suboptimal decisions based on gut feel, which results in higher marketing costs and lower revenue. In this session, learn how the Data Cloud can help your organization eliminate data silos, activate your data, and improve marketing agility.
Using the Data Cloud to Feed the Hunger for AI-Powered Data Insights at US Foods
Data Scientist, US Foods
Length: 13 Minutes Learn how the Insights and Analytics team at US Foods predicts customer churn by feeding DataRobot, their AI/machine learning platform, 40 million records of customer sales data via a scalable, resilient pipeline using Snowflake Cloud Data Platform. Discover how the team is coupling data engineering and pipelines with AI and machine learning to shift its focus from manual, resource-intensive analytic workflows and reports to delivering more-impactful business insights, faster.
How to Drive Better Analytics Performance and Data Democratization using the Data Cloud
Partner Marketing, Tableau
Length: 18 Minutes As organizations look to the Data Cloud to speed up their digital transformation initiatives, they are seeing just how important pervasive and performant access to data is when it comes to making impactful business decisions. Visualizing and analyzing data is key, but data also needs to be readily available at users’ fingertips as fast and efficiently as possible. In addition, the analytics environment must be self-service so every user feels empowered to ask and answer their own questions. With the near infinite elasticity and scalability available in the Data Cloud, the goal of democratizing data to an entire organization is now truly possible. Learn how combining the features of Tableau with Snowflake Cloud Data Platform can enable your organization to become data-driven.
From On-Prem, to the Cloud, to the Data Cloud
Senior Manager | Analytics and Information Management, Deloitte
Length: 15 Minutes In this session Deloitte will detail the imperative, benefits, and methodology of migrating your on-premises data solutions to Snowflake’s Cloud Data Platform – the technology that underpins and powers the Data Cloud. You’ll understand how the architecture and technology of our cloud data platform enables you to unify and integrate your data in one location to obtain the deepest value and insights possible. From there, you’re able to access the ecosystem of Snowflake users conducting business as data providers and data consumers in the Data Cloud.
Govern and Manage Data in the Era of the Data Cloud
The Benefits of Baked-In Data Security, Privacy, & Governance: Why the Data Cloud Must be Secure
Head of Product Marketing, Snowflake
Length: 10 Minutes As organizations step into to the Data Cloud, data governance becomes a key requirement to ensure data is secure and controlled. Governance, however, has many different requirements, and needs to address your unique needs. Governance is also boundless across your data landscape. The technologies and strategies you deploy will determine how easy, or difficult, it will be to deploy modern data governance. Join this session to learn about Snowflake’s role in tackling complex governance challenges and how using Snowflake in the Data Cloud will help how you approach your data governance strategy.
What’s Possible When Data Management Disappears? Refactoring the DBA Role to Deliver Better Data Faster
Head of Architecture, Data Solutions, ML & AI
Length: 15 Minutes New technologies and services continue to impact the roles of IT departments. Mundane but unavoidable tasks performed by highly technical professionals continue to disappear from many IT roles. But how do you capitalize on that evolution and apply your technical resources to high-value projects that make your data sweat? View this presentation to understand how Logitech uses Snowflake’s cloud data platform, the engine that powers the Data Cloud, to reinvent its data management strategy and repurpose its IT roles to get more value from more data.
Why Data Quality and Data Governance are More Relevant in the Data Cloud
VP Data Governance and Privacy Segment Leader, Informatica
Length: 16 Minutes Data governance is no longer confined to satisfying specific regulations, nor is it something only small teams or specific industries need to be concerned about. Intelligent data governance drives business value creation. Data is the underpinning requirement for companies to increase competitiveness, and data governance is the process and methodology that allows companies to ensure their data is trustworthy, of the highest possible quality, and well understood. Data quality and data governance improve business processes and decision-making across the entire enterprise so organizations can create greater collaboration, reduce costs, find relevant data assets more efficiently, and build trust and compliance.
Build Businesses and Products Around Data
The Art of Possible: New Data Monetization Options in the Data Cloud
VP, Snowflake Data Marketplace, Snowflake
Length: 20 Minutes The cloud contains vast amounts of data, but many challenges prevent organizations from accessing and deriving value from that data. The Data Cloud, powered by Snowflake’s cloud data platform makes it easy for organizations to access, analyze, and securely monetize and share live, governed slices of their data to potentially thousands of data consumers. Learn how Snowflake enables organizations to more easily and cost-effectively source third-party data and how to take advantage of new data monetization options. This session will also detail how organizations like yours securely share data while protecting PII, and how to create new data products and data services.
The Business Impact of Eliminating Frictions in your Data Ecosystem
CFA | VP, Director of Client Technology and Solutions, Factset
Length: 10 Minutes In this session, Snowflake customer FactSet, will detail how you can easily access live, external financial content and integrate it seamlessly with your own internal data using the Data Cloud, enabling company-wide data management, transparency, and governance. Learn how you can leverage secure, simultaneous access to structured and semi-structured data directly from Snowflake Data Marketplace providers, using standard SQL. With the ability to augment your data in this manner, you can drive more business value with an accelerated time to market.
Best Practices for Building Data Applications in the Data Cloud
Field CTO, Snowflake
Length: 20 Minutes Whether you are building a startup or adding features to an existing data-intensive application, the underlying infrastructure and architecture is what will determine its scale, efficiency, and flexibility—and whether your application will gain user traction or not. Snowflake provides builders and developers of data-intensive applications a platform to build solutions that meet the demands of today’s organizations and their customers. Join this session to learn seven best practices for building data applications in the Data Cloud.