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Online courses are now available.

Solve Your Biggest Data Challenges.
Join the Cloud Analytics Academy.

Champion cloud analytics in your organization with any of the Academy’s three instructional tracks. The industry, expert-led courses will equip you with the building blocks and advanced technical concepts to propel your cloud analytics. Join the Academy and you’ll leave a cloud analytics expert, certified to champion any organization to lead with the cloud.

Who Should Join?

Business Leaders

Hear the latest cloud procurement, project management and implementation best practices.

Technical Experts

Benefit from technical topics such as agile methodology in data warehousing, to the most efficient methods for preparing streaming data for analysis.

Analysts and BI Implementers

Learn about the latest methodologies and technology to foster effective and insightful BI projects.

Cloud Analytics Academy Tracks

2 Sessions

Once you watch and pass the featured sessions, continue your cloud analytics education by taking advantage of one or all of the following tracks.

Executive Fast Track

5 Sessions

Not All Data Warehouses Are Created Equal

There are many options available today, and more being added all the time, for so-called “cloud” data warehousing. But like every evolution in the IT landscape, the abundance of hype and confusing terminology can make it difficult to evaluate your options confidently. This session will give you an overview of the main types of cloud data warehouses, along with a short list of evaluation criteria you can use to vet these options.

Instructor

Chris James

Duo Security

Enabling BI with the Cloud Data Warehouse

More than half of BI projects do not have a successful outcome. Minimize your risks and beat the odds with these helpful tips.

Instructor

Thuy Kim

Age of Learning

Data sharing: Legacy and State of the Art

In today’s world, data is being generated faster than ever before. Organizations invest huge amounts of money into their Data infrastructure but data remains in silos. To really take advantage of Data, Organizations need to share as well as supplement Data for their own advantage. This course provides an overview of why legacy data sharing processes are difficult to manage, fragile, and have inherited security risks, as well as an overview of how cloud-based database technologies can provide a path to overcome these problems.

Instructor

Robert Fehrmann

Snowflake

Guide to a Successful POC for a Cloud Data Warehouse

After investigating different cloud data warehouse solutions, viewing demos, asking questions and meeting with each vendor’s team, you should do a proof-of-concept (POC) before deciding which solution to choose. A POC is a process of testing a solution to determine how well it serves your needs and meets your success criteria. Think of it as a test drive. This session will give you the guidance you need to set up an effective POC.

Instructor

Amy Kaulius

Snowflake

Understanding Your Analytics ROI

Saying your company is “data-driven” is a lot like telling your Tinder dates you like travel and cooking. It’s easy to say, easy to believe, and significantly harder to actually put into practice. The ROI of all the time, talent and money required to build an effective data system can seem daunting. This session shares perspectives and tips for how to measure and improve your analytic output.

Instructor

Joseph Bates

Sharethrough

Cloud Foundation Track

4 Sessions

Bringing Your Data Together in the Cloud

Before you can begin to leverage the benefits of a cloud data platform, you have to get your data loaded. From one-time data migrations to real-time data syncs, this session will provide details on a number of tools and methods for feeding data into a cloud data platform.

Instructor

Todd Beauchene

Snowflake

In the Cloud: ELT vs. ETL

For decades, we have relied primarily on ETL (Extract, Transform, and Load) to get data into enterprise data warehouses. In recent years, ELT (Extract, Load, Transform) has become more viable, and in many cases optimal. What are the fundamental differences in these two approaches? What are the basic use cases and architectural frameworks for each? This session will give you the information you need to decide which approach is best for your organization.

Instructor

Joseph Bates

Sharethrough

The Correct Way to Build a Data Lake

Even though many early attempts at building data lakes have failed to deliver business value, the concept of a data lake continues to have enormous potential. The cloud provides an alternative conduit for building a repository of raw data from many sources and making it accessible to data consumers. This session will explore possible architectures, techniques and technologies you can use to start building your data lake in the cloud.

Instructor

Ashwin Viswanath

Talend

Modern Data Modeling in the Cloud

There’s never been a better time to take advantage of data and analytics using the cloud. With data generated from people, businesses and the Internet of Things moving online and getting instrumented, organizations have an unprecedented opportunity to discover new insights and deliver business results. However, with this opportunity comes complexity; traditional data management tools and techniques aren’t enough to fully realize the potential of data. With greater agility, affordability and the ability to decouple storage and compute, more organizations are turning to the cloud and using a modernized data warehouse as a better approach to data management and analysis.

Instructor

Daniel Mintz

Chief Data Evangelist

Modern Data Analytics Track

4 Sessions

Enabling Data Warehouse Development in the Cloud

It’s a brave new word in the cloud. Or is it? You still need standard processes for development and testing, but now there’s an opportunity to go one step beyond with a cloud data warehouse – you really can have production quality data in dev and test! This session will show you how to support a promotion process from development to testing to production using the features of a modern cloud data warehouse.

Instructor

Steve Herskovitz

Snowflake

Agile Data Warehousing in the Cloud

Moving data infrastructure to the cloud can offer your IT organization improved performance, elasticity, scalability and lower operating costs. It is also an opportunity for your IT team to re-evaluate the current processes, roles and tools used to deliver enterprise data warehouses and identify new ways to increase your agility.

Instructor

Jason Laws

WhereScape

Flexible Data Analytics with Python

In this session, you will learn how to use open source Python packages (such as link) to connect to and query data, regardless of the actual data warehouse used. You will also learn how to analyze and transform data sets in Python using pandas and numpy.

Instructor

Kayvon Raphael

SpringServe

Evaluating Performance for Cloud Data Warehousing

With the cloud, it’s easier than ever to evaluate and compare a variety of data warehousing solutions at scale — you can provision a platform nearly instantaneously and pay for what you use. In this course, you will learn how to design and conduct effective performance tests for cloud data warehousing, and compare results that take into account raw processing power, cost, and elasticity features. Whether you use your own data or work with industry-standard benchmarks, this session will prepare you to execute tests to help you select a next-generation analytics platform.

Instructor

Stuart Ozer

Snowflake

Cloud Analytics Academy Instructors

Tom Davenport

Best Selling Author | Professor at Babson College

Tom Davenport

Best Selling Author | Professor at Babson College

Amy Kaulius

Senior Engineer

Snowflake

Amy Kaulius

Senior Engineer

Snowflake

Ashwin Viswanath

Director, Cloud Product Marketing

Talend

Ashwin Viswanath

Director, Cloud Product Marketing

Talend

Chris James

Data Warehouse Developer

Duo Security

Chris James

Data Warehouse Developer

Duo Security

Daniel Mintz

Chief Data Evangelist

Looker

Daniel Mintz

Chief Data Evangelist

Looker

Jason Laws

VP of Product Management

WhereScape

Jason Laws

VP of Product Management

WhereScape

Joseph Bates

Head of Analytics

Sharethrough

Joseph Bates

Head of Analytics

Sharethrough

Kayvon Raphael

Software Engineer

SpringServe

Kayvon Raphael

Software Engineer

SpringServe

Paul Sears

Partner Solutions Architect Big Data Ecosystem

Amazon Web Services

Paul Sears

Partner Solutions Architect Big Data Ecosystem

Amazon Web Services

Robert Fehrmann

Field CTO

Snowflake

Robert Fehrmann

Field CTO

Snowflake

Steve Herskovitz

VP of Sales Engineering

Snowflake

Steve Herskovitz

VP of Sales Engineering

Snowflake

Thuy Kim

VP of Business Intelligence

Age of Learning

Thuy Kim

VP of Business Intelligence

Age of Learning

Todd Beauchene

Senior Technical Architect

Snowflake

Todd Beauchene

Senior Technical Architect

Snowflake

Stuart Ozer

Field CTO

Snowflake

Stuart Ozer

Field CTO

Snowflake

How Can You Get Certified?

To become a Cloud Analytics Academy Master, complete each of the tracks which include four to five 20-minute courses. Each track takes approximately one to two hours to complete.

Simply watch each course and take the corresponding quiz. You’ll become certified once you complete all courses in a track. Then share your certification with your peers, you managers and on social media such as LinkedIn.

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