Enabling Developers

conDati: How I Built [and Sold] A Web-Performance Analytics-as-a-Service Company

This session is for application and company builders. Ken will share his experience developing analytics applications on Snowflake. He is currently the CEO of conDati, a marketing analytics solution using real-time ML on Snowflake. Before conDati, Ken was CEO of SOASTA (acquired by Akamai) and one of Snowflake’s early alpha customers, recognizing the unique capabilities to power the analytics stack.

SPEAKER
Ken Gardner
CEO, conDati

Cross Screen Media: Snowflake as the Foundation for Media Planning

When you’re still finding product and market fit, you can’t afford to build infrastructure or spend time on features that don’t directly lead to discovering what customers will pay for. Learn how Cross Screen Media uses Snowflake to iterate quickly on ScreenSolve, a data-intensive media planning product for local video advertising, with a small development team and no operations support. You’ll also hear the tips and tricks learned along the way.

SPEAKER
Pete Sheridan
CTO. Cross Screen Media

GitLab: Doing DataOps the Right Way

Are you struggling to bring proper DevOps practices to your data systems? At GitLab, we’re working to bring the best of the DevOps revolution to our data team, pioneering a «DataOps» way of working. In this session, we’ll discuss how to use version control, open-source software, and Snowflake as the cornerstones of a world-class DataOps practice. By properly leveraging our DataOps processes, we have increased both the quantity and the quality of analytics at GitLab.

SPEAKER
Thomas Lapiana
Senior Data Engineer, GitLab

Lacework: Building a Cloud Security and Compliance App at Scale on Snowflake

Lacework delivers a cloud security and compliance application at scale for its customers’ critical security needs. In this session, you’ll learn about how Lacework evaluated SQL vs NoSQL for its application and why it chose SQL with Snowflake. Lacework representatives will talk about why Snowflake was the right choice because of its need to deliver both speed and scale in its application. Lacework will also talk about various unique Snowflake features that made it easier to develop its platform on top of Snowflake and deliver better value to its customers.

SPEAKER
Vikram Kapoor
Co-founder and CTO, Lacework

Sendgrid: Migrating to Snowflake to Free Resources and Enable Nontraditional Use CasesChoosing Snowflake for Twilio SendGrid Applications

More than 15,000 paying marketers use Sendgrid’s marketing applications to send more than 2.5 billion emails a month. Being a customer-facing application with a massive underlying data set introduces challenges and requirements that many data warehouses can’t accommodate. Sendgrid has moved from a limiting and inefficient on-premises solution to being completely cloud native with Snowflake. Find out how Sendgrid’s migration has freed teams to focus on building features, not provisioning more hardware and configuring clusters. Sendgrid achieved faster developer velocity and increased performance and capacity on a much simpler design. In this session, you’ll also learn some nontraditional use cases for Snowflake and some challenges for building a customer-facing application on a data warehouse.

SPEAKER
Brad Culberson
Senior Principal Engineer, Sendgrid

Square: Delivering a Self-Service Data Engineering Platform on Snowflake

With Square’s acquisition of Weebly’s web hosting service, Weebly’s data engineering team migrated to Square’s data warehouse. Along the way, the Weebly team built a platform on top of Square’s warehouse to give data consumers self-service data engineering capabilities, thereby mitigating manual labor. Attend this session to hear the process and tools used—change data capture, pipeline management, and pipeline acceptance tests—to build this platform and how Snowflake’s features made the dream a reality.

SPEAKER
Jason May
Senior Data Engineer, Square

Enable modern Test/Dev with Snowflake

We know that creating and maintaining test/dev environments has many challenges: test/dev typically has a smaller subset of production databecause creating complete copies is time consuming and costly; on top of that, maintaining multiple environments is administratively challenging.
In this session, you’ll learn new ways of enabling your teams to
instantly create and manage their own test /dev environments whenever they want with no impact to other users. We will also show how your team can run identical test/dev and product environments and seamlessly switch back & forth like never before.

SPEAKER
Mark Jones
Sales Engineer, Snowflake

Snowflake as an Analytics Backend for Your SaaS Applications

Are you building a SaaS startup or adding analytics to an existing app? This session will explore how to use Snowflake’s data warehouse platform to power client facing applications at any scale. It will cover out-of-the-box features like two-way secure data sharing, streams and tasks, reader set up and management, data API, and encryption and security. This session will also cover integrations with other tools and frameworks like ODBC, JavaScript, Python, and Spark to help you innovate faster.

SPEAKER
Kevin McGinley
Field CTO, Snowflake

Salesforce = Snowforce ... Cleaned Salesforce Data with Stitch and Snowflake

Brought to you by Trianz

Doing sales forecasting out of Salesforce was problematic due to manually entered data. Learn how Salesforce used a combination of Stitch, Looker, and Snowflake as its data provider to fix data inconsistencies, incorporate other data, and increase the accuracy of its sales forecasts.

Snowflake API for Developing Analytics Applications

Are you building a SaaS app or adding analytics to an existing one? In this lab, you’ll compare various API design patterns to determine if one is better suited for analytics. You’ll develop a serverless API that leverages Snowflake as an engine for an analytics application. You’ll also learn how advanced Snowflake features such as multi-cluster warehouses and multiple caching layers enable you to build a truly scalable and performant analytics API at a fraction of the cost of legacy systems.