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Latest Videos

Tech Talk - Service Mesh and GitOps Beyond Kubernetes

The #container adoption journey may be simple for experienced practitioners in greenfield development -but many established enterprises still face the daunting beginning of this journey, carrying the weight of complex monolithic applications on traditional compute. Join Kat and Christian as they extend #servicemesh and #GitOps beyond the boundaries of #Kubernetes. In this talk, you’ll learn.

The Data Cloud & Public Sector With Deloitte

Welcome to Data Cloud Now, where we are dedicated to illustrating how the Data Cloud is pushing the possible forward, each and every day. In this episode we are exploring the impact it’s having within the public sector. Explore the impact the Data Cloud is having within the Public Sector with special guests Deloitte’s Monica McEwen & Frank Farrall along with Snowflake’s Jeff Frazier.

Following your local happiness gradient - Dr. Catherine Williams

This episode features an interview with Dr. Catherine Williams, Global Head of IQ at Qualtrics, an experience management software platform. Catherine has extensive background in data science and quantitative analytics. Prior to Qualtrics, Catherine served as Chief Data Scientist and Chief Data and Marketplace Officer at AppNexus and Xandr, which is part of AT&T. Catherine holds a Ph.D. in Mathematics from the University of Washington. She has also held postdoctoral fellowships at Stanford and Columbia Universities. On this episode, Catherine discusses growing a machine learning approach to unstructured data, using data to get to the “why” of customer behavior, and following your local happiness gradient.

Integration testing made easy with Oleg Šelajev | Kongcast Episode 21

In this episode of Kongcast, @Viktor Gamov , a principal developer advocate at @Kong joined by @Oleg Šelajev , Head of DevRel at @AtomicJar to talk about testing complex infrastructures (data systems, microservices, messaging systems) using containers, and specifically open source library called Testcontainers.

Ep 59: New Zealand's Crown Research Institute CDAO, Jan Sheppard on Treating Data as a Treasure

Treating data as a treasure is a foundational principle for Jan Sheppard, the Chief Data and Analytics officer at New Zealand’s Crown Research Institute of Environmental Science and Research (ESR.) This agency leads ongoing research in public health, environmental health, and forensics for the country of New Zealand. Like many other CDAOs, her role is relatively new. But the unique values she applies to data can be traced back many hundreds of years to the indigenous Maori people of her country. Through her work, Jan recognizes the profound impact data can have on people and their environments for generations to come.

Developing More Accurate and Complex Machine-Learning Models with Snowpark for Python

Sophos protects people online with a suite of cybersecurity products. Hear Konstantin Berlin, Head of Artificial Intelligence at Sophos, explain how the Snowflake Data Cloud helps Sophos increase the accuracy of their machine-learning models by allowing data scientists to process large and complex data sets independent of data engineers. Through Snowpark, data scientists can run Python scripts along with SQL without having to move data across environments, significantly increasing the pace of innovation.

Webinar: Unlocking the Value of Cloud Data and Analytics

From data lakes and data warehouses to data mesh and data fabric architectures, the world of analytics continues to evolve to meet the demand for fast, easy, wide-ranging data insights. Right now, nearly 50% of DBTA subscribers are using public cloud services, and many are investing further in staff, skills, and solutions to address key technical challenges. Even today, the amount of time and resources most organizations spend analyzing data pales in comparison to the effort expended in identifying, cleansing, rationalizing, consolidating, and transforming that data.

Enterprise data and analytics in the cloud with Microsoft Azure and Talend

The emergence of the cloud as a cost-effective solution to delivering compute power has caused a paradigm shift in how we approach designing, building, and delivering analytics to business users. Although forklifting an existing analytics environment into the cloud is possible, there’s substantial benefit for those that are willing to review and adjust their systems to capitalize on the strengths of the cloud.