Kong is an extremely popular way to quickly and securely manage your RESTful APIs. Moesif is a great addition on top of Kong to cover everything from analytics to helping you set up metered billing. Join Dylan as he shows users how to integrate Moesif with Kong Gateway Enterprise Edition. In this tutorial, we will cover how to: Powerful API analytics, a perfect companion for your API Gateway, is only a few moments away.

Tal Shaked has a long history with machine learning and AI, and he's brought all that experience and energy to Snowflake. Felipe Hoffa talks to Tal about why he's excited about building on Snowflake, making ML accessible to everyone, and enabling customers to use ML/AI to help grow their businesses. Want the inside track on Snowflake's approach to ML and the newest tech announcements? Tune in to Snowflake's YouTube, LinkedIn, or Twitter channels June 14-16 for exclusive livestreams direct from Snowflake Summit in Las Vegas.

Want to bring data from BigQuery into your Google Cloud AI models? In this video, we’ll show you how quickly you can start exploring your BigQuery data using Vertex AI Workbench. Watch to see how you can set up a single interface for your model development needs!

Did you know there is native integration between Vertex AI and BigQuery ML? With unified cloud data, your machine learning pipelines will have multiple options for training and storing/accessing data. Watch along and learn about the new native integrations between Vertex AI and BigQuery ML for Google Cloud.

In this episode of Kongcast Kaitlyn talks with Giora Engel, Co-Founder and CEO from Neosec, about modern API threads, protecting APIs and their partnership with Kong. Hosted by Viktor Gamov and Kaitlyn Barnard, we interview software developers and technology leaders at the top of their game every other week. We’ll also give you the tools, tactics and strategies you need to take your distributed architectures to the next level. Kongcast goes beyond the buzzwords and dissects real-life applications and success stories so that you can tackle your biggest connectivity challenges.

If you’re new to the world of large-scale data analytics, this session is for you! We'll cover the basics of what problems Apache Spark can solve, why and when to use Spark, and how Spark enables efficient use of time and computing hardware. We’ll also demonstrate how easy it is to run a PySpark job in the public cloud using the Data Science Workbench and Cloudera Data Engineering Products.

For our Linux machines, we've just doubled vCPUs from 2 to 4, from 4 to 8 and from 8 to 16. and we’ve also doubled memory on all Linux compute options, from 8 to 16 GB, from 16 to 32 GB and from 32 to 64 GB. This means your Android builds will now run on average 30% faster, using fewer credits per build than before.

Don’t miss our engaging conversation with Alex Rasmussen, Principal Cloud Economist at The Duckbill Group.

On this episode Lauren is joined by Michael Dortch; who now writes at DortchOnIt.com. Lauren and Michael discuss the importance of data and how it is all around. They also dive into how a data-oriented person is someone who is interested in how the facts line up, and figuring out how to make better decisions based on that information. Key Takeaways Quotes

In this episode of “Powered by Snowflake,” Daniel Myers chats with Uri May, Co-founder and CEO of Hunters, a three-year old company that is bringing new levels of data integration to the world of network security operations. “Our differentiator,” May explains, “is that we want to seamlessly integrate as much data as possible. And that is something Snowflake facilitates very well because of its ability to scale, its performance, and even its business model of paying for storage and compute with different credits. We believe that more data means better efficacy, more accuracy, and faster detection times.”