Systems | Development | Analytics | API | Testing

In this episode, Derric sits down with Mike Amundsen, a leader in the API ecosystem, to explore the evolving role of observability in API design and customer experience.

Mastering Apache Iceberg: From Adoption to Scaling Lakehouse 1st Mar'25 2:00PM to 4:00PM IST Cloudera Bangalore Office.

Take control of your API development process with Insomnia's powerful testing toolkit. In this hands-on workshop, you'll learn essential techniques to validate, debug, and improve your APIs. Whether you're building integrations or maintaining existing services, you'll gain practical skills to catch issues early and streamline your development workflow. In this workshop, we'll focus on foundational concepts and getting started with Insomnia. We'll show you how to.

This month's edition of the Snowflake Snow Report provides information on Snowflake's Data for Breakfast events and the Accelerate 2025 virtual event series. It also provides details on Snowflake Cortex Agents, now in public preview, pandas on Snowflake, Snowflake ML, and much more.

Are your Snowflake ETL pipelines silently draining your budget? With 80% of data management experts struggling to accurately forecast cloud costs (Forrester), the efficiency of your ETL processes is more crucial than ever. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to optimize your Snowflake ETL pipelines for cost and performance.

Data contracts aren't just a buzzword—David Araujo, Director of Product Management at Confluent, explains they’ve been hiding in Apache Kafka all along.

With technological innovation accelerating at an unprecedented pace, businesses are challenged to rethink their approach and empower employees to stay competitive. Sadie St. Lawrence, Founder & CEO of the Human Machine Collaboration Institute, joins us to explore how organizations can navigate the transformative power of AI.

As AI continues to advance, the ethical use of the tool has been widely (and hotly) debated. Often described as a double-edged sword, AI offers both transformative potential while also raising significant ethical questions. When and how should AI be used? Who is accountable if something goes wrong? Will AI actually take over the world?