Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Searching through documentation websites or knowledge-based articles to get answers to your specific query is time-consuming? The AI Doc Assist feature in Jet is a fantastic help. Learn how to leverage the capabilities of AI Doc Assist.

Details the functionality and usage of Codezero Teamspaces' Consume function. With Consume, you're able to see and access Kubernetes cluster based services as if they were local on your laptop with no performance degradation or resource constraints. You have to see it to believe it.

In this session, Rahul Verma delves into the possibilities of AI in testing. With the rise of Generative AI, the landscape of testing is evolving rapidly, presenting both opportunities and challenges. Rahul explores the potential applications of AI in testing and discusses where companies are focusing their efforts today, as well as the missed opportunities.

Ravi Kumar, Senior Partner Sales Engineer at Snowflake, demonstrates how to govern and discover data, apps, and more in Snowflake Horizon. In this demo targeted at Data Teams, learn and try the core capabilities of Snowflake Horizon, such as discovering and sharing content.

If you've ever needed to retrieve a single text description in Excel for your financial reports, the GXC formula is your go-to solution. In this video, we'll guide you through the process of creating and modifying a GXC formula, demonstrating how it can seamlessly integrate with GXL formulas to provide specific account segment descriptions. Learn how to set up cell references for dynamic updates, ensuring that your account descriptions automatically update when account numbers change.

Experience the magic of Large Language Models (LLMs) like Gemini, applied to your BigQuery data at scale! BigQuery's Vertex AI integration empowers you to use the Gemini models to analyze unstructured, semi-structured, and structured data - using just SQL.