Systems | Development | Analytics | API | Testing

Fivetran Demo: Rethinking RAG-based Gen AI with Fivetran, Snowflake, and private, structured data

Imagine building your own personalized California wine country visit assistant based on a private, structured dataset and a RAG-based approach to Gen AI. This video walks you through the process step-by-step. First, you’ll learn how to use Fivetran’s automated data movement platform to replicate a custom, structured winery and vineyard visit dataset (wineries and vineyards across all California wine country regions) from a relational database source to the Snowflake Data Cloud.

Does Your Organization Need a System Integrator?

Companies often face challenges integrating various systems and technologies. A system integrator is an invaluable resource for organizations. Five key takeaways about system integrators: In this article, you'll learn what system integrators do, how to know when you might need one, the benefits of hiring a system integrator, and how to choose the right system integrator for your organization.

How to Get the Unfair Advantage

When you look at stories of great success like these, emotionally it’s tempting to feel like these companies just got the “unfair” advantage – that lucky, elusive edge that set them apart and put them ahead of their competition and into the hearts of their customers. But often, it is something else… In my role as Chief Strategy Officer at Qlik, I have been looking at this more formally with my team.

Kafka Live Stream #26 | Rapid development for real-time analytics with @Implydata

How can engineers enable real-time insights when working with high-throughput, data-intensive streams? In this 30-minute session, Imply and Lenses.io show you how to Enable self-service access for developers working with critical, high-velocity data flows in #apache #kafka Ingest and normalize complex data structures, enabling real-time analytics at scale via modern databases like #druid.

16 Ways Insurance Companies Can Use Data and AI

There is a growing recognition that insurers can introduce data, analytics and AI into virtually all of the important insurance functions and workflows, including product development, pricing and risk selection, underwriting, claims management, contact center optimization, distribution management, reinsurance, and understanding and shaping customer journeys. Here are some of the exciting ways insurance companies can put data to work.

Fivetran Demo: Securely move your data to Databricks with Fivetran's new Hybrid deployment option

Securely move all of your data from one platform with Fivetran's new Hybrid deployment option. Move security-restricted data with pipelines hosted in your own environment, controlled by Fivetran's easy-to-use control plane.

Commercial vs. Self-Hosted LLMs: A Cost Analysis & How to Choose the Right Ones for You

As can be inferred from their name, foundation models are the foundation upon which developers build AI applications for tasks like language translation, text summarization, sentiment analysis and more. Models such as OpenAI's GPT, Google's Gemini, Meta’s Llama and Anthropic’s Claude, are pre-trained on vast amounts of text data and have the capability to understand and generate human-like language.