Do you have a ton of data sources and do not know how to expose them? Do you know you need a REST API to expose your Snowflake data but don’t know where to begin to build it? Look no further, DreamFactory can take any database and build a fully documented and secure REST API faster than making a sandwich. All you need is your Snowflake credentials and DreamFactory will handle the rest, instantly generating OpenAPI documentation and securing your API by way of API keys. Follow along with the blog!

How to use BigQuery multilingual embeddings, vector index and vector search to search and get results in a chosen language.

This article was originally published on The New Stack on June 10, 2024. Retrieval augmented generation (RAG) has emerged as a leading pattern to combat hallucinations and other inaccuracies that affect large language model content generation. However, RAG needs the right data architecture around it to scale effectively and efficiently.

While cloud computing adoption continues to accelerate due to its tremendous value, it has also become clear that edge computing is better suited for a variety of use cases. Organizations are realizing the benefits of processing data closer to its source, leading to reduced latency, security and compliance benefits, and more efficient bandwidth utilization as well as supporting scenarios where networking has challenging constraints.

Modern edge computing is transforming industries including manufacturing, healthcare, transportation, defense, retail, energy, and much more—pushing data management to far-reaching data sources to enable connected, low latency operations and enhanced decision making. These new use cases shift workloads to the left—requiring real-time data streaming and processing at the edge, right where the data is generated.

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation as well as a set of solutions, each demanding its own tools and complex infrastructure.

Yellowfin 9.12 is an extensive release that incorporates a large number of bug fixes, additional data connectors, and customer requested enhancements. The biggest changes in this release focus on Export and Broadcast capabilities. Yellowfin already boasts exceptional reporting capabilities, and 9.12 adds additional features and performance improvements in this area. Yellowfin also has the ability to connect to just about any source of data.

Written by Noam Wasersprung, Head of Product at ClearML Last month we released the Resource Allocation & Policy Management Center to help teams visualize their compute infrastructure and understand which users have access to what resources. This new feature makes it easy for administrators to visualize their resource policies for enabling workload prioritization across available resources.

Countly 24.05 is here, bringing many updates and enhancements to your favorite product analytics platform. In this article, we'll cover some of the most significant changes, including the introduction of Profile Groups, the revamped Alerts 2.0, redesigned Feedback Widgets, a strategic new Data Populator, and Date Picker Presets. Prefer watching instead of reading? Watch our YouTube video Countly 24.05.