Systems | Development | Analytics | API | Testing

MotherDuck’s co-founder and CEO Jordan Tigani sat down with Fivetran’s co-founder and CEO George Fraser to discuss the evolutions in data processing, data lakes and more.

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

The Health Insurance Portability and Accountability Act (HIPAA), established in 1996, keeps individual health information private. It introduced HIPAA EDI (Electronic Data Interchange) Standards to secure electronic health data sharing among healthcare providers, insurers, and related entities. Healthcare EDI sets rules for how data should be formatted when electronically exchanged to ensure secure and efficient communication and reduce manual tasks.

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.

How to make siloed SAP data accessible with automated data integration and a data intelligence platform.

In today’s digital landscape, securing sensitive information is paramount for industries like fintech, healthcare, and e-commerce. These sectors frequently handle sensitive data such as Personal Identifiable Information (PII), Card Holder Data (CHD), Social Security Numbers (SSN), and Personal Health Information (PHI). Ensuring data confidentiality and integrity is essential for regulatory compliance and maintaining customer trust.

PostgreSQL APIs let applications interact with Postgres databases, perform CRUD (Create, Read, Update, Delete) operations, and manage database schemas. Keep reading to learn more about how APIs help you maximize your databases.