Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge

Last year, we introduced the Connect with Confluent partner program, enabling our technology partners to develop native integrations with Confluent Cloud. This gives our customers access to Confluent data streams from within their favorite applications and allows them to extract maximum value from their data.

Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

Everything you've wanted to ask about Event-Driven Architectures | The Duchess & The Doctor Show

For their inaugural episode, Anna McDonald (the Duchess), Matthias J. Sax (the Doctor), and their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll learn why events are a mindset, why the Duchess thinks you’ll find event immutability relaxing, and why your event streams might need some windows. The Duchess & The Doctor Show features a question-driven format that delivers substantial, yet easily comprehensible answers to user-submitted questions on all things events and eventing, including Apache Kafka, its ecosystem, and beyond!

Revolutionizing The Data Cloud With Snowflake CEO Sridhar Ramaswamy

To kick off the fifth season of "The Data Cloud Podcast," host Steve Hamm is joined by Snowflake CEO Sridhar Ramaswamy. In this episode, Sridhar explains why organizations need to have a data strategy in order to implement a successful AI strategy. He also discusses the steps involved in creating a foundation model from scratch and why he believes AI is the glue that will bind enterprise software together.

Data Dashboard Essentials: What You Need

For even the most tech- and data-savvy individuals, working with the levels of raw data produced by businesses today is overwhelming. Well-executed data dashboards solve this problem by eliminating the noise and drilling down to just the data points necessary at that moment. A data dashboard's dynamic nature helps your team get the most up-to-the-minute information right when they need it.

Accelerate Your Time Series Analytics with Snowflake's ASOF JOIN, Now Generally Available

Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.

All You Need to Know About Data Aggregation

Data aggregation is the process of combining and summarizing data from disparate sources into a cohesive dataset. It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall.