Using BigQuery Omni to reduce log ingestion and analysis costs in a multi-cloud environment
Learn about an architecture built on BigQuery Omni that reduces the overall cost of log analytics by 10x as compared to a traditional approach.
Analytics
Better together: BigQuery and Spanner expand operational insights with external datasets
BigQuery external datasets for Spanner let you browse, explore and query Spanner tables as if they were native BigQuery tables.
RAG: An X-Ray for Your Data
Retrieval Augmented Generation (RAG) is an intelligent assistant that helps you find exactly what you’re looking for in a pile of medical records. Like an X-ray shows you hidden details inside the body, RAG helps you quickly extract precise information from complex data. RAG provides instant, accurate answers—often visualized in charts or summaries that require analysts to produce manually. RAG combines two AI capabilities—retrieval systems and generative models.
One Workflow to Rule Them All
Let’s say you’re leading a company that receives thousands of documents daily. These documents come in various formats like Excel, PDFs, CSVs, and more. And they differ in terms of layout. Before you can analyze the data, your team spends hours sorting, cleaning, and preparing these documents. Most of their time is spent preparing the documents for integration into business systems. Then, a colleague shares how intelligent document processing helped him save time and boost productivity.
Shift Left: Bad Data in Event Streams, Part 2
Alright, I’m back. Time for part 2. In the first part, I covered how we handle bad data in batch processing. In particular, cutting out the bad data, replacing it, and running it again. But this strategy doesn’t work for immutable event streams as they are, well, immutable. You can’t cut out and replace bad data like you would in batch processed data sets.
Unlocking Data Value in the Age of AI and Data Streaming
Imagine getting into your car to head to work on a hot day. Your car already knows and sets the temperature, the ambient lighting, and the music you prefer. Not only that, it optimizes your route, and with Level 3 autonomy, it can even drive you there. But what does the automotive industry have to do on the backend in order to achieve this kind of personalization?
Protecting Customer Data In A Collaborative, Data-Sharing World | OneTrust
In this episode of "Powered by Snowflake," we hear from Ojas Rege, GM of Privacy and Data Governance at OneTrust, about his company's consent and privacy platform, a platform that helps organizations manage customer data in a way that allows for data sharing and collaboration without compromising data security and customer privacy. The conversation includes a discussion about the role Snowflake technology plays in providing this kind of capability as well as an in-depth demo of the OneTrust Snowflake Native Application.
OneTrust Consent And Privacy Platform
View the full "Powered by Snowflake" OneTrust interview here: https://www.youtube.com/watch
#snowflake #shorts #60seconds #data #datacloud #technology #datasecurity #dataprivacy #datacollaboration
Fivetran Demo: Securely move your Oracle data with Fivetran's new Hybrid Deployment
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.
What is the Benefits of Real Time Data?
It’s no secret that more and more organizations are turning to solutions that can provide benefits of real time data to become more personalized and customer-centric, as well as make better business decisions.