Remove blogs aws-serverless-applications
article thumbnail

Top 5 Data Ingestion Tools

Pure Storage

Top 5 Data Ingestion Tools by Pure Storage Blog A data ingestion tool facilitates collection of data from multiple locations and stores it in a location for further analysis. A storage ingestion tool makes it possible to pull data from all necessary locations and store it in the target location for your applications.

article thumbnail

Implementing Multi-Region Disaster Recovery Using Event-Driven Architecture

AWS Disaster Recovery

In this blog post, we share a reference architecture that uses a multi-Region active/passive strategy to implement a hot standby strategy for disaster recovery (DR). Deploying your multi-Region workload with AWS CodePipeline. Fail over with event-driven serverless architecture.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The 4 Best Vector Database Options for your LLM Projects

Advancing Analytics

They are even better than their NLP predecessors due to their generative capability, allowing them to produce human-like text based on context, making them a fantastic tool across a broad spectrum of applications, from content creation to natural language conversations. What is a Vector Database? Vector Databases Right, on to the good stuff!

article thumbnail

Data and AI Summit 2022 Announcements

Advancing Analytics

Over the next week or so, the team will be publishing more blogs and videos to recap the event and offer opinions of the announcements, so keep an eye out for those. Will most likely open up better integration for IDE’s such as VSCode, but also means other lightweight applications will have a way of submitting Spark jobs.

article thumbnail

Data Fabric vs. Data Lake vs. Data Warehouse

Pure Storage

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.