Cloud architectures enable a new level of integration with 3rd party systems and data sources to deliver the services our users and customers are looking for.
Modernizing ETL For Cloud
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Streaming Graph
Ingest and Analyze Log Files Using Streaming Graph
This blog shows you how Quine streaming graph can ingest multiple log formats to create a single, unified streaming graph for real-time analysis.
Ingesting From Multiple Data Sources into Quine Streaming Graph
Ingest multiple data sources into Quine in order create a single streaming graph. ETL basics and Cypher queries are covered.
Ingesting data from the internet into Quine Streaming Graph
A step-by-step guide to ingesting data into Quine from live internet streams. ETL basics and Cypher queries are covered.
Building a Quine Streaming Graph: Ingest Streams
Part one in a series connecting different data producers to Quine streaming graph. Use Cypher to create ingest queries (ETL).
Time Series Streaming Graph and other Quine 1.2.0 Highlights
Quine 1.2.0 release sees significant new features, recipes, and performance enhancements.
Your Graph DB Won’t Scale? Stop Querying it.
Stop approaching streaming data the same way you do persistent data. Teach the stream to tell you when something interesting happens.
Key Concepts to Help You Get Started With Streaming Graph
Advice and key concepts about Quine streaming graph that will accelerate your development.
The Evolution To Streaming Graph from Graph Databases
When it comes to event-driven applications, graph database users require a new approach: streaming graph.
Let’s Talk Streaming Graph! (with demo)
Ryan Wright (CEO of thatDot) joins Joe Reis and Matt Housley on the TGIF! Let’s Talk Data live show to chat about streaming graphs.
Quine Streaming Graph Scales to 1.1 Trillion Log Events per Month
Learn how Quine streaming graph achieved a sustained rate of recording 425,000 records per second into our streaming graph.
Data Exfiltration Detection in AWS CloudTrail Logs Using Categorical Data
This blog on AWS data exfiltration detection explains the use of categorical data in anomaly detection to identify multi-stage exploit campaigns in AWS CloudTrail logs.
What Is Categorical Data? Comparing it to Numerical Data for Analytics
Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else.