Chronon simplifies data computation and serving for AI/ML apps. Users define data features, and Chronon handles batch and streaming computation, scalable backfills, low-latency serving, correctness, consistency, observability, and monitoring.
It allows you to utilize all of the data within your organization, from batch tables, event streams or services to power your AI/ML projects, without needing to worry about all the complex orchestration that this would usually entail.
By infosecbulletin
/ Thursday , July 4 2024
Microsoft's cybersecurity team found two major vulnerabilities in Rockwell Automation's PanelView Plus, a widely used human-machine interface in industrial settings....
Read More
By infosecbulletin
/ Thursday , July 4 2024
Cybersecurity experts found 28 new types of ransomware in June. These malicious programs are a big threat to individuals and...
Read More
By infosecbulletin
/ Wednesday , July 3 2024
ISACA Dhaka Chapter election is going to be held on Saturday (6 July) 2024. This year 23 candidates will fight...
Read More
By infosecbulletin
/ Wednesday , July 3 2024
Google launched a new bug bounty program called kvmCTF to enhance the security of its Kernel-based Virtual Machine (KVM) hypervisor....
Read More
By infosecbulletin
/ Tuesday , July 2 2024
The Brain Cipher ransomware group to release the decryption keys for Indonesia Terkoneksi on Wednesday. They said their attack aims...
Read More
By infosecbulletin
/ Tuesday , July 2 2024
"A critical vulnerability has been identified in the Google Authentication mechanism of the application. By manipulating the ID and email...
Read More
By infosecbulletin
/ Tuesday , July 2 2024
The Apache Software Foundation has found multiple security issues in the widely used Apache HTTP Server. These vulnerabilities could lead...
Read More
By infosecbulletin
/ Tuesday , July 2 2024
An executive from National Australia Bank reveals that the four major banks in the country face continuous attacks, as threat...
Read More
By infosecbulletin
/ Monday , July 1 2024
There is a security flaw (CVE-2024-20399) in Cisco NX-OS Software that lets an attacker with local access execute commands as...
Read More
By infosecbulletin
/ Monday , July 1 2024
Despite the limited manpower and various limitations, efforts are being made to keep the country's cyber space safe, said the...
Read More
Key features:
Gather data from different sources like event streams, DB table snapshots, change data streams, service endpoints, and warehouse tables categorized as slowly changing dimensions, fact, or dimension tables.
Results can be produced in both online and offline situations. In online contexts, they can serve as scalable, low-latency endpoints for serving features. In offline scenarios, they can be stored as hive tables to generate training data.
Real-time or batch accuracy: Choose between Temporal or Snapshot accuracy for configuring the results. Temporal accuracy updates feature values in real-time for online contexts and produces point-in-time correct features offline. Snapshot accuracy updates features once a day at midnight.
Train models faster by using raw data to fill in training sets instead of waiting months to accumulate feature logs.
Utilize the robust Python API, which offers various data source types, freshness, and contexts as high-level abstractions. These are composed of intuitive SQL primitives such as group-by, join, and select, which are further enhanced with powerful features.
Automate feature monitoring by creating monitoring pipelines to assess the quality of training data, measure the difference between training and serving data, and track changes in features over time. Chronon is free on GitHub.