Data Centric

Raw data is fundamental to any data analysis

The primary, original data collected from a source, which has not been transformed, aggregated or changed in any way

The raw data is primary –

the interface secondary

Time Series

All recorded observations, metrics are variable measured sequentially in time, called time series, stored as raw data. Raw data is produced by a recorder, which fetches data from a system, device or sensor, data which has not been modified or changed in any way. The data is saved as CSV flat files on disk.

Universal Format

The original recorded data, available as ascii text, CSV files or plain old sql dump files will always work with any software, user-interface or applications. The raw data never becomes obsolete, old or dated by any technology standards or new software methodologies.

Data Centric

Many software applications are putting effort in providing shiny and modern front-ends. This reflect an interface centric, rather than data centric approach. Any UI will soon become obsolete. Effort should be put in capturing and consolidating raw data. The data is primary, the user-interface secondary.

Open Data

A data centric system will always be able to process and offer original raw data in a simple manner for usage, without constraints. The data can be made available directly for download or accessible over a programmable interface which other programs and applications can use.

Kronometrix can help to

capture and consolidate

the right data

Data Recorders

Using data recorders, a simple to use, data collection package with a low memory and system footprint, supporting raw data, you can capture the right performance metrics from enterprise ICT, Industrial IoT to weather and environment devices.

Consolidate Data

It is easy to bind different data coming from one or many data sources in a single raw data file. For example different sensors can produce different metrics and parameters which can be consolidated as a single data message, and raw data file.

Central Repository

All raw data files are simple to consolidate and saved to a single central repository. This repository can play a very important role to any data analysis process, providing access to fetch, extract and aggregate data as needed for analysis and visualization.

Unstructured Data

Store and access data with no temporal structure, such as a document, a video and image or different log files. This kind of data can grow in size very quickly, requiring a scalable storage system and a RESTful API based applications.

Historical Data

Using a very efficient copy-on-write and compression mechanism, Kronometrix can keep track of long records of historical raw data on regular disks and storage systems. Such way you can keep years of raw data at the lowest cost.

Easy Access

There are different ways to access the raw data: interactive, by downloading  a single monthly archive file, or individual raw data files for each day, and automated using a REST based API for other applications and systems.

No Vendor Lock-in

Having access to raw data means you have full control and unlimited possibilities to conduct your own data analysis process: Using Kronometrix exploratory raw data module, or using other software applications or systems.

Data Strategy

Any organization needs to have a data strategy to protect their own business and at the same time continuously improve. Having access to raw data will help you develop and improve the strategy and set clear key performance indicators in place.

Using a distributed

system architecture

Different Services

Private and Public API

Different Data

Rich Communication

Get in touch

If you have any questions about our products and services, please contact us.