Datalogue empowers companies
to understand their data operations by
The Datalogue platform captures every request sent through our system, and infers what actions the user is taking based on those requests. This allows our platform to quantify and log user activity at each stage of data operations.
We compile all of that pipeline information into an easy-to-read time to data dashboard.
data from any source or format
the contents of your data according to pre-defined or customizable levels
the data into any format you choose
your data to any destination store(s) you need
Data rarely ends up in one neat, relational database. The huge variety of sources means that data stores exist in a huge variety of formats—from streams to log files, from databases structured to semi-structured, from CSVs to Excels to PDFs and more.
Datalogue converts these sources into a stream of Abstract Data Graphs flowing through your system. This graphical representation lets Datalogue be agnostic to data type, so you can combine data sets across sources into a single view.
Automated systems today can understand data in two ways:
1. by its metadata, and
2. by its type as viewed from a computer perspective (e.g. string, int,bool)
Human understanding of type is far more detailed and nuanced, but isn't scalable with traditional tools.
Datalogue’s Deep Learning-powered data classifier examines each datapoint in its context and labels that data according to its ontological class. Datalogue can accurately classify any class, such as name, organization, phone number, polymer, or part number.
There are many ways to represent the same datapoint. What one doctor calls paracetamol, another names acetaminophen. The 9th of March becomes March 9th under a mile away in some places, and there are a countless other, less obvious transformations that need to happen before data is usable.
Datalogue uses deep learning-powered transformations to automate these class specific transformations, and gives you the tools to build your own class specific rule-based transformations for edge-cases.
With Datalogue automation, you reduce the amount of work normally needed to make these transformations.
Use Datalogue with our simple point-and-click graphical user interface or connect with Datalogue through your favorite API client
With 3 data scientists in a room, you have five favorite tools between them and at least as many preferred data stores. Add engineers and analysts to the mix, and that diversity skyrockets; every data consumer wants data in their format.
Datalogue automates data delivery in any output format required. The system then streams the data to the needed destination: your visualization, storage, and analytics platforms.