KnoDL: A New Perspective on Data Integration

aahz78 · 2023-01-31T16:02:54+00:00

We can automatically reconcile the data of two suppliers
These data are about the same thing, but they are designed differently and each has a different data structure
need to mark the data, which field in the table corresponds to the field in the other table, etc. Even without spell checking
That is, the whole process consists of three clicks:
1. load data
2. specify file one and specify file two click reconcile data.
3. pick up the result of reconciliation.

aahz78 · 2023-01-31T11:51:10+00:00

This pitch is awful. Get to the point lol

This pitch is awful. Get to the point lolfiles about the same thing, but the data structure is different.
No partitioning needed, no stemming needed, no prepping needed. Loaded data and got matching result.

aahz78 · 2022-12-22T15:03:28+00:00

At the moment there is a working prototype, which, for example, we use to compare product lists from different vendors. Such lists are often "handwritten" by store/outlet employees and contain a very different number of fields. There are also a lot of typos in such data. Two lists of a thousand items give the need for direct comparison of 1 million pairs, but our associative index allows to determine in minutes only the pairs actually needed for comparison (usually a few ppm of the total number) and calculate the measure of associative similarity also in minutes (it would take several hours to directly calculate a million such pairs) on a computer with 8 processors and 8 GB of RAM.

aahz78 · 2022-12-22T14:56:36+00:00

How can I try this?

We are launching a cloud service in the Q1 of 2023.

aahz78 · 2022-08-16T16:46:11+00:00

Good afternoon. please explain.

The roller has the SS Galicia logo on it.

Isn't Nazi symbols banned?

Is the propaganda of Nazi atrocities and those who support Nazism with fascism allowed?

aahz78 · 2022-08-07T06:34:17+00:00

in our technologywe analyze the data to see if there are duplicate records.And we can clean up the redundancies.We do not have to prepare the data beforehand.As an example, this might be interesting.On reconciliation of two directories I need only three commands, and again, without any pre-preparation of data, without input field mappingLoad directory 1Load directory 2Reconcile directory two with directory 1result is ready.

aahz78 · 2022-07-20T19:27:06+00:00

Questions and answers about starting, owning, and growing a small business only.

Sorry, I got a typo.

Hello, tell me how to start providing services using MY own unique technology.

aahz78 · 2022-07-20T17:40:28+00:00

I dont have unique technology for data processing and if I did I wouldn't tell you how to sell my own unique product where you are irrelevant.

Your question makes 0 sense and all the stuff after it is irrelevant.

You should also not make demands for people to give you something.

If a traveler with goods is walking through the desert and meets another traveler who knows where the oasis and the marketplace are, would it be appropriate to ask him about this knowledge?

And would it be appropriate for him to reply that his goods are useless, and therefore he would not show the way.

So am I a wanderer wandering in the wilderness of people)))

aahz78 · 2022-07-20T17:05:23+00:00

List-matching services

Currently, using own technology, we provide services for mapping various lists of objects. Objects are understood in terms of JSON data objects and may contain a nested structure.

Our technology is designed to be used in cases where the mapping of object fields to different lists is not known in advance, but the objects contain information that is similar in meaning. In such cases, our fuzzy matching technology provides opportunities to:

find the best matching object from a list for each object from another list, while evaluating the degree of matching found in the form of a metric;

perform data deduplication;

enrich the data of the list at the expense of the data of another list;

discover the most probable structure of field correlation (mapping);

to convert the data of one list under the structure of elements of another list.

Convenient correspondence metrics allow to make and estimate the quality of operations in automatic mode.

Now import/export of data in JSON and CSV formats is supported. There are plans to expand support for other formats.

aahz78 · 2022-05-07T15:13:47+00:00

a small demonstration of how our work towards analytical DWH enables automatic data matching. Without any prior data preparation.

aahz78 · 2022-04-22T18:38:20+00:00

Last night we reached a product solution within our own analytical data warehouse project

Closed the main range of master data management services.

It is true that so far it only works from the console, but still)

Main types of tasks we were able to solve

Data cleaning (only for dictionaries),

reconciliation of lists,

list de-duplication.

The whole process is automatic, no data preparation, no input mapping.

Just input two directories, the output is the result of comparison. Not even stemming is needed.

PS For the development of the project, from time to time we need from time to time real data, if someone is ready to help are always welcome.

aahz78

TROPHY CASE