Uniting the World's Data.

Frequently Asked Questions.

What is enCapsa?

enCapsa is a new way of combining, managing and sharing different types of information by storing them in a single unitary space. It allows, for example, data from two or more tables to be merged without having to worry about their structure or to do anything to the data first.

What can enCapsa do for you?

enCapsa lets you effortlessly combine data, documents and images and place then in a single store. With enCapsa you can quickly merge different types of data to get meaningful insights into the combined information without the hassle of having to map, scrub or massage it first.

What is enCapsulation?

enCapsulationis what allows two or data elements of differen types to exist ina single space. It is the process of breaking two or more data tables, or document meta data, into smaller elements called Digital Stems CellsTM or DSCsTM for short, so that they can be searched like one table.

Why enCapsulate a data table or file?

Because searching different data tables which are often structurally different is hard, you need a way to look at them so that they can be stored and searched more easily. enCapsulation allows data from different files to exist in the same space so that they can be searched easily without having to worry about their structure.

Why is structure a problem?

Combining two or more data tables is messy. For tables to be combined you have to know each table’s structure or schema so that you can know what field in one table corresponds to the same or similar field in the other. This is called mapping and it is what allows us to do searches across different data tables. However, mapping, as a process is time consuming and tedious.

How does enCapsulation solve this problem?

enCapsulation breaks data table records down to elemental units called DSCsTM so that records from different tables or files become essentially the same. enCapsulation makes structure unimportant in any search or analysis of combined data tables because you are searching these smaller elements which are structurally the same and not the whole table which might not. With enCapsa there is no need to map or scrub the data first.

Why is enCapsulation easier?

With enCapsa you can use any ingest tool to import data from different sources into the enCapsa space and they are quickly merged with the other tables or metadata in your enCapsa store. That’s it. No need to map. No need to scrub. No need to diagram. Just drag and drop and instantly it is available to be searched and analyzed.

Does enCapsa only deal with data tables?

No. enCapsa also allows you to add documents, spreadsheets, PDFs and images. In each of these instances enCapsa extracts and encapsulates, where possible, the text and the metadata attached to the file.

Is enCapsa intended to replace existing data stores?

enCapsa is not a database or data table per se, but a means of storing information from multiple data sources, esecially tables, so that differences between the sources are structurally irrelevant. These enCapsa stores can be in traditional databases, they can sit beside production databases with constantly updated content, or they can exist as stand-alone systems in their own right.

How does enCapsa support varying data formats?

This is the power of enCapsulation. With the help of a parser, enCapsa reduces data, documents and files to certain elemental parts, we call DSCsTM, that can be searched and analyzed as though they were in one table. enCapsa through this website, has built in parsers for the more common file types and metadata (csv, docx, pdf, png, jpg, txt). New parsers are being added all the time. enCapsa, through this site, can also connect directly to remote SQL databases. However, the true power of enCapsa is through the API were you can build or utilize ingest tools of your own choosing to enCapsulate data. When you connect your tools to the API, you will have the power to search your entire data universe in one application.

So how does enCapsa help you analyze data?

By breaking down data tables to these elemental units you can easily analyze pure search results in a fraction of the time it would take otherwise. For example, in an enCapsa store of several employee of human resource related data tables you can easily find out in which cities people live by simply employing a search for the people who work for the named company and then selecting cities as your analytical or graphing field. enCapsa will show you the distribution of cities even though the data might have come from many differently structured tables or metadata.

How does enCapsa enable searches?

enCapsa uses one of the most powerful search engines on the planet this allows you to perform quite rapid and sophisticated searches of vast amounts of information. Once enCapsulated, you can perform powerful searches across multiple data tables without having to do anything to the data first.

How secure is enCapsa?

enCapsa’s ability to hide relationships between sensitive data elements provides the necessary security to meet data security requirements, as confirmed by Mr. John Parmigiani, (retired) Director of Enterprise Standards, U.S. Healthcare Finance Administration (he literally wrote the HIPAA data security standard). enCapsa meets the requirements as set for in: HIPAA, 42CFR Part 2, 21CFR Part 11, SOX, PCI, GLBA, FISMA, ISO 17799-2005, BASEL.

How is enCapsa Delivered?

enCapsa is delivered in one of two ways. Primarily as a set of webservice calls you make to the API in our domain http://objects.enCapsa.com. Data is stored securely in our datacenter for you to search using specific calls to the API. The enCapsa API can also be installed on a box within your firewall. Calls can then be made, either internally or externally, to the API in your domain.

What is the enCapsa API?

The enCapsa is a name we give to a set of function calls that can be made to our groundbreaking softwareI. Each is a simple call to a Web service to either store or retrieve disparate data. Functions exist to upload form or table data as well as files of various types. They also exist to retrieve disparate data either as atoms of data, full records or an entire file.