IBM Cloud Pak for Data – Test-Drive

Homepage:

All functions are accessible on the Cloud Pak for Data start page. Tiles clearly display not only the most recently used projects/catalogs/data, but also indicate open tasks.

All activities or references to data are centrally recorded in catalogs. Data connections to external sources are either centrally specified or newly defined in the project. Projects organize various use cases, assets, analyses and other objects as well as jobs that led to the result. Catalogs organize the technically available assets (if desired) centrally.

Projects

Projects group all objects that are necessary for the implementation of an anayltical use case: Data Assets represent uploaded files or connections to external sources (at the right you see a way to insert elements directly from the central catalag). In Notebooks, for example, statistical analysis is performed in Python.

Project assets

Complementing the manual analysis of data structure and analysis, Cloud Pak for Data offers ready-made functions that, for example, generate statistics about the data set or perform data transformations with simple means. Thus, the basis of data assets is determined quickly and efficiently.

AutoAI:

Complementing the manual development of analytical models and analysis in Python, Cloud Pak for Data can perform multiple preparation methods and analysis at once with the "AutoAI" feature. AutoAI performs, compares, and suggests the best candidate. If desired, this can be manually post-processed.

Catalog:

All technical assets are centrally located in a data catalog. This catalog organizes responsibility, access, links to technical terms, visibility, and much more.

Business terms:

Technical assets and their information are associated with business issues and terms. Business terms are linked to technical assets, other business terms, rules or data classes. In this example, everything starts with the business term "Person", which is linked to a table "PERSON". This has 24 columns and is placed in the schema "Admin". The business term "Person" is composed of the terms "FirstName" and "LastName" and is of the type "Class_Person".

Intelligent Document Understanding: Corpus

The basic function for intelligent document processing is the AI's understanding of its domain, expressed in technical terms and special word order. The creation of a "corpus" marks the beginning of the AI's learning phase. In cooperation with the "domain experts", the corpus is created in a clear interface without any special IT knowledge.

"Intelligent Document Understanding": Intelligent Search.

Intelligent search includes the actual process of source linking with the automated search for keywords, relationships, criteria and facets in the data. The process ends with the output of one or more hits and the transfer to the business process.