Capacity & Performance Data Lake

An ITBI™ AI Developer Access license allows customers to determine what data are going to be stored in the ITBI Data Lake, at what level of granularity and for how long time.

The access is then granted to the customer for both ad hoc queries and downstream tasks (programmatic access).

ITBI Data Lake access allows customers to do the analysis of their choice directly on own data and with the tools of their choice.

Customers with AI Developer license have a Data Lake option they can select from the ITBI Portal Menu after logon. This presents three options: AI Developer, Access Credentials and Data Model Documentation.

One-off queries

One-off queries can easily be initiated by clicking on the AI Developer menu entry. This simple action takes the data analysts directly into the Data Lake, specifically, into Amazon Athena. The data analyst will be presented with a query window where it is possible to execute queries directly against the Data Lake. One-off queries can be executed using SAS or WPS analytics.

Downstream tasks and programmatic access

From the ITBI Portal, Data Lake downstream tasks are initiated via the menu entry Access Credential. The Portal generates credentials for data analysts. Data scientists, data analysts, data engineers or other analysts within the customers’ organizations can use the credentials to integrate access to the ITBI Capacity & Performance Data Lake using SQL, PythonRJulia or other programming languages of their preference.

Machine Learning (ML) and AI (Artificial Intelligence) tools can also be applied to the ITBI Data Lake.

Main functions

Direct developer access to the ITBI Data Lake

Customization of data retention

Ad hoc-queries

Customization of data granularity

Possibility of choosing what additional own data to gather from own infrastructure in addition to standard measures of capacity and performance

Gathering data from complex Hybrid IT infrastructures: Mainframes, Server Environments, Private Clouds, Public Clouds as well as from various SaaS solutions

Use of preferred analytical tools: SAS, WPS, SQL, Python, R, Julia and many others

Programmatic access