IBM software
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ISV solution distribution
Get an overview of our ISV partner solutions, which we distribute together with our strong ISV partners.
Informix TimeSeries Data
Termin: Auf Anfrage | Dauer: 1 Tage | Ort: Ludwigsburg
Das abschließende Thema „TimeSeries Data“ beschreibt das neue Datenformat und die Vorteile der komprimierten Datenspeicherung
Informix Warehouse Accelerator (IWA)
Date: On request | Duration: 2 days | Location: Ludwigsburg, Hamburg or on site
In this course, you will learn in a compact form the design, setup, installation, configuration and application of the Informix Warehouse Accelerator (IWA).
Informix server replication and high availability (HA)
Date: On request | Duration: 2 days | Location: Ludwigsburg, Hamburg or on site
In this course, you’ll learn to replicate and use, monitor, and manage essential Informix high availability features (HDR, SDS, RSS CLR).
Informix server administration (extension)
Date: On request | Duration: 3 days | Location: Ludwigsburg, Hamburg or on site
In this course, you will learn to monitor the database in daily operation, to operate it safely and to optimally use the available functionalities.
Informix server administration (basics)
Date: On request | Duration: 3 days | Location: Ludwigsburg or Hamburg
In this course, you will learn to monitor the database in daily operation, to operate it safely and to optimally use the available functionalities.
Informix administration using the sysmaster database
Date: On request | Duration: 4 days | Location: Ludwigsburg
In this seminar you will learn the internal structure of the database server and the optimal handling of the sysmaster database tables.
Informix IDS Backup and Restore
Date: On request | Duration: 1 day | Location: Ludwigsburg
With “Backup and Restore” we would like to discuss the various possibilities of data backup apart from the ontape tool.
Informix SQL optimization
Date: On request | Duration: 3 days | Location: Ludwigsburg
The topic “SQL optimization” not only covers the topic “Finding and optimizing problematic SQL statements”, but also demonstrates the advantages of parallelized queries.