Durchschnittliche Bewertung14 Bewertungen
- Gesamt 4/5
- Benutzerfreundlichkeit 3.4/5
- Kundenservice 3.7/5
- Funktionen 4.3/5
- Preis-Leistungs-Verhältnis 3.6/5
Angaben zum Hersteller
- Gegründet 1993
Über Big Data
Integriere alle Arten von Daten mithilfe eines Systems, das dir vorgefertigte Datenparser und Big Data Relationship-Management bietet.
Big Data Funktionen
- Data Mapping
- Richtlinien Managemen-
- Verwaltung von Streichungen
Die hilfreichsten Reviews für Big Data
Bewertet am 5.4.2019
Perfect Data Dictionary
Vorteile: if i have to start, ill start from describing its structure, it is well designed and programmed in such a way where we can extract tons of data in fraction of seconds. its so secure and well organised. Thank you informatica team for providing us such a cool tool.
Nachteile: there is nothing as such using consequences just you need to be perfect and good at programming.
Bewertet am 6.10.2016
Kommentare: Pretty troublesome application. We are able to get most of the work done, however it's definitely a complicated too.
Bewertet am 8.9.2019
Big Data is awesome for data, but should be easier to localize important information.
Kommentare: I really love Big Data and I think it's really helpful for big projects and to work with large comparations.
Vorteile: I like the software because it's possible to work with big files without use a large space and work with big comparations.
Nachteile: I think there are some tools that should be clear and more visual to work better and have a job more intuitive.
Bewertet am 6.10.2016
Kommentare: We had an integration between Salesforce and SAP. We are able to query the needed objects, however the means that we have to create the queries when you are doing parent-child objects is a little difficult. It is not straightforward to do a nested query.
Vorteile: The speed in which you can build a solution.
Nachteile: The inability to do a nested query.
Bewertet am 24.1.2019
Vorteile: It has great connectors for Bigdata and provides great connectivity with different hadoop flavors.
Nachteile: Even one mapper is failed it loads records to the target instead of rollback.