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Using Column Functions & Javascript to create customized data error messages in Analyses in DQ+
Using the API Console in DQ+
Connecting to HIVE as a data source in DQ+ 4.3 or later versions.
Using the Uniqueness Check Node to check for duplicate values in DQ+
Grabbing logs from a failed execution in DQ+
Importing an excel sheet Error (DQ+)
Connecting to Postgres in DQ+
Mapping latitude and longitude coordinates
Checking status of Vertica cluster
Creating an Application User

Can you put DQ+ in scalable containers?

Akshita Agrawal

January 17, 2020 15:54
Updated

Question 1) Can we manage a queue of millions of requests and scale-up Infogix processes. Is it possible to put Infogix in scalable containers?

Answer: DQ+ is a distributed system with a load balancer, application server cluster, compute cluster, application DB cluster, and compute DB clusters. Each of these clusters can be independently scaled horizontally or vertically. There is scope for scaling to meet very demanding loads.

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