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  • Informatica Data Quality 10.5.1
  • All Products

Table of Contents

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  1. Preface
  2. Part 1: Version 10.5.1
  3. Part 2: Versions 10.5 - 10.5.0.1
  4. Part 3: Versions 10.4.1 - 10.4.1.3
  5. Part 4: Versions 10.4 - 10.4.0.2
  6. Part 5: Versions 10.2.2 - 10.2.2 HotFix 1
  7. Part 6: Version 10.2.1
  8. Part 7: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.1)

What's New and Changed (10.5.1)

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Date/Time Format on Databricks

Date/Time Format on Databricks

Effective in version 10.4.0, when the Databricks Spark engine reads and writes date/time values, it uses the format YYYY-MM-DD HH24:MM:SS.US.
Previously, you set the format in the mapping properties for the run-time preferences of the Developer tool.
You might need to perform additional tasks to continue using date/time data on the Databricks engine. For more information, see the "Databricks Integration" chapter in the
Data Engineering 10.4.0 Integration Guide
.
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