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  1. Preface
  2. Part 1: Version 10.5.5 - 10.5.5.x
  3. Part 2: Version 10.5.4 - 10.5.4.x
  4. Part 3: Version 10.5.3 - 10.5.3.x
  5. Part 4: Version 10.5.2 - 10.5.2.1.x
  6. Part 5: Version 10.5.1 - 10.5.1.1
  7. Part 6: Versions 10.5 - 10.5.0.1
  8. Part 7: Versions 10.4.1 - 10.4.1.3
  9. Part 8: Versions 10.4 - 10.4.0.2
  10. Part 9: Versions 10.2.2 - 10.2.2 HotFix 1
  11. Part 10: Version 10.2.1
  12. Part 11: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.5.1)

What's New and Changed (10.5.5.1)

Upload Files to the Data Lake

Upload Files to the Data Lake

Effective in version 10.4.0, you can upload several file formats from your local drive to the data lake.
You can choose from the following upload options:
Upload a file directly to the data lake.
You can upload a comma delimited file, an Avro file, a JSON file, or a Parquet file in UTF-8 format directly from your local drive to the data lake, without previewing the data. You might choose this option if you want to upload a file without previewing the data.
Allow CLAIRE to determine the file structure, and then upload the file to the data lake.
You can upload the data in a comma delimited file or a Microsoft Excel spreadsheet to the data lake. When you upload the file, Enterprise Data Preparation uses the CLAIRE embedded discovery engine to determine the structure of the file and display a preview of the data.
When you use this option to upload an Excel spreadsheet, the CLAIRE engine discovers the sheets and tables in the spreadsheet. You can select the sheet and table you want to preview.
Uploading an Excel spreadsheet is a preview feature.
Define the file structure, and then upload the file to the data lake.
You can upload the data in a comma delimited file from your local drive to the data lake. When you upload the file, you can preview the data, specify the structure of the file, and configure column attributes to meet your requirements. You might choose this option if you need to modify column attributes before you upload the file.
For more information, see the
Enterprise Data Preparation 10.4.0 User Guide
.

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