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This is an end-to-end onboarding sample for SAP HANA Cloud, relational data lake. It shows how to create schema, load data, and execute queries.

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SAP-samples/hana-cloud-relational-data-lake-onboarding

REUSE status

Description

This project is for SAP HANA Cloud, data lake users who are reading one of the following tutorials on SAP Help Portal:

For the two Data Lake (HANA-DB-Managed) tutorials, this project contains three sample files:

  • event_samp.CSV
  • gkg_samp.CSV
  • mentions_samp.CSV

For the Quick Start Tutorial for Data Lake, this project contains four sample files in the TPCH folder:

  • customer.tbl
  • nation.tbl
  • region.tbl
  • supplier.tbl

Download these files to your local file system as described in the tutorial you are following.

Requirements

On the SAP Help Portal, you are currently following one of the Quick Start tutorials for SAP HANA Cloud, data lake:

You've read the Prerequisites section on the first page of the above tutorial(s).

You've read the Tutorial Scope section on the first page of the above tutorial(s).

Download and Installation

The tutorials ask you to download specific sample files:

The Download and Analyze Sample GDELT Data topic in the HANA DB-Managed tutorials asks you to download these three CSV files:

  • event_samp.CSV
  • gkg_samp.CSV
  • mentions_samp.CSV

The Download and Analyze Sample TPCH Data topic in the Quick Start for Tutorial for Data Lake asks you to download these four files:

  • customer.tbl
  • nation.tbl
  • region.tbl
  • supplier.tbl

Download these files from this GitHub repository to your local file system, and continue reading the Quick Start tutorial.

Known Issues

None.

How to obtain support

Are you experiencing difficulties loading sample data into SAP HANA Cloud, data lake?

License

Copyright © 2020 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE.

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This is an end-to-end onboarding sample for SAP HANA Cloud, relational data lake. It shows how to create schema, load data, and execute queries.

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