- Introduction
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How the Integration Works
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Note on Supported Files and Object Storage
- Mapping Data to the LDM
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Getting Started
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Building an LDM From Scratch
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Using an Existing LDM
- Data Source Configuration
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Preparing Your Files
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Configuring Your Cloud Object Storage
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Creating a Data Source in GoodData
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Connection Settings for Your Data Source
- Scheduling Data Loads
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Loading the Data
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Validating the Data
- Advanced Features
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Loading Data Incrementally
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Deleting Data
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Working With Large Files
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Data Distribution
- Summary
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What You Have Learned
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Provide Feedback
Loading Data from Object Storages
Learn how to load your data into the GoodData Platform from various object storage services.
Before you can start building dashboards and analyzing your data in the hosted GoodData Platform, you need to load your data into a workspace. To see a full overview of the available loading and integration methods, to decide which is the best fit for you, review the Data Loading Overview course.
If you have your own Azure Blob Storage or Amazon S3 object storage service, you can take advantage of GoodData’s direct integration functionality. Simply put, you can get the data flowing from your object storage into GoodData in an automated fashion with only minimal configuration required. This will form the primary focus of this course. In the end, we will point you to resources that cover advanced topics like distributing data into multiple tenant workspaces and incremental data loads.
This feature is available to all GoodData plans.
To follow along, you will need:
- An empty GoodData workspace.
- A GoodData user account that has an Admin role in the workspace.
- An instance of an Azure Blob Storage or Amazon S3 with data stored as CSV or Parquet files.