Impulse supports ingesting data from the following external file systems:

1. Amazon S3: Ingest a file of files stored in S3 bucket. This is the default storage system if Impulse is running on Amazon EC2 or you purchased the impulse license from the AWS Marketplace.
2. HDFS: Ingest file or files stored in Hadoop Distributed File System (HDFS)
3. Momentum: Ingest data from Momentum storage. Momentum provides a highly scalable ETL, including data ingestion from a wide variety of sources, transformation, cleaning, blending, and merging with multiple sources. It also allows ingesting data in automated fashion and creating indexes in Impulse.
4. Google Cloud Storage: This is the default storage system if Impulse is running on Google Cloud.

To ingest data from the external system, follow these steps:

1. From the main navigation menu, click "Load Data" (See Figure 2.4.3a below as an example)
2. Fill out the form:
   1. Warehouse: Select the warehouse from the drop down options
   2. Datasource: Enter the table or datasource name.
   3. Input Source: Select the external system to ingest data from.
   4. Input Path: Provide the fully qualified path to the data directory or a single file. For example:
      1. Momentum: fully qualified component name, e.g. accure.tr.sampledata
      2. S3: absolute path of the file or directory, e.g. s3://mybucket/mydir
      3. GCS: absolute path of the file or directory, e.g. gs://mybucket/mydir
      4. HDFS: absolute path of the file or directory, e.g. hdfs://ip-address:port/directory/path
   5. File Format: Select the input file format
   6. Input Header: Enter a comma separated list of header columns if the input format is CSV, TSV or PSV and the input files do not contain the header in the first line.
   7. Click Next and follow the Step 2 as described in the previous section Uploading File Using Impulse UI

Figure 2.4.3a: Screen showing the form fields for ingesting data from external systems