Scheduling Amazon S3 bucket deliveries
Amazon S3 buckets are a common way to store large amounts of data, but Centricity can only use it if you or your company has created an S3 bucket with Amazon. You can schedule periodic delivery of a dashboard, a Look’s visualization, or a Look’s data to your Amazon S3 bucket. Centricity will prompt you with options for formatting and settings when you select data delivery to Amazon S3 buckets.
Depending on how your organization’s admins have configured your Centricity instance, the default delivery may be email, and this setting may not be visible.
Creating and editing schedules
Centricity will prompt you with a pop-up window with your scheduling choices after starting a schedule. For those with permission, you will see the option to deliver to Amazon S3. The following sections explain the scheduling settings for Amazon S3 bucket destinations. For a description of all scheduling options, see the main scheduling documentation page.
Naming your delivery
Name your delivery in the corresponding field at the top of the pop-up window. The title is used in the filename of the data delivery, and in any error emails that are sent to you in case of any problems delivering the data to your Amazon S3 bucket. The filename of the data delivery follows the format
HASH is a random six-character identifier and
TIMESTAMP follows the pattern
YYYY-MM-DDTHHMM (for example, the timestamp portion would look like
2020-10-31T0933 for October 31, 2020 at 9:33 AM).
Delivering to S3
Select “Amazon S3” in the “Where should this data go?” section. The S3 Details section appears and prompts you for information about your Amazon S3 bucket:
Bucket: The name of your Amazon S3 bucket.
Optional Path: The folder that you want to save your data to, if any.
Access Key: The Access Key ID to your S3 bucket, provided by Amazon.
Secret Key: The Secret Access Key to your S3 bucket, provided by Amazon.
Region: The Amazon services region where your S3 bucket is hosted.
Formatting the data
Select your desired data format in the corresponding field. Options for dashboards and Looks are listed below.
Formats for dashboards
PDF: The dashboard in PDF format. The default layout displays tiles as they are arranged in the dashboard, but other layout and sizing options are available under “Advanced Options.”
Visualization: The dashboard visualization in a single image file. The default layout displays tiles as they are arranged in the dashboard, but other layout options are available under “Advanced Options.”
CSV ZIP file: The unformatted data from the dashboard delivered as a collection of comma-separated values (CSV) files in a zipped directory.
Formats for Looks
CSV: The data table as a comma-separated text-file attachment.
XLSX: The data table as an Excel file attachment.
JSON — Simple: The data table as a JSON file attachment. In this format, Looker uses a dimension or measure’s field name as its rendered value rather than the field’s label.
JSON — Detailed, Inline: The data table submitted directly in JSON format, with additional details such as field metadata, cache information, the time when the query was completed, and how long it took the query to run. In this format, Looker uses a dimension or measure’s field name as its rendered value rather than the field’s label.
Text: The data table as a tab-delimited text-file attachment.
HTML: The data table as an HTML file attachment.
Applying filters to the delivery
If you deliver a Look or dashboard with filters, you can filter the results delivered to each set of recipients. For example, you might send regional teams results filtered for their states or counties of interest.
Changing the filter options in the Send or Schedule windows does not change the filters of your Look or dashboard, only the data deliveries you’re editing.