data.world now sends 2 additional webhooks: Dataset Sync Failure and Dataset Sync Recovery Success. 

When a dataset within your org fails to sync, data.world will immediately send a webhook message to the configured URL with details about the failure, including error code and error messages from the downstream source.

With those sync failure details, you could configure a ticket to be created in your ticketing system, trigger an alert for a dev-ops team, or simply just make the team aware of the issue.

Natively, data.world will format the webhook payload to post messages in Slack when it recognizes the configured webhook is Slack, which is shown in the demo video below.

Demo

Screenshots

Technical Details

syncTask.status.success is triggered only after the recovery from a failure. 

Example payload, in JSON:

{
  "datasetid": "sync-demo",
  "event": {
    "type": "SUCCESS",
    "task": "state_table.csv",
    "created": "2021-02-04T06:37:06.936Z"
  },
  "eventType": "syncTask.status.success",
  "resourceUrl": "https://data.world/texas-whiskey/sync-demo/file/state_table.csv",
  "resourceType": "URL",
  "resourceOwner": "texas-whiskey"
}

 syncTask.status.failure is triggered on the first failure for that file. When it recovers, data.world will send one syncTask.status.success

Example payload, in JSON:

{
  "datasetid": "sync-demo",
  "event": {
    "type": "FAILURE",
    "task": "state_table.csv",
    "created": "2021-02-04T06:35:17.945Z",
    "error": "HTTP/1.1 404 Not Found"
  },
  "eventType": "syncTask.status.failure",
  "resourceUrl": "https://data.world/texas-whiskey/sync-demo/file/state_table.csv",
  "resourceType": "URL",
  "resourceOwner": "texas-whiskey"
}

Have you ever need to create a 7-day trailing average in order to smooth out a graph? How about compare a value to the same value in the previous row?

Windowed aggregations are a powerful way to perform complex analysis, such as this, without leaving the comfort of the SQL. These functions operate on a defined group, or "window", of rows to return an aggregated value for each row. Window aggregations are supported for both uploaded tabular data, as well as live tables (where support exists in the connected database).

Note: this feature is currently in Beta. Please contact support with any issues.

Find what you are looking for from anywhere in the application.
Look for new resource types added to the autosuggest feature of the main search bar! Queries and metadata resources, such as glossary terms and analysis records, have been added to the top level search bar. You can now search for these resources from any page with the search bar header. This feature previously supported dataset, project, and user search. This feature is live for community and enterprise users.

Here is a roundup of some of the key features we released last month, December 2020 -- collection crowdsourced suggestions, new metadata and search API endpoints, and a recap on search improvements.

Look for this new feature in upcoming data.world releases!

Here's a sneak peek of what to expect:

We are updating the way we present contributors and visibility for datasets and projects. Currently, we have a top level Access tab that controls individual access, and a Visibility section in the Settings tab that controls whether the dataset/project is open, private, or discoverable to the community. To minimize confusion and complexity, we are combining and redesigning these settings into a single pane of glass to simplify understanding and control of “who can see this resource."

This is how the experience will look from a data consumer's perspective:

This is now the experience will look from an admin's perspective:

Relevant data partners now appear at the top of some search results as featured results, making it easier to find high-quality, reliable datasets in search. Featured results are disabled for private installs.

If you’re interested in learning more about how we help teams find the right data vendors for their projects, drop us a line at concierge@data.world.

Look for this new feature in upcoming data.world releases!

Here's a sneak peek of what to expect:

You'll soon see a new banner above your search results highlighting the number of matched column results for your query. You can navigate to your column results either by clicking the banner or using the result type dropdown below the search bar.

Column search surfaces tables within datasets or projects that contain matched columns, and individual column records defined in your metadata catalog. This feature will be available for data.world enterprise and community users.

We recently added search as a feature of our public API.

These new endpoints support searching for datasets, projects, insights, queries, tables, collections, files, glossary terms, and analysis resources.

We offer two options:

• Simple Search: Simple text search with filtering support by owner and resource type
• Advanced Search: Supports complex searches including date ranges, tags, and custom resource types

Here is a roundup of some of the key features we released in 2020, including search improvements, 'Collection' management UX enhancements, query log reporting, and more.

Windowed aggregations partition the results from a SQL query into groups in order to perform calculations across adjacent rows of the query result. You can read more about windowed aggregations and see examples of their usage on data.world in our SQL documentation.

Here is a list of all the new windowed functions with links to their reference pages:

• CUME_DIST
• DENSE_RANK
• FIRST_VALUE
• LAST_VALUE
• LEAD
• LAG
• NTH_VALUE
• NTILE
• PERCENT_RANK
• RANK
• ROW_NUMBER