IBM Developer Advocacy

Upload data

Identify data structure limitations and requirements

Arguably the most important thing before you can start using Watson Analytics is understanding the type and structure of the data that can be imported. The following video will help you identify this requirement.

Load flat files

You have a requirement to upload a personal data file to Watson Analytics. The following video will show you how to:

  • identify methods for loading flat files (drag and drop, browse)
  • use the browse method to load a flat file to create a data set
  • modify the data set tile (rename, move, replace, refine)
  • use the data set tile to create a Discovery set

Upload data from Twitter

In Watson Analytics you can add a snapshot of Tweets and their metadata as a data asset that you can analyze. The following video will show you how to:

  • upload data from Twitter to create a data set
  • use the data set from Twitter to create a Discovery

Shape data before uploading

You have a requirement to create a data set using data from a table in one of your corporate databases. Prior to uploading, you want to identify how you can preview, filter, and customize the data that will be available in your new data set. The following video will show you how to:

  • identify how data can be modified during the upload process of creating a data set using Shape before.
  • remove a column
  • filter rows
  • upload data set to Watson Analytics and use Refine to confirm changes made in Shape before

Join data sets before loading into Watson Analytics

In Watson Analytics you can include data from two data assets in an analysis by joining the data assets. The following video will show you how to:

  • access the tables from a database connection
  • create the join on the tables
  • upload the data to Watson Analytics
  • identify the results of the join using the Refine feature

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