Data Manager

To stream data either from a web site source or to upload a file from your local drive,  select Data Collectors from the Navigation panel; the Data Manager is displayed. 
New_Data_manager_Screenshot.png

SOURCES

  • To display a source's stream queries, select it - the streams are displayed in the Streams panel.
  • To rename or delete a source, click MoreIcon.ico, select [Rename/Delete].

To Add  a New Source

  1. In the Data Manager window, click Sources+ to display the Source Types page.
    Source_types_small.png
  2. Select a data source. Click: 
  • Start and follow the on-screen instructions.
  • Instructions to open the relevant Knowledge Base instruction page.

Note Use Search if you do not see your data source.

STREAMS

Live.png Historical data gathered or live data being gathered - stream can be viewed and paused or deleted.

initializing_icon.icoGathering historical data, has not reached 'today' - stream can be paused or deleted.

Paused.pngUser paused data gathering of a live or initializing stream.

Incomplete.icoThe definitions of the Stream are not complete - stream can be edited, duplicated or deleted.

Completed.pngOnly for uploaded files. Streaming completed - the stream can be viewed, duplicated or deleted.

Note:

  • To see the stream metrics in the Metrics window, click a Live or Paused stream.
  • To view a Live or Completed stream summary [See Viewing Stream Summaries] or change the status of the stream, click the More icon MoreIcon.ico .

CREATING A STREAM

Each source can hold several streams. Each stream is created in two steps: 

    1. Defining the Stream Query
      • Data to collect: measures, dimensions and timestamp
      • Collection scheduling
    2. Reviewing and transforming the data in the Stream Table

STREAM TABLE

Based on your Stream Query, Anodot creates a Stream Table which displays:

  • A time stamp column
  • 'What' columns
  • Properties columns
  • An estimate of the number of metrics the query will create
  • Your account balance of used and available metrics.

To create more meaningful metrics, you can transform the dimensions by replacing text or extracting Regex prefixes and suffixes before streaming the data.

See
Using Data Collectors  
Stream Tables 
Viewing Stream Summaries

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