To verify all BDDCS components are running successfully, log into Studio and add a data set by uploading a CSV file. Observe it in the Studio's Catalog and Explore pages.
It is useful to distinguish between these two user interfaces in BDDCS:
- In the BDDCS console, you can start and stop the instance and perform other life cycle operations, such as configure and run backups. You also log into Studio from here.
- In Studio, you load, explore, transform, and visualize data. (To automate loading data, use the Data Processing CLI in BDDCS).
You can create a new data set in Studio by uploading personal data from files. Studio supports Microsoft Excel files, delimited files such as CSV, TSV, and TXT, and also compressed file such as ZIP, GZ and GZIP. A compressed file may include only one delimited file. After upload, the data is available as a data set in the Studio's Catalog.
To verify your BDDCS instance:
As a result, you have added a data set to BDDCS Studio. If the file uploads successfully, this confirms that the Data Processing component of Big Data Discovery is running successfully. The Dgraph and the HDFS Agent components are also running successfully.
Now that you have loaded your first data into BDDCS using Studio, learn how to use Studio to explore and analyze your data, or how to load more data and update it.