JetBrains joins the massive information area with new instruments for DataGrip and PyCharm


JetBrains introduced that Huge Knowledge Instruments is now accessible as EAP for DataGrip and PyCharm Skilled. The information goals to deal with issues that contain each code and information. 

The corporate first introduced plans to assist extra large information instruments final 12 months when it introduced a preview of the IntelliJ IDEA Final plugin with Apache Zeppelin notebooks integration. For the reason that plugin began with solely Scala assist, it made sense to solely make it accessible for IntelliJ IDEA Final. However now that the staff has added extra assist for a wider set of situations and instruments, JetBrains felt it was time to increase out the capabilities and make it accessible to different IDEs.

“We imagine the plugin will lengthen the capabilities of DataGrip customers on the subject of working with distributed file storage techniques and columnar file codecs. On the identical time, the customers of PyCharm who use PySpark or who additionally work with information will profit from having this plugin accessible of their IDE,” the staff wrote in a publish.

The present characteristic set features a file browser for distributed file storage techniques reminiscent of AWS S3, HDFS, and GCS, with assist for different clouds reminiscent of Microsoft Azure within the works. The aptitude will permits customers to browse folders and information, preview information, and handle information. It additionally features a viewer for columnar file codecs reminiscent of Parquet with assist for different codecs coming quickly. Spark clusters get a monitoring console that enables customers to browse cluster nodes, Spark jobs, their phases, and duties. 

The present model of the plugin for PyCharm and DataGrip gives all options which are accessible in IntelliJ IDEA besides Zeppelin notebooks, though JetBrains stated it’s engaged on including it quickly. 

Please word that the plugin is at the moment accessible for IDEs with model numbers 2020.1 or increased.

Extra documentation is on the market for DataGrip and PyCharm