Hello @jacektrocinski    I understand you want to connect to a  CDP Data Hub NiFi Registry from a local machine?   - To connect NiFi to a Registry, select Controller Settings from the Global Menu. - This displays the NiFi Settings window. Select the Registry Clients tab and click the + button in the upper-right corner to register a new Registry client. - In the Add Registry Client window, provide a name and URL. - Click "Add" to complete the registration.   You can refer to : https://docs.cloudera.com/cdf-datahub/7.2.8/nifi-user-guide/topics/nifi-connecting-to-nifi-registry.html    Thanks, Azhar    Was your question answered? Make sure to mark the answer as the accepted solution. If you find a reply useful, say thanks by clicking on the thumbs up button. ... View more

hello @sa    Yes you can create a custom processor in Nifi.     You can refer to https://stackoverflow.com/questions/68937735/how-to-convert-csv-to-excel-using-python-with-pandas-in-apache-nifi   Thanks, Azhar Was your question answered? Make sure to mark the answer as the accepted solution. If you find a reply useful, say thanks by clicking on the thumbs up button. ... View more

Hello @Koffi    Once the disk is dynamically increased (from 1T to 3T) there should be no impact and once added you can run hdfs balancer to balance the data across the datanodes.    Was your question answered? Make sure to mark the answer as the accepted solution. If you find a reply useful, say thanks by clicking on the thumbs up button. ... View more

Hello @Soa  Hive partition divides the table into a number of partitions and these partitions can be further subdivided into more manageable parts known as Buckets or Clusters. The Bucketing concept is based on Hash function, which depends on the type of the bucketing column. Records which are bucketed by the same column will always be saved in the same bucket.   The Bucketing concept is based on Hash function, which depends on the type of the bucketing column. Records which are bucketed by the same column will always be saved in the same bucket. Here, CLUSTERED BY clause is used to divide the table into buckets. each partition will be created as a directory. But in Hive Buckets, each bucket will be created as a file. Bucketing can also be done even without partitioning on Hive tables.   Bucketed tables allow much more efficient sampling than the non-bucketed tables. Allowing queries on a section of data for testing and debugging purpose when the original data sets are very huge. Here, the user can fix the size of buckets according to the need. This concept also provides the flexibility to keep the records in each bucket to be sorted by one or more columns. Since the data files are equal sized parts, map-side joins will be faster on the bucketed tables.   Was your question answered? Make sure to mark the answer as the accepted solution. If you find a reply useful, say thanks by clicking on the thumbs up button. ... View more