Cloudera
Hybrid data platform (Hive, Impala, Spark, Iceberg) whose warehouses are queried through JDBC/ODBC drivers.
- Category
- Cloud & Data Platforms
- Type
- Data warehouse & lakehouse
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- Username and password, Vendor credentials
02Data
What you can sync.
- Sql query results
- Tables
- Partitions
Load Cloudera sql query results into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Cloudera data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- Other credentials
Cloudera uses a username and password or other credentials. You add the credentials once, when the AI asks for them, and it tells you where to create them in Cloudera if you need help.
04How it works
How it works in DataMind.
-
Pick Cloudera.
Open Lake, pick Cloudera in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Cloudera API docs.
-
Answer a few questions.
The AI reads the Cloudera documentation, then asks which credentials you will use, which data to sync (for example sql query results and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Cloudera, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
More like Cloudera.
DatabricksData warehouse & lakehouse
SAP DatasphereData warehouse & lakehouse- Teradata VantageCloudData warehouse & lakehouse
Apache HiveData warehouse & lakehouse
DremioData warehouse & lakehouse
ExasolData warehouse & lakehouse
FireboltData warehouse & lakehouse
IBM watsonx.dataData warehouse & lakehouse