Apache Hive
by Apache Software Foundation
Data warehouse software on Hadoop and object storage, queried with HiveQL through HiveServer2 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.
- Hiveql query results
- Tables
- Partitions
Load Apache Hive hiveql query results into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Apache Hive data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- Other credentials
Apache Hive 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 Apache Software Foundation if you need help.
04How it works
How it works in DataMind.
-
Pick Apache Hive.
Open Lake, pick Apache Hive in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Apache Hive API docs.
-
Answer a few questions.
The AI reads the Apache Hive documentation, then asks which credentials you will use, which data to sync (for example hiveql 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 Apache Hive, 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
