Tengri Data Platform Tengri  Docs
Architecture Advantages Expert materials Contacts
    • Tengri Documentation
    • Architecture
      • Ideology of use
      • Separation of Compute and Storage
      • Storage
      • Calculation
      • Compatibility with PostgreSQL
      • Developed system of differentiation of rights
    • Test results
      • TPC-H, Comparison with Greenplum
      • TPC-DS
    • Manual
      • Worker pools
      • User and rights management
        • Operations with users
        • Operations with roles
        • Operations with privileges
      • Data Description (DDL)
        • Operations with tables
        • Operations with schemes
        • Operations with views
      • Data query syntax
        • SELECT
          • WITH
          • FROM
          • JOIN
          • UNION
          • INTERSECT
          • EXCEPT
          • WHERE
          • CASE
          • GROUP BY
          • HAVING
          • QUALIFY
          • ORDER BY
          • LIMIT
          • OFFSET
          • LIKE
          • ILIKE
          • AS
        • INSERT
        • DELETE
        • UPDATE
        • EXPLAIN
        • Functions
          • Aggregate functions
          • Numerical functions
          • Text functions
          • Functions for regular expressions
          • Functions for date and time
          • Functions for JSON
          • Functions for binary data
          • List Functions
          • Functions for geodata
          • Window functions
          • Utilities
          • Python module tngri functions
        • Tengri’s own syntax
          • Keyword cell_output
          • Cross-language variables
      • Data types
        • Numeric types
        • Text type
        • Types for date and time
        • JSON type
        • Types for arrays
        • Binary type
        • Logical type
        • Type for geodata
      • Working with Git
    • Administrator manual
      • Installing and configuring Tengri
      • Password policy and access protection
      • Python package administration
      • Working with metadata
      • Setting up roles for users
    • AI agents
    • Scenarios
      • Initial system setup
      • Data upload
      • Automating data upload from multiple files
      • Data upload from Kafka
      • Accessing Iceberg storage directly using Python
      • Integration with MS Excel
      • Data obfuscation
      • Analytical scenarios
        • Analysing data from Instagram* posts
        • Analysing geodata from sports trackers
        • Analysing texts on the example of FineWeb dataset
        • Analysis and visualisation of passenger flow of Moscow metro stations
    • Alphabetical Index
  • Tengri Documentation
  • Administrator manual
Download to PDF
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Administrator manual

  • Installing and configuring Tengri

  • Password policy and access protection

  • Python package administration

  • Working with metadata

  • Setting up roles for users

Working with Git Installing and configuring Tengri
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Legal Information
Tengri Data Platform is included in the Russian software registry.
Entry No. 31091 was made in the register on the basis of an order from the Ministry of Digital Development, Communications and Mass Media of the Russian Federation dated December 10, 2025.