Data warehouse antipatterns

  • Can a data warehouse hold unstructured data?

    As we already discussed, Data Lakes can be used to store any form of data including unstructured and semi-structured while Data Warehouses are only capable of storing only structured data..

  • How can the data warehouse data can be accessed efficiently?

    There are multiple ways for users to query or access the data stored in a database or data warehouse.

    1. Direct Queries
    2. Intermediate Tables
    3. Common Table Expressions (CTEs)
    4. Data Sanitization
    5. Indexing
    6. Batching
    7. Explain Plan
    8. Snowflake

  • What is pattern in data warehouse?

    Pattern warehouses are smaller in size than data warehouses and store more sophisticated form of information than data warehouse. A Novel Optimal Pattern Mining Algorithm using Genetic Algorithm..

  • AWS anti-patterns refer to common mistakes made when using Amazon Web Services that can lead to poor performance, increased costs, and security vulnerabilities.
  • By partitioning your tables based on criteria such as date ranges or regions, you can improve query performance by reducing the amount of data that needs to be scanned.
    Compression: Compression can significantly reduce the amount of storage required for your data warehouse.
Mar 4, 2020When data warehouses are stretched outside of their core purpose, these once revered systems can put our data and our projects at risk.
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