Staging

Data Staging refers to the process of preparing and organizing data for further processing and analysis. It involves extracting raw data from various sources, transforming it into a consistent format, and loading it into a staging area or a data lakehouse environment such as Dremio. Data Staging acts as an intermediary step between data acquisition and data processing, ensuring data quality and compatibility.

References

  • airbyte.com
    https://airbyte.com/tutorials/what-is-data-staging-the-guide
    🔗airbyte.com
  • Data Staging Area: Definition, Examples, Benefits & More!
    Data staging area is an intermediate storage for raw data, transforming & validating before loading into a data warehouse.
    🔗atlan.com
  • What Is Data Staging? Pay Attention To These Important Things
    Businesses process a lot of data today. Most of this data relates to their customers’ spending habits, as well as...Read on →
    🔗AxiomQ
  • Staging (data) - Wikipedia
    https://en.wikipedia.org/wiki/Staging_(data)
    🔗en.wikipedia.org
  • Data Staging | Dremio
    Data Staging is the process of preparing and organizing raw data for further processing and analysis in a data lakehouse environment.
    🔗dremio.com
  • What is Data Staging?
    What is Data Staging - In the data warehousing process, the data staging area is collected of the data staging server software and the data store archive (repository) of the results of extraction, transformation, and loading activity.The data staging software server temporarily saves and changes data extracted from OLTP d
    🔗tutorialspoint.com
  • Data Staging Guide: Overview & Best Practices | Zuar
    In this in-depth guide, Zuar explains what data staging is, why it's important, types of data staging, software staging best practices, and more.
    🔗News & Education