Data warehouse monitoring

  • What do you mean by data monitoring?

    Data monitoring is a business practice in which critical business data is routinely checked against quality control rules to make sure it is always of high quality and meets previously established standards for formatting and consistency..

  • What is data monitoring tools?

    Data monitoring tools support enterprise data security governance initiatives by providing real-time insight into data activity and data access, which is essential for enforcing compliance policies and protecting sensitive data across the enterprise..

  • What is data quality monitoring?

    Data quality monitoring is the process of automatically monitoring the health of data pipelines and the data that runs through them using machine learning.
    Occasionally, we'll talk with data teams interested in applying data quality monitoring narrowly across only a specific set of key tables..

  • What is the process of data monitoring?

    Definition: Data monitoring is the process of proactively reviewing and evaluating your data and its quality to ensure that it is fit for purpose.
    Data monitoring software helps you measure and track your data using dashboards, alerts and reports..

  • Data monitoring allows an organization to proactively maintain a high, consistent standard of data quality.
    By checking data routinely as it is stored within applications, organizations can avoid the resource-intensive pre-processing of data before it is moved.
  • Definition: Data monitoring is the process of proactively reviewing and evaluating your data and its quality to ensure that it is fit for purpose.
    Data monitoring software helps you measure and track your data using dashboards, alerts and reports.
1 Define your metrics The first step to monitor your data warehouse is to define what metrics you want to track and why. Metrics are quantitative indicators that measure the state and behavior of your data warehouse, such as data volume, load time, query speed, error rate, and data quality.
Data warehouse monitoring helps you understand how your data warehouse is performing. If performance is slow, you'll want to know why. Here are some of the things to take note of when gauging the performance of your data warehouse: Data usage.
Databand monitors the query history of your tables and collects metadata about the queries that are updating your tables such as query IDs and record counts.

What is a data warehouse (DWH)?

A data warehouse (DWH) is a non-operational system mainly used for decision support

It consolidates the data of the operational systems (all of them or a smaller subset) and provides query-optimized data for the users of the DWH system

The data warehouse should provide “a single version of truth” within the enterprise

What is data warehouse monitoring?

Unless data warehouse monitoring takes place in a formalized manner, desired results cannot be achieved

The results of the monitoring gives you the data needed to plan for growth and to improve performance

Figure 20-1 presents the data warehousing monitoring activity and its usefulness


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