Types of Data Aggregators
Data aggregators can be primarily classified into two types based on how they collect and organize data:
- Time-based aggregation: This method implies collation of all data points for a single source within the stipulated period. For example, such as the traffic to a particular site over the last hour, day, week, or month, or year. This helps to detect patterns over time and aids forecasting.
- Spatial aggregation: This technique involves aggregating any data points for a set of resources over a certain time interval. Consider you have a scenario where you need to determine the overall sales for all of your stores in a given month. This would be spatial aggregation.
Table of Content
- 1. Alteryx
- 2. Databricks
- 3. Domo
- 4. Keboola
- 5. Looker Studio (formerly Data Studio)
- 6. Matillion
- 7. Microsoft Power BI
- 8. Qlik
- 9. Zoho Analytics
- 10. Twilio Segment
Top 10 Data Aggregation Tools
Data analysis thrives on information. In this data-driven world, data aggregation emerges as a fundamental process, empowering businesses to unlock valuable insights and make informed decisions.
In this tutorial, we will identify top data aggregation tools.
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