![]() ![]() Because ETL processes are highly customizable, it's up to you to adjust them to suit your needs. As the user, you'll have goals and clear visions of how you want the data presented upon completion. This is when you apply the filters, functions, and any other criteria you want. The transform stage is where data transformation takes place. When extracting data, Improvado can store it for 12+ months to ensure an in-depth view of the user's marketing and sales performance. That's why ETL solutions should store previously extracted data to help analysts create a more holistic picture of their efforts. In analytics, saving historical data is mandatory to compare previous insights to your current results. Improvado's data dictionary of custom metrics ![]() Improvado lets data analysts set up an automatic data extraction process from 500+ marketing and sales data sources. Let's review the extraction process on the example of Improvado. ![]() The extraction process through Improvado's perspective Instead, it gets aggregated into a flat file, which can be used to create charts and analyze the data manually. Offline Extraction-Offline extraction is when the data isn't extracted directly from the source. Improvado uses online extraction to connect to all your different data sources automatically. Online Extraction-Online extraction is when the ETL tool has a direct connection to the data sources. There are two types of physical extractions: online and offline. In an ETL tool, you'll be able to see the timestamp of every data extraction, and view recent changes in a table. Incremental Extraction-Incremental extraction is used to extract data from the last successful extraction. When it comes to logical extraction, there are two subtypes.įull Extraction-Full extraction is used when you are extracting data for the first time, and all of the data is extracted at the same time. □ You can find an extensive list of data extraction tools in our guide□ Logical Extraction Specifically, there are two main types of extraction methods: logical and physical. This data goes into what's called a "staging area," where the information is temporarily housed. that you want to transform into a different format, an ETL tool will automatically aggregate all this data for you. If you have many data sources, such as files, databases, spreadsheets, etc. To help you better understand how the ETL process works, here's a breakdown of each stage.
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