What Are The Use Cases Of ETL?

What Are The Use Cases Of ETL?
ETL can be applied in various circumstances, such as (but not restricted to) the following ones, to advance businesses. In this article, we have discussed the use cases of ETL; to learn more, join the ETL Testing Course Online offered by FITA Academy.
1)Data Warehousing
Information centralisation in data warehouses is a fundamental component of ETL and continues to be its primary use. We’ll look at further use cases later. Data collection, standardisation, and storage make these use cases possible.
2)Business Intelligence
Using our previous hypothetical scenario again, business information enabled us to reframe the conflict between Customers A and B. Businesses can analyse data from across the organisation using ETL, which offers a single source of truth. Equipped with this data, analysts can furnish leaders and stakeholders with objective facts that facilitate informed company decisions.
3)Machine Learning and AI
AI and machine learning are rapidly developing fields, and the proper functioning of these systems depends on complete, high-quality data. Machine learning allows software to learn and improve its capabilities without explicit rules to define behaviour. Statistical models power these algorithms to identify patterns and make deductions. Since these models rely on the data of an organisation, it is essential to guarantee that these tools have access to the best information accessible to support their decision-making.
4)Cloud Migration
Businesses use cloud computing to host mission-critical apps and data, primarily those requiring high availability. These companies employ ETL or ELT to gather data from multiple on-premise databases or cloud-hosted business apps and transfer it to their cloud datastore, ensuring all of their data reaches the CSP.
5)Marketing Data Integration
Customers can engage with a business in more ways than ever in the digital age. Digital sources such as social networks, mobile applications, websites, eCommerce platforms, and websites can provide data about the behaviour of their customers. Data can also be gathered from business applications like CRM to track lead quality through call data, purchase behaviour, support requests, and other metrics.
Thus, some of the use cases of ETL are Data warehousing, Business intelligence, Machine learning and AI, Cloud migration and Marketing data integration.