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7 use cases and examples for data pipelines Let’s review some common scenarios where data pipelines can be applied. 1. ETL (extract, transform and load) processes An ETL process is a type of data pipeline that extracts raw information from source systems (such as databases or APIs), transf...
ETL Examples ETL in Data Warehousing ETL is a process that helps extract, transform, and load data into a target system. It’s commonly used in data warehousing, where users need to fetch both historical and current data to develop the data warehouse. Data warehouses store a combination of ...
Application integrationis when disparate applications are connected and made to work together to expand and enhance the functionality of the other. To facilitate this integration, teams can install a pre-builtsoftware connectorinstead of creating and maintaining one. ELT vs. ETL: Why some organizations...
The first ETL job should be written only after finalizing this. At this day and age, it is better to use architectures that are based on massively parallel processing. Using a single instance-based data warehousing system will prove difficult to scale. Even if the use case currently does not...
Implemented a cloud-based ETL solution using Azure Data Factory, streamlining the data integration pipeline for provider management. • Spearheaded a project to transition data warehousing to Microsoft Azure Synapse, which resulted in a 30% increase in query performance. • Managed a team of off...
The testing framework needs to aim for 100% coverage of the data warehousing process. For instance, although the primary focus here is on the data itself, application components such as ETL tools, reporting engines, or GUI applications need to be included in the testing framework. Also, it’...
Data warehousing If the goal is to pool data into one source for analysis or other tasks, it is generally pooled in adata warehouse. When you run a query, a report, or do analysis, the data comes from the warehouse. Data in the warehouse is already migrated, integrated, and transformed...
Knowing when to use ETL migration is a critical part of using the process correctly. Below are just a few examples and use cases of when ETL migration is best utilized: ETL in data warehousing The most common use case of ETL is data warehousing. For example, when a client needs to bring...
PostgreSQL is a database management system (DBMS) that is especially used for data warehouses. SQL Server is a DBMS that is especially used for e-commerce and other data warehousing solutions. Postgres is a feature-rich DBMS that can handle complicated queries and big databases. ...