How ETL works in a Data warehouse

How ETL works in a Data warehouse.

The Cloud Computing industry is thriving nowadays. Non-technical people often wonder how tons of data is migrating from the business database to the cloud! Businesses don’t have only one workspace. A departmental store will have divisions of sales, inventory, salary, and bills so how is the POS or ERP generating integrated output for each department? Here the term ‘ETL’ comes into play.

ETL stands for Extract, Transform and Load.

ETL is a common process that is used in data warehouses to ensure the quality and consistency of data. It involves extracting data from various sources, such as databases or applications, transforming the data based on business logic or requirements, and then loading it into the warehouse. These steps are done manually in some cases, but ETL software tools can be used to streamline the process and ensure accuracy.

Let’s simplify ETL processes:

ETL Process

Extract

Extraction involves fetching data from diverse departments. The staging area is temporary storage between sources and the data warehouse. It carries both structured and unstructured data. Any IT company will have departmental data such as HR, salary accounts, projects, Codes, etc. Employees and Salaries are considered structured data whereas Project codes contain unstructured data which are combined during extraction.

Transform

Data cleaning and regulating are done using Transformation tools. The MYSQL database has structured data and MongoDB will have JSON carrying unstructured data. This data is now arranged into different formats. Any redundancy in data is also removed using Data normalization. At this stage quality of data has been improvised as data is now well organized.

Load

Data Loading can be done in two different ways: Full Load and Incremental Load. Data can be loaded all at once in Full Load so you can transfer another batch afterward. However, it can be tricky as the loss of data all at once can’t be endured. On the other hand, Incremental load will send new data at predefined intervals. So at intervals, any manipulation of data and accessing it can be easier.

The benefits of ETL are numerous: it ensures that important business information is accurately captured and stored in a centralized location, which makes it easier to make decisions based on reliable data. Additionally, it provides efficient performance and allows businesses to analyze their data quickly and efficiently. Overall, It’s a critical component of any effective data warehouse system.

The following are the most popular cloud ETL tools on the market:

  • Hevo Data
  • Fivetran
  • Alooma
  • Airbyte and many more.

Although there is software and tools out there for ETL few companies are manually migrating data to the cloud. MSPs and Public-Private cloud providing MNCs serve this promptly for you. So businesses can focus on their product development and marketing. Prominent cloud service consulting companies such as ColoAdvisor makes it easier for their clients. We would be delighted if you reach out to us for cloud-based services.

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