There is no denying that data is king. But before the coronation, raw data needs to go through a series of steps so it can effectively be used to help achieve the organization’s goals. ETL (extract, transform, load) is the vehicle that transports raw data to its final destination. It turns “dirty data” into “clean data” that is usable by the business. This process enables businesses to powerfully “unlock” data from traditionally siloed operations and their respective infrastructure and “utilize” it to make data-driven decisions. To do this, creating a sustainable ETL framework is a must.
Establishing an ETL Framework
From 2016 to 2018 alone, 90 percent of the world’s data was generated. Data has become a major focus for a vast number of organizations and the importance of transforming it all into usable information is only growing. An ETL framework, also known as an ETL architecture, is key for companies looking to create a sustainable way of visually mapping data. ETL is an involved and complex process, but can be made easier with an ETL tool such as K3 ETL.
Data has become a major focus for a vast number of organizations and the importance of transforming it all into usable information is only growing.
Selecting an ETL Tool
Your ETL tool doesn’t have to be an expensive, code based framework that only a developer could love. There are ETL tools that visualize and normalize data with ease; no coding required. Before selecting an ETL tool, identify your business needs and get your developers onboard. Yes, your dev team might tell you they can whip up code faster, but that strategy is not sustainable in the long run. Developers get busy; they leave the company; and they often don’t use an established SDLC (software development life cycle) that can be followed time after time.
Establishing an ETL framework ensures your organization doesn’t get left high and dry on the data front
The Benefits of an ETL Framework
An ETL that tool lets your technical people focus on what really matters by eliminating issues with source code, changing data formats, shifting data sources and more. For example, K3 ETL is a ready-to-go solution that can handle different types of data with ease, then pipe it directly into leading data repositories; no coding required (check out our K3 connectors: K3 for Snowflake and K3 for Amazon Redshift).
Establishing an ETL framework and implementing an ETL tool save your organization time and money. Wondering how K3 ETL supports a successful ETL framework? Our experts can show
