What is ETL?
ETL means Extract, Transform, Load – it refers to a process involving primarily these three steps for the movement or migration of data from one point to another.
ETL is an important part of data integration and data warehousing, where data from different sources, and available in different formats, is brought together, transformed into a single usable format and then loaded into the repository.
The business value of ETL is that it creates a repository of data that can be used for analysis. The process of extracting data available in various sources that are not suited for analysis, and transforming it into an optimized format makes the data suitable for analysis.
Why use ETL?
In today’s data-driven business environment, almost every activity results in the generation of new data. Unless processed and put to use effectively, this data will be limited to being a useless, space-occupying block on your cloud or on-premise environment.
Here are a few reasons why you must consider using the process of ETL in your business:
- Streamlining data
- Storing historical data
- Business analysis
- Big data processing
Traditional ETL Process vs Modern ETL Tools
Traditionally, the process of ETL required the writing of computer programs specific to the task, and often required specific hardware to effect the transformation. Modern ETL tools, on the other hand, are often cloud-based and come with a graphical user interface, which makes it convenient to determine what data should be moved and in what format. There is also little to no additional cost involved for hardware or other infrastructure.
And while traditional methods of ETL only allowed the processing of data at scheduled times and in batches, today’s ETL tools are capable of processing data in real-time. Moreover, these ETL tools provide a quicker, more efficient and scalable method to moving data from a source database to a target data repository.
Unlike traditional ETL, the modern process of ETL does not always follow the process of extraction, transformation and loading in a strict order. Sometimes, there are overlaps between these processes and a mix-match (such as ELT – extract, load, transform – for instance), depending on the need.
More than just ETL – Data Prime from CloudNow
CloudNow’s highly customizable Integration Platform as a Service (iPaaS) solution and master data management tool (MDM tool), DataPrime, allows continuous data integration to Master Data Management applications and ERPs from different sources connected to the enterprise. It is also ideally suited to managing merger and acquisition scenarios, where different data stored in different formats in different applications needs to be brought together.
Unlike traditional ETL tools, Data Prime does not require developers to handle integration exceptions. Instead, Business Analysts can directly apply their understanding of the business logic to handle exceptions seamlessly, with basic training.
With its service-oriented architecture (SOA), Data Prime offers a platform which makes sharing, development and delivery more efficient and user-friendly – making it one of the most ideal data management solutions.
Consult the experts in database migration services, cloud migration solutions, ETL migration and other ETL services – get in touch with CloudNow today.