Extract, Transform and Load (ETL) is a systematic process of extracting data from innumerable databases, transform it in a comprehensive format and loading it into another database. The functions combined into one system, simplify the challenges associated with data integration, data connectivity, and data validation. In this blog, we will discuss how an ETL Tool scores points over manual hand coded practices. Further to this, we will also discuss an ETL tools comparison matrix that will help you in making a wise investment.
Workflow Management: An advanced ETL tool enables a user to self-manage data flows from a centralized unit and allows organizations to grow their business opportunities. The data is automatically cleaned while traveling through the systematized workflows. On top of that, a graphical view of the processes provides view of home ranges where the data is traveling.
Apart from this, the components of the solution can be clearly tracked to enable users to use them over and again. Therefore, checking and controlling the dependencies, and orchestrating the ETL jobs becomes effortless with an ETL tool.
The process designer and instant messaging components improve the team coordination and productivity. Even a normal business user can add or remove partners and execute B2B operations like customer data on-boarding, supplier on-boarding, enterprise application integration, etc.
Connectors: A modern ETL tool bundles features to optimize the data sources and targets. With the help of these connectors, a user can set up instant connections, transfer data immediately, and pull or push files instantly. This simplifies the data interchange operations and adds some extra hours of time.
Data Transformation: The data interchange problem would have been simpler if every organization was using the same kind of business application. Unfortunately, companies use a different kind of application for different purposes. An ETL tool solves this problem by safely converting the extracted data into the format of source data. This simplifies the B2B data interchange operations like streamlining the operational data and customer data on-boarding.
Monitoring: ETL Suite makes it possible to track and well manage the business operations. With this, identifying the loopholes and fixing them in a short period of time becomes easy. So a user can track data issues and instantly deploy measures to fix them.
SOA/ Partner Enablement: A Design approach which empowers a normal user to move the business towards the stream of business. The idea behind this approach is to enable business users in focusing on growth opportunities and increasing the surface area of business.
Scalability: In simple steps, an advanced ETL tool enables normal business users to balance data loads as per business-centric needs. The manual method of load balancing is time intensive as well as complex. Experts do not recommend hiring staff for balancing data loads as the resources are hard to retain and scarce. The best fit technology for scaling the resources is an ETL tool.
The rewards of an ETL tool are game changing but there are issues to take care of. A related problem is identifying the right ETL tool vendor. Here is an ETL tools comparison matrix that can help users in making a strategically wise decision.
On many grounds an ETL tool outperforms the manual hand-coded data integration processes. Some of the valid reasons to invest in an ETL tool have been discussed in this blog.
Prince started his career as a computer obsessed teenager and transformed into seasoned information solution expert. He has over 10 years of experience in delivering technologies related to B2B data integration, enterprise Application integration, business process management, partner enablement.