Did you know that the Global Datasphere sees a massive uptick in data transformation? What’s more, the IDC says the Global Datasphere will expand to 175 Zettabytes (ZB) by 2025. What this area consists of is the core (traditional and cloud-based data centers), the endpoints (smartphones, PCs, and IoT devices), and the edge (enterprise-hardened infrastructure such as branch oces and cell towers).
Data transformation is defined as the way data is made usable by target systems or applications through the use of a process of converting the data. Why is this significant to businesses right now? To learn more about this fascinating and rising trend, continue reading below.
What is Data Transformation?
When organizations implement data transformation, often two methods are used. The method depends on the organizational structure. For example, if a business uses an on-site data warehouse, the ETL process (extract, transform, load) is usually in play. Currently, many organizations have moved to the cloud for their data warehousing. This is why a different format is in use for data transformation for them called ELT.
One of the cloud’s excellent benefits is its scalability. It permits businesses to bypass preload transformations. The process lets them transform their data one query at a time since they load the raw data into their data warehouse.
Types of Data Transformation
Since most businesses generate plenty of data daily, it’s necessary to transform it into a usable format. There are a few excellent ways, including EDI integration, to do this.
Hand-Coding ETL
One of the first ways of transforming data was the hand-coding ETL process. This method was established through hand-writing code in Python or SQL and was often done offsite and was very time-consuming. Besides, there were many errors caused by the manual process.
On-site Server-Based ETL
This method uses on-site servers that extract, transform, and load the data onto an on-site data warehouse. On-site ETL still has an excellent value, even considering that many big data companies are now using advanced cloud-based ETL.
Cloud-Based ETL
Experts say Cloud-based ETL has been a real game-changer and makes the process of data transformation very simple. They work directly through the cloud rather than an on-premise server. What’s more, you can link cloud-based SaaS platforms to a cloud-based data warehouse using this method.
It keeps essential business information accessible from anywhere and anytime you need it. Besides, with a cloud-based data warehouse, you can easily integrate your business system.
Data Transformation Services
Data Transformation can seem overwhelming to already overworked IT staff. It’s why many organizations decide to bring in a professional organization that specializes and knows their way around data transformations to get it done efficiently and fast.
Your staff can help by making sure everyone knows what can and will be transferred. Everyone should also be clear on the complexities and how they will dictate the data transformation scope.
Ready to Begin Your Data Transformation Journey?
Data transformation can help your business in many ways. Whether you are thinking on-site or in the cloud, we hope this information has provided clarity. Come back often to learn about other exciting topics on this site.
