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Tuesday, December 1, 2020

Challenges to Overcome Before Creating an IoT Device

Truth be told; the Internet of Things (IoT) is the buzzword in the world of tech industry. Actually, IoT is set to be part...
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    What is Data Transformation and Why is It Important?

    Before you even think about analyzing information, you must ensure the data collected is well-structured and easily accessible. For this to happen, you need to prioritize data transformation as it allows businesses the chance to alter the structured and format of data. Unfortunately, not many people understand what data transformation is all about and why it’s important. In this article, we will help you transform your data and perform analytic proficiently.

    What is Data Transformation?

    Data transformation is all about changing the format, structure, or values of the collected data. For organizations that use on-premises data warehouses, they’ll have to rely on the Extra, Transform, Load (ETL) process to transform their data. With innovations in the world of technology, most organizations are shifting from on-premises to cloud-based warehouses.

    Cloud-based warehouses have the capability to scale compute and storage resources faster. Through this action, organizations no longer have to preload transformations, but load raw data into the data warehouse before transforming it. This is what is referred to as the ELT (Extract, load, transform).

    Why is Data Transformation Important?

    Now that you know what data transformation entails, you need to be aware of the benefits it yields. To give you a slight insight into what is set to come your way transformed data is easier for both people and computers to use. Better, it improves the quality of data and protects applications from possible landmines.

    Even though it offers numerous benefits, data transformation comes with its own challenges. For instance, it may prove to be expensive since the cost is entirely based on the infrastructure, software and tools you rely on to process data. If this is not enough, you have to make do with expenses related to computing resources or licensing.

    Final Thoughts

    Transforming data is always going to yield numerous benefits provided you handle it effectively. If you are new in the world of data transformation, it is better to seek the help of experts in the industry.That way, it is not going to take long for you to reap maximum benefits.

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