Why you need to move ETL workloads and enabling self-service ETL on cloud

by Dynamix Group Writer

The past few years have witnessed a steep growth of data across companies and industries. This has led to the development of advanced technologies like extract, transform and load processes, commonly known as ETL. Many industries are still using on-premise environments. Still they are not adequate to meet the requirements of the industries as their cost of operation is high, and the infrastructure and storage facility is limited. That is why many companies are moving their ETL workloads and self-service ETL on the cloud because of the numerous benefits cloud migration offers.

 

The advantages of cloud

 

Advanced technology makes the cloud an ideal option for companies. As compared to on-premise environments, the cloud possesses more agility, is efficient and flexible. Since the cloud is serverless, it makes it easier to assemble ETL infrastructure. Cloud also possesses certain other advanced technologies like automated, demand-based compute provisioning. This enables the ETL processes to become more adaptive.

 

Cloud is not only convenient and easy to use but also requires less maintenance and is cost-effective. Maintaining an on-premise computing infrastructure is not easy as it requires sufficient space, electricity, networking, air conditioning, and operating systems, among others. Since the cloud does not need all these, it is more cost-effective.

 

The cost of data archiving is also low, as many providers are offering efficient and competitively priced storage services that enable companies to archive their data.

 

By transferring ETL on the cloud you will get a superior performance as it is agile, elastic and will also give you accesses to the latest hardware technologies.

 

Things to keep in mind when migrating ETL workloads

 

Though moving ETL workloads on the cloud helps in the smooth flow of operations, there are risks involved, which is why you need to have the right tools and partners. Some things that need to be kept in mind when moving ETL workloads to the cloud are:

 

·        Ensure multi-cloud support to adopt a vendor-agonistic approach.

·        Emphasize rapid prototyping, testability, and processing infrastructure among others to ensure a smooth transfer of ETL workload on the cloud.

·        Have an incremental data ingestion process in place. For this you need tools and technologies that will help you to map on-premise storage solutions to cloud storage services. Apart from this, a structured framework support to design and data migration tools are also important.

·        Moving ETL workload on the cloud is time-consuming and can cost money. However, many tools help you with a smooth migration process. However, you need to choose vendor-agonistic tools that come with features like interoperability, extensibility, etc.  

 

Migrating your ETL workload to the cloud may seem challenging. However, technology offers many benefits like cost-effectiveness, convenience, data integration, etc. This will ensure profitability and the growth of the business.

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Created on Oct 14th 2020 06:11. Viewed 114 times.

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