Why you need to move ETL workloads and enabling self-service ETL on cloud
by Dynamix Group WriterThe 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 115 times.