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What is Data orchestration and why is it so much essential for your business? Read on the blog to get in touch with the details.
We know that you tend to deal with an increased number of incoming and outgoing data sources. We also know that the complexity of preprocessing and post-processing on data needs time and efforts from your end. To upkeep and maintain tons of data that grows in and out of your system can be too cumbersome if not dealt with it from the beginning. So, what can mitigate these growing pain points and challenges? The answer is Data Orchestration. In this post, we will walk you through what is the definition of data orchestration and why it is essential for your SaaS business?
In simple words, data orchestration is the automation of end-to-end data processes that take place across the whole of data ecosystem. To understand the entire concept of data orchestration better, we will have to break down the process into three main components which includes:
As per a recently published report, it has been stated that 80% of the work linked with data analysis is mostly acquiring the data and then preparing it further. While that happens, that is where a ton of the bottlenecks come from. That is when one of the key usages of data orchestration comes into play and can drastically reduce the amount of time spent on those two steps because it’s able to automatically handle the heavy lifting of acquiring and preparing your data.
Needless to say, when your data pipeline is spread across varied data systems, data governance is difficult to keep track of and organize. As it is your data orchestration tool that links each of your data systems, it’s easier for it to enforce a data governance strategy. Remember that orchestration can organize your data in real-time and enforce that there is right data governance at all times in your system. If you’ve created a tracking plan or a data strategy framework, your tool can ensure that the data collected complies with that plan.
As and when your SaaS company grows, so does the need to upgrade, troubleshoot, and tune the system. While that happens, it at times becomes too cumbersome to keep track of everything happening at once. Each breaking component has downstream effects, so data engineers need to move fast to correct extraction, transformation, and loading issues. Throughout your tenure, the SaaS company sees new siloes being created, data changes that come up at the source and more. With every new input addition, maintenance becomes more and more difficult to process. That is why deploying data orchestration helps in simplifying the overall process and eases the growing pains.9
Data orchestration is preferably one of the best options for most companies with multiple data systems as it doesn’t require any massive migrations or extra storage locations for your data, which can sometimes leave you with just another data silo. But that’s not the only benefit of data orchestration. It also helps with compliance with data privacy laws, removing data bottlenecks, and enforcing data governance.
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Published October 19, 2021, Updated July 04, 2023
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