It is widely known that the data warehouses were a thing of the past, as it’s a costly and cumbersome operation to process a large amount of data stored in it.
Modern day’s cloud-based data analytics are capable of storing, retrieving, and processing data in real time, and they can even be paired together with the latest technology such as machine learning to construct an algorithm based on data collected and come up with data-driven decisions.
While all these benefits sound good on paper, implementing it can be a much arduous task than expected. Because of that, it often results in delays and failures as IT budget starts to exceed cost allocated, and the result fails to meet expectations. Here’s why:-
1. Lack Of Technical Expertise
Each software vendors have their own solution to it. For example, Microsoft Azure and Amazon Web Services have their respective tool named AWS Snowball and Azure Data Box to transfer large amount of data from on-premise environment to the cloud. Moving several petabytes of data is tricky, to say the least, and IT staff will need to have the expertise of operating those tools, which many companies are currently lacking.
2. Data Integration Remains An Issue In The Cloud
Integration challenges will still linger around even though you have migrated the data from on-premise environment to the cloud. While the data has been moved from one platform to another, systems of record may still remain on-premise, as such they will have to be synced with the data in the cloud to get the latest update.
3. Difficult To Configure
The security subsystems in the database is notorious for being difficult to configure, yet they cannot be ignored. It has to be figured out in the context of the database and data analytics, while the security has to be systemic with the rest of the systems the data analytics systems are interacting with, both in the cloud and on premises — and that often involves most of the other operational systems that provides analytics in real time.
While these issues may seem tricky to overcome at first sight, the benefits of utilizing cloud-based data analytics far outweigh its cons, and any company that doesn’t have the required manpower to ensure the migration meets the technical and regulatory requirements is more than welcome to contact cloud service provider such as SAFEHOUSE and let us handle the worries for you. 🙂
