We are currently using it for POC. It is not yet live. The data storage is pulling the data.
We have the latest version of this solution.
We are currently using it for POC. It is not yet live. The data storage is pulling the data.
We have the latest version of this solution.
It is easy to integrate with applications.
It should be easier to deploy.
I have been using this solution for one year.
It is stable.
It is scalable. Currently, we have three or four users.
Their support is fine.
Its installation is okay. It takes around one hour.
It was done by me. Sometimes, it is also done by a third party.
I would recommend this solution. I would rate Microsoft Azure Block Storage a seven out of ten.
Our primary use case is for the creation of a data lake, which was looking at unstructured predominantly in big data storage, it is looking at an economical solution. This was then used in conjunction with an SAP BW solution pulling and using SAP data hub to thencreate a single ecosystem of data.
The data lake is invaluable. We also use Microsoft SQL in terms of structuring the data and getting into a position where it could be useful to support reporting. We use Databricks for data science. We incorporated Databricks with that as well.
In terms of improvement, it could use better integration with non-propriety tools. Azure pushes you down a data factory road for integrations but data factory isn't always a scalable, viable solution, particularly when using large numbers ofconnections to IoT solutions.
I have been using Microsoft Azure Block Storage for around a year.
We don't have any issues with stability.
I haven't needed to contact customer support.
The initial setup was smooth and straightforward. The deployment took very little time. The main time frame taken was on the SAP side. We put SAP on the Azure cloud which took some time.
I would rate it an eight out of ten.
Think about your file structure to make sure you get it right. Management of the business is important because if the business starts pushing data into it in can turn into a data swamp.