Hi Everyone,
What do you like most about Microsoft Azure Synapse Analytics?
Thanks for sharing your thoughts with the community!
It's scalable; you can scale up and scale down.
I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity.
I have not used the technical support from Microsoft Azure Synapse Analytics, but I worked with the developers at Microsoft who were top-notch.
The most valuable features of Microsoft Azure Synapse Analytics are the user experience because it is easy to make analyses, load different databases, and different resources. Our end users can do the analysis by themselves without IT supervising. This is a great aspect of the solution, it's better for our environment.
This is a stable solution with many functionalities.
The solution offers strong scalability opportunities.
Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution.
Fills the gap between big data and classic data warehouses.
The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit.
We've had a good experience with technical support in general.
The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services.
The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.
Overall deployment and integration is pretty fast.
The whole solution is interesting for us.
The useability, the user interface, is very user-friendly.
The solution's scalability is very, very good. It's one of the most important aspects for us.
The stability is pretty good.
We have found that it is easy to develop and to do the analytics in the modules of data.
We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on.
I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics.
The architecture, including compute and storage, is good.
They are very reliable and cost-effective.
It's user-friendly and has a good dashboard.
The most important feature for me is the integration with PolyBase.
The product is very user friendly.
Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across.
I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements.
It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works.
We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud.
They are available on the Cloud, and the platform is very intuitive.
The speed is great and the architecture is excellent.
Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task.
The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs.
The most valuable feature of the solution is the analytics and that it can connect with Power BI.
The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.
The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.
The most valuable feature is the scalability.
The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.
The initial setup was really easy and straightforward.
Scaling this solution is easy and the uptime is okay.
Which ETL or Data Integration tool goes the best with Amazon Redshift? Ex: Matillion, Informatica Cloud, Alooma, SnapLogic, SSISĀ