Big Data solutions appear to be one of the leading technology trends every year, which is no accident.
Having the best tool to extract value from this massive range of data produced continuously by people, objects, applications, and any data generator can be complex for a company to stand out in its market. One of the complete tools for working with data strategically is the Microsoft Big Data platform.
With these tools, managers will analyze customer wishes, make more informed decisions, increase productivity and quality, among other optimizations.
All of this through obtaining insights with the analysis of structured, semi-structured, or unstructured data. The objective here is to enhance the business through predictive analysis rather than a retrospective view.
Do you want to understand better the structure of the Microsoft Big Data platform and the benefits it can bring to your company?
Does the Microsoft Big Data platform provide an advanced analytics architecture?
Firstly, because you will transform all the data produced internally and externally into insights using the best Machine Learning tools, the company will be able to deploy machine learning models by combining data at any scale.
The goal of most big data solutions is to provide insights into the data through analysis and reporting. The architecture can include a data modeling layer, such as the tabular data model in Analysis Services, to facilitate this analysis.
Analysis Services is a platform that offers enterprise-class data models in the cloud. It is possible to use advanced modeling and mashup resources to combine data from multiple sources.
Besides, the platform defines metrics and offers structuring and security with a tabular and reliable semantic data model. This model offers a more simplified way for the user to access a range of ad hoc data with agility.
It can also support self-service BI, using modeling and visualization technologies in Microsoft Power BI or Microsoft Excel. Analysis and reporting can also take the form of interactive data exploration.
For large-scale data exploration, you can use Microsoft R Server, standalone, or Spark. Allowing data training institute in Bangalore to take advantage of your knowledge in Python or R.