Cross-Cloud Analytics

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Cross-Cloud Analytics

Ability to analyze data across multiple on premises and multi-cloud systems without the need to move the data from where it resides

Is there a dire need for Cross-Cloud Analytics?

Enterprises do not want to move data from its original location when it comes to running analytics and that is where Ameerz has developed a mechanism of automating the process of analyzing data across major clouds with a single SQL query.

Benefits of utilizing our bot privacy includes the ability to run faster queries on huge data sets making your enterprise as a whole more productive when it comes to performing Analytics.

Is it possible to capitalize on Multi-Cloud offerings without the unintended creation of Silos?

Embracing Multi-Cloud environments means utilizing the best features and offerings of each cloud and although this sounds like a win-win for the enterprise and the cloud providers, this further leads to the problem of Silos’s within enterprises since data exists in various different data sources and different locations. Hence, cross-cloud analytics will mitigate the need for enterprise data to be moved onto a single cloud or warehouse letting you the enterprise continue to be a major proponent of Multi-Cloud infrastructure and to have the luxury to pick and choose the best of what each Cloud provider has to offer without ever having to risk privacy/compliance issues that usually arise when moving data for Analytical purposes.

Cross-Cloud analytical capabilities enhance compliance

In order to satisfy local data residency requirements companies have to store data in different cloud regions. Therefore the problem prevalent in the market today is that analytics solutions need to transfer data between systems or locations but that is not an option as per compliance measures with data residency laws.

It is significantly beneficial for enterprises to deploy our bot privIC that has built-in cross cloud analytical capabilities for the purpose of data processing to be pushed to the region where the data resides and to have only fully aggregated insights leave. Although, in some cases restricted data must leave and that is where our bot privIC can also mask that data to adhere to privacy and compliance requirements.

Anomaly Detection

ML Driven Data Intelligence

Strategic Migrations Via ETL