Globally, business enterprises are investing in developing a solid framework for Public Clouds using Big Data Analytics with a unified approach. Today’s Big Data analytics industry is very different from what it was in 2011-2015. Between 2015 and 2018, the Big Data industry grew by a whopping 250% in terms of dollar size, data volume, veracity and number of applications; a large part of that has to be attributed to the ongoing Cloud revolution.
In this article, we are exploring how data analytics is slated to shape the Cloud ecosystem.
Convergence of Infrastructure and Platform-as-a-Service Applications
Public Cloud revolution is hinged on the Big Data analytics training and applications. The top platforms in the industry, AWS, Google Cloud and Microsoft Azure, are continuously innovating with high-powered quantum computing technologies powered by data analytics and big data aggregators. Established data vendors like IBM, Oracle, SAP, SAS, and Dun and Bradstreet are offering multi-level IaaS and PaaS to dominate the Cloud revolution.
Hybrid Clouds are widening the Gap with Private Cloud Infrastructures
A majority of courses in the big data analytics training in Bangalore identify Data intelligence and analytics as technology enablers for dedicated Clouds and Public clouds. Hybrid Cloud architecture leverages at least two different Cloud deployment models based on IaaS, PaaS, SaaS, and other, bound together by appropriate technology integrations and data portability boundaries.
Data analytics Bangalore are defining Hybrid Clouds with new-age Data Loss Prevention (DLP) solutions to identify and investigate data breaches, complying with industry and governance policies.
Analytics and Compliance: Why Cloud Governance Remains Critical?
Maintaining and demonstrating the highest adherence to Data regulations and Cloud management compliance can put any Cloud revolution out of the wheel. As cloud infrastructures get complex and open to data breaches, relying on certified professionals with Data Analytics training in Bangalore ensure that business enterprises are using only consistent Data Management tools. These tools are controlled by administrators who are aware of these processes:
- Compliance: HIPAA, SOCi, GDPR, PCI etc.
- Data Encryption
- Data Auditing and Sovereignty
- Secure Containers
- Disaster Recovery
Surviving the AI Onslaught
AI is more than just hype- or a technical buzzword that is slated to go mainstream for big data applications and data management tool providers. However, everything is not hinged on AI applications. As data governance imply highest standards of compliance on Cloud infrastructure, AI and machine learning with data analytics training could solve hundreds of security issues for businesses. While AI is the readymade answer to most security issues faced by enterprises, it is truly a question of who would control the technology—
Simple! It would be certified professionals with Data Analytics training expertise.