Big Data Analytics

Move workloads to the cloud with speed, agility, and security

Big Data Analytics Environment Optimized for Compute and Storage

Data drives the modern organizations of the world. Making sense of this data, discovering the various patterns and revealing the unseen connections has become critical to business success. Organizations are using more data than ever before to make better decisions and unlock new data-driven revenue streams. Being able to handle the massive data growth and extract timely insights from this increasingly important asset is, therefore, a strategic imperative for enterprises today and has spurred an entire Big Data industry.

The challenges that limit the overall adoption and scalability of traditional big data systems include:

Need for moving data from the source system’s storage into HDFS cluster resulting in delayed analytics.
Increased operational and capital cost of holding copies of data in different systems.
Security risk of associated with data residing outside of enterprise IT security domain in shadow IT environments.
Inability to scale storage nodes independent of compute in HDFS, leading to unnecessary resource cost. Specially for warm data/archive data that only uses storage and little to no compute resources.
Reliance on data replication (factor of 3) for data protection at large scale which increases the overall cost of data storage

See How You Can Benefit From Our Big Data Analytics

Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems.

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MindForce is a Data Management and Consulting company that leverages latest technologies (on-premise, cloud and multi-cloud solutions ) to build higher value technical solutions for customers worldwide. MindForce help organizations transform data into tactical insight for informed & Timely business decisions.

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