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Big Data

“In today’s world, Data is money”

It’s evident that everything is data-fied. An estimated 2,500 exabytes of data is collected in all servers across the world and this collection is growing at an exponential rate. Big data is now a powerful resource to any industry. Innovative and effective methods are emerging every day to harness and utilize this invaluable resource. Data-driven organizations achieve significant gains by implementing continuous improvement and predictive planning to improve customer satisfaction, quickly inform big decisions, eliminate waste and reduce risk.

Big Data is changing the way people within organizations work together. It is creating a culture in which businesses and IT leaders must join forces to realize value from all data, and protect it. Insights from Big Data can enable all employees to make better decisions – deepening customer engagements, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demands for insights require fundamentally innovative approaches to architecture, tools and practices.


What is Big Data?

Big data defines large volume of structured and unstructured data that is being generated by everything around us always. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills.


Why Big Data?

Big Data is changing the way people within organizations work together. It is creating a culture in which businesses and IT leaders must join forces to realize value from all data, and protect it. Insights from Big Data can enable all employees to make better decisions – deepening customer engagements, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demands for insights require fundamentally new approaches to architecture, tools and practices.

Hadoop

Built for Big Data, insights, and innovation, Hadoop is the engine of the data-first company – and Big Data’s future.


What is Hadoop?

Apache™ Hadoop® is a highly scalable storage platform designed to process very large data sets across hundreds to thousands of computing nodes that operate in parallel. It provides a cost-effective storage solution for large data volume. MapReduce, the programming paradigm that allows for this massive scalability, is the heart of Hadoop. The term MapReduce actually refers to two separate and distinct tasks that Hadoop programs perform. Hadoop has two main components - HDFS and YARN


Why Hadoop?

Some companies are delaying data opportunities because of organizational constraints; others are not sure what distribution to choose; and others simply can’t find time to mature their Big Data delivery due to the pressures of day-to-day business. Hadoop adopters won’t leave opportunity on the table. It is non-negotiable for them to pursue new revenue opportunities, beat their competition, and delight their customers with better, faster analytics and data applications. Hadoop adopters won’t leave opportunity on the table; it's a nonnegotiable for them to pursue new revenue opportunities, beat their competition, and delight their customers with better, faster, analytics and data applications.

Should I get started?

The smartest Hadoop strategies start with choosing distributions, then maturing the environment with a modernized hybrid architecture, and finally, adopting a Data Lake Strategy based on Hadoop technology.



We Provide



Data Scientists


Data Engineer’s


Programmers/Developers/
Architects


Data Visualization experts

Why Vuesol?

Vuesol helps your organization assess its Big Data by extracting, analyzing and interpreting what is relevant in it, to effectively extract useful information that can increase your organizations returns on investment. Guided by Vuesol’s Big Data consulting, your organization is prepared to better engage its customers, understand them better, communicate with them more effectively, provide improved customer service, and retain lasting business relationships.

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