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Big Data

You could view “big data” as a trend, or as a catch-all term for certain tech paradigms. Today’s “big” is tomorrow’s “small.” Peta is the new tera. Technology has always struggled with “bigger-that-we-can-comfortably-handle data.” And tomorrow’s “projects du jour” will be different. Learn more now.

What is Big Data?

Big data is being generated by everything around us at all times. 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.

Big Data - everywhere

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 volumes with no format requirements. 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 still 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.

Why Vuesol?

Vuesol helps your organization assess its Big Data, and extract, analyze and interpret what is relevant in it, to effectively predict in advance what your customers want, thus increasing your organization’s 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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