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The Anatomy of a Big Data Solution for Enterprise

Posted on: July 13th, 2015 by Daniella Lundsberg

The entire point of Big Data is to unlock the value that will drive better decision-making, higher operational efficiencies, customer loyalty, behavioral insight, and a host of other business outcomes that can positively impact your organization’s bottom line. Getting there requires an infrastructure that can collect, store, access, analyze and manage all the various forms of data inside your servers, or in the cloud, and allow you to convert it into actionable intelligence. And, by the way, it needs to integrate into your existing environment.

Hardware, Software, Platforms

IT infrastructure has evolved over decades from mainframes that handled yesteryear’s version of high-volume transactions, to online transactional processing (OLTP) databases –that became widely accessible in the form of CRM, ERP and e-commerce systems, to data warehouses that incorporated all of this transactional data with software for analytical insight – the rise of Business Intelligence (BI). Today, the evolution continues with HP ConvergedSystems bringing together compute, storage and networking, (including HP ConvergedSystem for Big Data optimized for SAP HANA), and HP Vertica Big Data Analytics Platform.

HP Vertica is a standards-based relational database that supports SQL, JDBC/ODBC and tightly integrates all popular BI and visualization tools. It can handle SQL and Big Data analytic workloads at 30 percent of the cost of traditional data warehouse solutions. It runs queries 50-1,000x faster, boasts petabyte-scale storage up to 30x more data per server, and offers the openness and simplicity to use any BI/ETL tools and Hadoop. Organizations can use HP Vertica to manage and analyze massive volumes of data quickly and reliably without the limits or compromises of traditional enterprise data warehouses.

Healthcare industry innovators, business collaboration platform providers, multimedia entertainment companies, and mobile game developers are among the legions of HP Vertica believers. (See for yourself.)

How About Hadoop?

The HP Vertica Analytics Platform and Hadoop are highly complementary systems for Big Data analytics. While HP Vertica is ideal for interactive, blazing-fast analytics, Hadoop is well suited for batch-oriented data processing and low-cost data storage. When used together organizations benefit from the synergies of the most powerful set of data analytics capabilities, extracting significantly higher levels of value from massive amounts of structured, unstructured, and semi-structured data.

Avoid Frankenstein’s Monster

Every organization’s technology environment and business requirements are unique, giving rise to the need for tailored solutions. Simply bolting parts onto your existing environment could cause the villagers to revolt. Before you embark on your Big Data quest, consult with a partner like American Digital to understand what embodies a successful enterprise implementation.

 

Join us in Chicago on July 23 at our Big Data Symposium. Meet tech execs from HP, SAP, Hortonworks, and Big Data guru & Fortune 50 consultant, Chris Surdak. Register here.

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