JUST UPDATED: HP’s Big Data Sales Cert

HP is known for its sales certifications. This iconic company knows that creating a great product is not enough: you need to teach salespeople to market it and seal the deals. And what’s a more iconic solution and popular buzzword today in tech than big data? Combine these two factors, and you get the latest HP certification update: the 2016 version of HP Sales Certified – Vertica Big Data Platform credential.

This certification tests your skills and demonstrates that a successful credential holder can position the HP Vertica Big Data Platform appropriately in response to customer needs. It validates your understanding of business drivers and customer pain points, knowledge of analyst reports and case studies, as well as the ability to articulate the business value of HP Big Data solutions. This HP certification also teaches flexible sales approach and the ability to overcome objections.

This certification primarily targets sales representatives seeking opportunities in the Big Data market. To achieve this certification, candidates need to take and pass HP2-N63 exam.

Exam objectives are as follows:

Explain HP Vertica Big Data Platform value proposition and product messaging in the Big Data market

• Describe the different types of data stored by Big Data solutions.
• Describe Vertica Big Data Platform value proposition and key differentiators.

Demonstrate awareness of Vertica Big Data Platform competitors in the Big Data market

• Differentiate Vertica Big Data Platform from legacy data warehousing and analytics technologies.
• Differentiate Vertica Big Data Platform from other Big Data solutions.
• Describe Vertica Big Data Platform positioning with respect to Hadoop.

Understand Vertica Big Data Platform buyers and decision makers

• Explain how to position Vertica Big Data Platform with different decision makers in an opportunity.

HP Vertica Big Data Platform Use Cases

• Identify typical business applications that are appropriate candidates for Vertica Big Data Platform implementation.

Big Data Market Glossary

• Describe relevant terminology and concepts used in the Big Data market.

Still unclear on what the term Big Data actually means?

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk. Vertica Big Data Platform is HP’s big data solution, popular with businesses and enterprises worldwide.

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