Data center design continues to evolve with the adoption of new technology, and the technology that has had the biggest impact on data center requirements in the past five years has to be cloud computing. Rather than reinforcing firewalls to keep out intruders, IT managers are more focused on creating virtualized infrastructures that integrate cloud and remote resources into a single, secure system. The evolution of the data center requires the IT department to look beyond the network that is within its immediate control to securely integrate external systems and applications.

How Data Center Requirements Have Evolved over 5 Years

Here we'll review how data center requirements have evolved over five years.
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Big data can translate into big money, both for the companies looking to profit from big data analytics and for the solution providers providing big data services. However, for big data to yield a higher ROI, big data projects need to be well-defined and make the most of available information sources. Big data analysis can tell an organization a lot about its customer base, marketing programs, product development and manufacturing, and new areas of profit. It’s the big data consultant’s job to bring the right skills and experience to the project to make sure the analytics yield the right insights.

How Leveraging a Big Data Consultant Can Yield Higher ROI

Here are a few ways you can yield a higher ROI by leveraging a big data consultant.
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Millennials are taking charge of businesses everywhere, and your sales presentation needs to adapt to meet their expectations, especially when it comes to big data.

Understanding Big Data and Selling to Millennials

This post is packed with useful information about understanding big data and selling to millennials.
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Big data technology is maturing, and more organizations are dipping their toes into the big data pool and coming away with new insights about operations, customers and markets. Big data analytics is proving its worth with businesses of all sizes in all industries. The value of big data is that it can integrate almost any form of data set—structured SQL, unstructured data sources such as email or social media content and more—and it can reveal patterns and behaviors that were undetectable using data warehouse technology. However, as with any analytics, the answers are only as good as the questions. For big data to be valuable, you have to start with the right use case to define the parameters of the question to make sure the findings are valid. It’s often the reseller’s job to help customers create big data use cases that deliver ROI.

Five Big Data Use Cases That 2017 Will Bring

Here we'll explore some of the Big Data use cases that are gaining momentum for 2017.
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More data centers are making their way underground. Colocation and data center providers such as Iron Mountain, Cavern Technologies and InfoBunker are already operating underground data centers, taking advantage of natural cooling and protection from the elements. However, are underground data centers a coming trend or a novelty? Is it time for data center providers to dig in and start putting their servers and computing hardware underground? What options should solution providers recommend to customers?

Is It Finally Time to Build an Underground Data Center?

How does an underground data center affect operating costs and efficiencies? Let’s assess some of the variables.
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Any reseller that has been in business knows technology platforms come and go, but the value behind the technology persists. Rather than making the error of chasing the latest hot technology, smart resellers sell the value proposition behind the technology. With big data, for example, it’s important to understand how to use the tools required to complete a big data project, but the insight gained from the project itself is where the real value lies. Understanding which big data skills will deliver ongoing returns is more important than mastering the latest Hadoop techniques.

Four Big Data Skills that Will Never Lose Value

Here are just four of the big data skills that are sure to stand you in good stead, no matter what technology you use.
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Data centers have been around for as long as there have been computers, but data center design and use cases continue to evolve with new network architectures. Migration to the cloud and applications such as virtualization have dramatically changed the layout and applications of today’s data center.

4 Data Center Use Cases You Don't Consider

Here are just four of the latest data center trends that you and your data center customers may not have considered.
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Too often, corporate executives look at big data as a Magic 8 Ball capable of answering any question. The true results are more modest, although still impressive. Big data analytics can reveal much about your customers’ operations and their clients customers, but only if you can provide a well-defined use case and set define the scope of the analysis to yield reasonable returns. Seeing is believing, so when you’re selling a big data project, going in armed with examples will help you demonstrate the real value of big data while setting appropriate expectations.

Selling Tips: Big Data Examples for Your Customer

Here we'll showcase a few examples and tips for selling big data to your customers.
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Technology drives all aspects of business, including selling to consumers. New  consumer sales channels created through e-commerce and mobile commerce are helping to  make transactions and customer interaction more effective and efficient.

How to Help Customers Adapt to Technology Changes for Selling Better

Here are just a few of the areas where solution providers are helping streamline customer transactions with technology changes.
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Data Center Through Ingram Micro

From Compute, Networking, and Storage, to DC Software, Power and Security --understanding the right mix of technologies to create advanced solutions is critical. Ingram Micro’s Big Data team offers a unified line card that features the most comprehensive portfolio of in-demand and emerging Data Center products and solutions.
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