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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The Internet of Things (IoT) may be the biggest thing to hit the data center market since the cloud. Consider that there are billions of devices on the planet that use sensors; also consider the growing number of sensors that can send data over the Internet. Gartner, Inc. estimates that there will be 5.5 million IoT devices in place this year, and that by 2020, there will be 20.8 billion, with an associated revenue of $300 billion, mostly from services.

7 Data Center Requirement Considerations for IOT Infrastructure

What’s the best way to prepare a data center for the coming of IoT? Here are seven considerations:
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Data analytics are becoming more sophisticated and more meaningful every quarter, which means that they are becoming more valuable for data center operations. As data centers evolve and embrace new connections and new connection strategies such as virtualization, it becomes more difficult to determine what impact these changes have on network performance. Using analytics, IT managers can identify and even predict potential choke points and errors before they create problems.

Key Benefits of Managing Data Center Operations with Analytics

As companies are harnessing big data to address business problems, organizations are using big data analytics to look inward at the data center
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When it comes to data center design and infrastructure, we talk a lot about cloud computing, virtualization, and ways to do more with less hardware. No matter what the architecture, you still need the right connectivity hardware in order to bring it all together. Routing, switching systems, and the means to secure data systems are still an essential part of data center design.

A Secure Data Center Infrastructure Demands the Right Routing, Switching, and Security

Why routing, switching systems, and the means to secure data systems are an essential part of data center design.
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Virtualization is driving the need for software-defined networking (SDN) in the data center. New demands on IT staff to support cloud computing services, mobile applications, BYOD, and big data applications are placing new demands on the data center to deliver more flexibility, better performance, and greater security. Rather than continually adapting the physical data infrastructure to accommodate these changing demands, the infrastructure must be delivered as a service powered by software, hence the software-defined data center (SDDC). And to enable a scalable network infrastructure that can handle rapidly changing resource demands, the SDDC must be extended to a software-controlled, switched network fabric: the SDN.

How SDN in the Network Results in SDN Use Cases in Data Center

SDN is maturing rapidly as a viable networking strategy and as a robust market for VARs. Here are a few common use cases for SDN in the data center.
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As more organizations adopt big data to gain better insight about their products, customers, operations, and potential markets, IT managers consider the impact big data has on their database management strategies. Do they have to mothball their data warehouse? Does their legacy data have any bearing on new big data projects? How do they include big data as part of their overall database management strategy?

How Selling Big Data Affects Database Management

Find out how selling big data affects database management.
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By Marko Rogan

Get Ready for SDN

Manufacturers have accelerated their delivery of Software-Defined Networks to the market. What should be the next step for VARs to get ready for SDN?
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Big data has been getting a lot of hype as a revolution in database management. Actually, when you consider what goes into big data, you will realize that big data is the next logical step in database management. For decades companies have been gathering information in structured database formats for use in business intelligence. Database management has been responsible for archiving and accessing that data to get a historical picture of sales, profits, inventory, and other information structured using SQL or some similar database format. Big data now combines that structured data with unstructured data to expand the data set resulting in better insights.

A Direct Corellation Between Database Management and Big Data

Big data has been getting a lot of hype as a revolution in database management.
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Software-defined networking (SDN) and software-defined storage (SDS) are both enabling technologies for big data. Using SDN and SDS big data architects can design infrastructures that integrate enterprise and cloud resources. SDS alone can extend big data storage capacity and accommodate any data type, but as with all data sources, SDS security has to be a major consideration.

The Relationship Between SDS Security and Big Data

Software-defined networking (SDN) and software-defined storage (SDS) are both enabling technologies for big data.
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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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