How Big Data Changes the Way We Relate

June 18th, 2014 by - 1,967 views

Big Data is already changing the way research is done – from weather reports to highly progressive cancer research, most businesses stand to gain from the cloud web hosting phenomenon that major powers are adopting every day. Although the concept of Big Data is still relatively new, the technology has made a major difference not only in how data is collected and processed, but also in how the people using it relate to each other. Need proof? Look no further than the most social corners of the Internet for ample evidence.

It goes without saying that big data is already changing the way research is done today - from the weather reports to highly progressive cancer research, there's few businesses that can't stand to gain a lot from the cloud web hosting phenomenon that more and more major powers are latching onto all the time.

Big Data is already changing the way research is done – from weather reports to highly progressive cancer research, most businesses stand to gain from the cloud web hosting phenomenon that major players continue to adopt every day.

Let the cloud infrastructure find your next star candidate
These days, it’s rare to apply to a job without some type of web component being involved in the material submission process – whether a staff recruiter is scouring services that thrive on cloud hosting sites like LinkedIn or Monster or simply emailing to find the best candidate, the search for the perfect employee has definitely gone digital. This is good news for anyone looking for a new gig who doesn’t want to spend the cash to travel to follow employment leads to various locales, but it also creates a greater need to ensure their web presence is not only strong, but easily found and searched by scouts. Mashable writer James O’Brien wrote a piece on this evolving search process and shared some valuable insights with Ali Benham, the cofounder of popular recruiting firm Riviera Partners.

“Big Data is the future of recruiting, but you can’t just data mine your way to the right candidate,” Benham explained. “You need the right tools, the right combination of external and internal variables and – most importantly – the right people who know how to analyze all of it.”

O’Brien goes on to explain what variables are most important when looking for a new addition to the staff during a web-based search – mainly a quality check in the company’s Human Resources department to follow up on the incredible results Big Data has delivered already. For example, major companies like Xerox have been reaping the rewards of this approach.

“In a single six-month trial period, Xerox was so impressed by the outcome that it decided to keep using Big Data to hire new employees for the center going forward,” O’Brien shared.

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Developments Show Big Data is Here to Stay

June 12th, 2014 by - 1,311 views

Big Data detractors, listen up: several recent developments indicate that use of cloud hosting and Big Data continues to increase, with tangible results. In spite of any setback, more and more businesses are adopting cloud technology and the security options required to keep their information safe, and those opting to use cloud storage for high volumes of data are beginning to see results. Not only is the system becoming more popular, it’s becoming smarter, too.

Big data detractors, step down - a number of recent developments indicate that use of cloud hosting and big data continues to increase, with tangible results.

Big Data detractors, listen up: several recent developments indicate that use of cloud hosting and Big Data continues to increase, with tangible results.

Big Names Endorse Big Data
InformationWeek writer Doug Henschen published a recent criticism of media coverage on Big Data, implying that a lot of reports are intended to scare off potential users in the interest of keeping older, less-efficient and less-secure systems in place.

“Media coverage of Big Data tends to fall into two broad categories: stories that are abstract, philosophical, or speculative about what Big Data is all about and how it will or won’t change the world; and more-concrete analyses about specific new capabilities or actual projects delivering results,” he wrote before providing readers with a long list of facts about why the detractors had the wrong idea.

Unsurprisingly, the use of cloud hosting providers has created positive changes in a number of major fields, many of which Henschen cites. The Weather Company, a large organization responsible for the all-popular Weather Channel and all its applications, is in the process of moving its massive information database to a cloud server not only to reduce the cost and risk of in-house data management, but also to increase the efficiency of its service. The cloud-based service will let The Weather Company take in more than 20 terabytes of data to analyze weather patterns every day and provide optimal speed for delivering the information to consumers.

A similar success occurred in the health sector when startup company Hadoop was able to harness cloud storage to analyze large volumes of cancer research to expedite the development of a potentially effective vaccine. When dealing with the issue of large amounts of data that are contained in massive files, the use of Big Data is a win-win for an organization’s bottom line as well as the for consumers that stand to benefit from the products.

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High RAM Cloud Servers for Distributed Caching

June 10th, 2014 by - 1,591 views

GoGrid has just released High RAM Cloud Servers on our high-performance fabric. These servers are designed to provide a high amount of available RAM that is most commonly required for caching servers. Like our other recent product releases, these servers are all built on our redundant 10-Gbps public and private network.

High RAM Cloud Servers are available in the following configurations:

High RAM RAM Cores SSD Storage
X-Large 16 GB 4 40 GB
2X-Large 32 GB 8 40 GB
4X-Large 64 GB 16 40 GB
8X-Large 128 GB 28 40 GB
16X-Large 256 GB 40 40 GB




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Supply chains belong in the cloud

June 6th, 2014 by - 2,250 views

Transportation experts already use bar codes and radio transmitters to keep track of outbound and inbound materials. However, third-party logistics providers may need to employ cloud computing to keep pace with a clientele that primarily consists of nationwide retailers.

A commercial truck transports goods on an interstate highway.

A commercial truck transports goods on an interstate highway.

Merchandisers have realized that aggregating data from numerous sources and then transcribing it into actionable information is a process that will allow them to remain competitive. A portion of that intelligence is collected from hundreds of thousands of daily eCommerce orders, which is then transferred to supply chain professionals in charge of shipping each item to customers across the country.

Leveraging surveillance 
The aforementioned process enables logistics experts to accurately predict future consumer demand and initiate deliveries the instant an order is made. Distributing that huge amount of tangible capital from region to region requires comprehensive, real-time oversight to optimize efficiency and stay one step ahead of criminals interested in stealing freight. This high level of surveillance is provided via Internet-connected devices installed on each asset (trucks, forklifts, pallets, individual packages, etc.).

According to Tech Radar, a report conducted by Gartner suggested that the number of mechanisms capable of communicating with the Web will reach 26 billion by 2020, 25.1 billion more than the amount that existed in 2009. The firm noted that although this growth presents a great opportunity for companies to obtain a wide variety of information, it also will pressure on-premise data centers trying to adequately handle an expanding amount of data at a faster pace. Aside from the amount of intelligence that’s projected to become available, the sophistication of such devices must be put into perspective, noted Gartner’s Managing Vice President Michael Burkett.

“Some IoT [Internet of Things] devices are more mature, such as commercial telematics now used in trucking fleets to improve logistics efficiency,” said Burkett, as quoted by Tech Radar. “Some such as smart fabrics that use sensors within clothing and industrial fabrics to monitor human health or manufacturing process are just emerging.”

Applying them to logistics 
The fact that distributors are already using IoT is definitely a step in the right direction, but many are still stuck with on-premise technology that’s preventing them from using more Internet-connected devices. Moving to cloud hosting will enable logistics companies to make the most of their data collection efforts and provide them with an environment capable of supporting complex analytics programs.

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Moving past data centers: Public cloud storage

June 2nd, 2014 by - 1,876 views

Managing data volume and storage using an in-house data center isn’t necessarily the cheapest endeavor. Between equipment maintenance and variable energy costs, obtaining information from these stores is pretty expensive and can weigh heavily on any IT department with less than a dozen people.

Data center employee works with a server.

Data center employee works with a server.

Scrutinizing categories
To reduce overhead costs, many organizations are choosing to invest in cloud storage, which allows companies to access intelligence more fluidly. According to IBM Systems magazine, there are three main categories of data enterprises handle on a regular basis:

1. Hot – information that’s needed most frequently and requires faster access
2. Warm – information that viewed fairly often and is stored on slightly slower storage
3. Cold – information that’s rarely accessed and can be stored on the slowest units

Traditionally, organizations have to factor in rack space, power supply energy requirements, redundancy, and recovery capabilities when prioritizing data center tasks. Certain algorithms are used to allocate workloads between servers to deliver higher performance. Each data category requires a different protocol and set of rules so that tasks can be managed efficiently.

Ascending into the cloud 
HostReview contributor Steve Jen noted that migrating data storage responsibilities to cloud servers eliminates much of the tediousness associated with in-house access and data processing. There are a few key reasons companies have decided to make this transition, the main one being a significant reduction in expenses. By moving to the cloud, IT departments can also realize other advantages such as eliminating the need to invest in tangible infrastructure like hard disks and cooling units or constantly maintaining those assets. By eliminating such administrative tasks, IT professionals can dedicate more time, energy, and resources to implementing business-changing applications, improving processes, and focusing on value-added services.

One of the most popular features of cloud computing is that it enables employees to access information when not in the office. This capability helps enterprises keep up with an increasingly mobile workforce, freeing staff from physical location and allowing them to build and maintain customer relationships on a more flexible schedule. In addition to viewing files from a home office, employees can store, collaborate, and synchronize documents and other data in near-real-time.

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