The Big Data Storage Opportunity in the Cloud

February 21st, 2014 by - 2,291 views

The Big Data phenomenon has encouraged organizations to pursue all options when accumulating increasingly diverse information sets from highly disparate sources. The trend has essentially expanded the network and caused an influx of traffic. Unfortunately, conventional IT systems with minimal or limited bandwidth simply can’t live up to the constantly changing levels of data transit. This complication is causing some organizations to stop in their tracks, ending Big Data initiatives before they can provide any proof of positive returns.

The big data storage opportunity in the cloud

The Big Data storage opportunity in the cloud

The good news is that the volume of Big Data doesn’t have to be a deterrent. Instead, experiencing problems with increasingly large amounts of information can be a wake-up call for businesses to implement new technologies like a flexible storage and warehousing environment that are capable of scaling on-demand.

Enter: cloud computing.

Although the cloud has received a lot of attention in the application development, backup, and disaster recovery markets, its highly agile nature makes it an especially beneficial solution in the Big Data realm. By implementing a cloud storage architecture, for example, organizations can gather massive amounts of information without worrying about hitting capacity. And because the cloud is so scalable, decision-makers pay only for what they need when they need it, making the hosted environment ideal for the constantly changing demands of Big Data.

So what’s the catch?
There’s no doubt that cloud infrastructure services can be an appealing technology for companies looking to take advantage of the Big Data movement without encountering bandwidth or performance issues. However, that doesn’t mean the cloud is perfect. Some firms may encounter issues when using the cloud for the first time because the hosted services themselves are relatively new. The initial migration to the cloud, for example, can be difficult for enterprises that aren’t used to outsourcing or have never used managed services of any kind.

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Big Data Can Knock Down Technical Barriers in the Boardroom

February 5th, 2014 by - 10,807 views

The boardroom plays an important role in the ongoing development of an organization. Filled with executives and partners of all types, this room is the place where most decisions about a company’s future are made. Traditionally, discussions about the trajectory of enterprise programs were built around old conversations and past experiences, which guided decision-makers to either fund or kill prospective projects, depending on how rewarding managers believed certain initiatives would be in the long run.

Big data should knock down technical barriers in the boardroom

Big Data can knock down technical barriers in the boardroom

Today, some companies are embracing similar mentalities, which isn’t necessarily helping them, especially as new technological and operational trends emerge within the enterprise. Other firms are taking a more innovative approach and embracing the tectonic shifts happening within the IT landscape. In the past, IT movements were generally ignored by the boardroom because these projects were considered too technical, which meant that most employees were unaware of the direction of IT. The Big Data phenomenon has changed all of that.

Why bring data into the boardroom?
Businesses of all sizes and industries are quickly realizing that information is the key to success. Although this ideal has been reinforced in the past, the repercussions of not using data as a guide are becoming more widely understood.

Boardroom-level decision-makers used to base their expectations on gut feelings. Doing so was sometimes beneficial, especially when executives were highly experienced and aware of what was happening within their companies and competing firms; however, there was no effective way to guarantee their beliefs were accurate until it was too late to change their minds. Instead of following this antiquated approach to decision-making, executives can now use information to their advantage.

The digital world of today is fueled by a massive increase in available information because almost every activity carried out on a smartphone, tablet, or other computing device leaves a trail of data crumbs. By gathering these scraps of information and analyzing their trajectory, organizations can essentially predict the future and build strategies to maximize return on virtually any investment.

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How to Easily Deploy MongoDB in the Cloud

February 3rd, 2014 by - 2,660 views

GoGrid has just released it’s 1-Button Deploy™ of MongoDB, available to all customers in the US-West-1 data center. This technology makes it easy to deploy either a development or production MongoDB replica set on GoGrid’s high-performance infrastructure. GoGrid’s 1-Button Deploy™ technology combines the capabilities of one of the leading NoSQL databases with our expertise in building high-performance Cloud Servers.

MongoDB is a scalable, high-performance, open source, structured storage system. MongoDB provides JSON-style document-oriented storage with full index support, sharding, sophisticated replication, and compatibility with the MapReduce paradigm. MongoDB focuses on flexibility, power, speed, and ease of use. GoGrid’s 1-Button Deploy™ of MongoDB takes advantage of our SSD Cloud Servers while making it easy to deploy a fully configured replica set.

Why GoGrid Cloud Servers?

SSD Cloud Servers have several high-performance characteristics. They all come with attached SSD storage and large available RAM for the high I/O uses common to MongoDB. MongoDB will attempt to place its working set in memory, so the ability to deploy servers with large available RAM is important. Plus, whenever MongoDB has to write to disk, SSDs provide for a more graceful transition from memory to disk. SSD Cloud Servers use a redundant 10-Gbps public and private network to ensure you have the maximum bandwidth to transfer your data. You can use can GoGrid’s 1-Button Deploy™ to provision either a 3-server development replica set or a 5-server production replica set with Firewall Service enabled.

Development Environments

The smallest recommended size for a development replica set is 3 servers. Although it’s possible to run MongoDB on a single server, you won’t be able to test failover or how a replica set behaves in production. You’ll most likely have a small working set so you won’t need as much RAM, but will still benefit from SSD storage and a fast network.

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How to Deploy a Riak Cluster in 5 Minutes on GoGrid

January 31st, 2014 by - 2,487 views

The first big challenge to overcome with any new NoSQL database deployment is figuring out how to deploy the cluster in an environment that lets you scale as needed within a single data center and even across multiple data centers. To save cash, many customers make the mistake of trialing the product on cheap hardware with limited RAM across clusters that are inadequate for the application.

We think there’s a better way to run your evaluation. At GoGrid, we’ve made it possible to deploy a 5-node Riak cluster on beefy, high-performance machines with the click of a button. Check out the specs we’re providing as an orchestrated deployment using our 1-Button Deploy™ technology:

  • 5 nodes
  • 16 GB RAM per node
  • 16 cores per node
  • 640 GB storage per node
  • 10-Gbps network
  • 40-Gbps private network connectivity to additional Block Storage volumes (as needed)

Once the first cluster is deployed, you can point-and-click to add more nodes as you need them. Geek out for a moment on what you can do with this technology: You can run a user/session store for your application, use it to target and serve advertising, perform MapReduce operations, or any number of other things with just a few clicks of the mouse. And you can do it all in 4 easy steps.

Step 1: Login to GoGrid

To get started, login to your GoGrid account at https://my.gogrid.com to access the management console. If you don’t yet have an account, go ahead and create one: visit www.gogrid.com and click the Get Started button in the upper right-hand corner of the screen.

Step 2: Add New Infrastructure

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5 Ways Big Data Can Improve Your Business in 2014

January 29th, 2014 by - 4,504 views

The concept of Big Data escapes many, but those who take the time to understand and use it benefit significantly. It’s predicted that Big Data will become huge in 2014, but companies that make business intelligence solutions a priority early in January will undoubtedly gain an edge over their competition. From data-based decisions to improving customer satisfaction, here are 5 ways Big Data can improve your business in 2014.

How big data will change your business in 2014

How Big Data will change your business in 2014

1. Access trends through social media
Big Data and the analytics that decipher it can easily zero in on a particular trend in social media and capitalize on it in ways that are advantageous to your business. Quobole uses the example of a location-based trend. That means a business can detect when a store is getting a notable amount of buzz on social media through unstructured data. Using that information, the business’s marketing team can then send out a blast on social media encouraging users to visit the store and give them an incentive to make a purchase. That’s just one example of capitalizing on social media trends with Big Data.

2. Rely less on gut feelings
In the past, many business decisions have been made based solely on instinct. Increasingly, however, companies are relying on data collected through market research or online trends. Big Data gives companies even more information to go on, enabling them to make business decisions that are more factually based and considerably less risky. If you have actual data, you can weigh real-life pros and cons before plunging into the deep end.

3. Stay ahead of the competition
Because Big Data is expected to go mainstream in the next year, businesses can get a head start on the competition by familiarizing themselves with business intelligence solutions. The sooner businesses start to use trends found by unstructured data, the larger head start they’ll have on the competition. It’s strategies like this that can turn underdog companies into market leaders and keep these top businesses at the forefront of their industry.

4. Make customers more satisfied
One of the biggest ways Big Data is changing businesses is by improving customer service. According to The Wall Street Journal, Netflix began using unstructured data for this purpose in 2008. After an outage, the company used the data to spot problem areas and improve the technology. It also used the data to inform the future viewing suggestions they offer customers. Big Data lets Netflix know where the most traffic is on their website and helps on-site engineers plan for better network capacity. Now, Netflix is a top company for on-demand Internet streaming.

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