Use these free images for your websites, art projects, reports, and Powerpoint presentations! Business intelligence commandos and consultants all over the world are set to help companies harness the power of the massive amounts of unused information they are unknowingly collecting in an effort to bring business decision making to the next level. If you’ve been searching online for a Big Data definition, chances are things are more confusing than ever.
The good people at Gartner have crated an understandable definition of Big Data describing it as “high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making”.
Big Data is commonly understood to be unstructured data, is sourced from text files and accounts for about three quarters of an organization’s total data. When businesses engage their customers with rewards or points systems, offer warranties or special offers, there is more to the story than just hashtags, replies and rate of usage trends. Big Data can also support government and service providers in finding solutions during outages and even disasters. Like Bob Dylan said in 1963, "The Times They Are a-Changin'."  Well, maybe they're not changing too much. Now let's fast forward to the age of the cloud, and we're presented with a different, yet familiar scenario. So when it comes to Dylan's "The Times They Are a-Changin’" saying, applying it to our reliance on software applications, we see that we still depend on the stuff that runs on our computers, but in a cloud world, it's not just one computer that's affected, it's many. Don't miss each week's most important technology trends, insights and decision-making advice, right in your inbox. Looking to expand on the big data capabilities of its cloud platform, Microsoft has introduced Internet of Things streaming analytics, data production and workflow services for Azure. Microsoft added three new big data services to its Azure cloud platform yesterday as part of its ongoing efforts to make Azure a leading platform for big data services and to make it ready to tackle the Internet of Things (IoT)."Every day, IoT is fueling vast amounts of data from millions of endpoints streaming at high velocity in the cloud," says Joseph Sirosh, corporate vice president of Machine Learning at Microsoft. Semantic search retrieves information based on intent or context rather than strictly returning results based on keywords.
The power and promise these combined technologies mean to you as a staffing professional searching for that foothold in a new vertical simply cannot be overstated. Put simply, there are just a whole lot more types of industries demanding top talent – and a whole lot more people whose skills can easily transfer from one vertical to another.  And the connections you need to see as a recruiter are in the data. Big data analytics combined with semantic search gives companies the opportunity to examine colossal data sets to find patterns, relationships and correlations that aid organizations in making better hiring decisions. The sheer volume of data available works to your business advantage, but turning unstructured data into real-time analytics to find both passive and active candidates could be a game changer for the staffing industry.  In addition, by drilling down into the data, you can help your existing clients fight attrition and position your staffing company as a strategic partner.

Access to qualified talent is only limited to your creativity and ability to think semantically.
The opinions expressed by guest authors do not necessarily reflect the positions of Staffing Industry Analysts.
You’ve got the hang of your customized apps, super sophisticated cloud-based CRM and even the reporting tools. Big Data is about identifying changes and relationships and linking data that move at different speeds rather than focusing structured, predetermined variables at regular intervals. It’s often measured in petabytes or exabytes (fancy words for really, really big) but does not refer to a specific number per se.
Super analysts who find trends and usable information not otherwise available within a company’s structured in-house databases tap the contents of customer feedback and communication in social media and other online sources. Searching secondary communication channels for spikes in social media keyword use or locations can reveal details that are not evident in primary communication data like direct calls or emails. Everything consumers and business do leaves a massive trail of chaotic and seemingly unrelated information just waiting to be analyzed. Many end users have sat in shock, followed by disdain, as they realized that their unsaved documents were lost and replaced by that hideous screen of blue.
As more companies move their applications to off-premises cloud providers, the reliance on connectivity and cloud provider uptime grows. What started as Lync problems led to a nine hour outage affecting a significant number of email users. If there's no connectivity between the home office and the cloud data center, end users will still just sit there shuffling through papers, looking for something to keep them busy.
Simply put, the ability to manipulate big data — big candidate data, that is — helps you find, manage and reach out to more candidates and companies.
The sheer volume of human capital data available today makes the job of sifting through social networks, digital job boards, industry sources and resources daunting. And after months of confusion, stress-sweat and heart-stopping errors, you are finally in the know and on top of your cloud.
This includes embedded text as well as various data types and locations all for the purpose of establishing communication patterns and links among otherwise exclusive groups. In fact, data sets are so large and so pervasive they defy the usual methods of management and analysis. With all eyes on the cloud, watching for its success or failure, the impact of the outage was big enough to draw the attention of the entire IT industry.

Recently, Internet providers got a wakeup call when Time Warner Cable had an outage that affected over 11 million customers [Read: Time Warner Outage Prompts Investigation on Reliability]. In this new and fast-moving world of cloud and devices, businesses can no longer wait months or weeks for insights generated from data."Two of the services a€” Stream Analytics and Azure Event Hubs a€” are intended to help customers process data from devices and sensors in the IoT. So for a staffing professional,semantic search provides a way to parse any number of variables contained in an online resume or one stored in your proprietary database.  And if that proprietary database happens to exist within a cloud staffing software platform, this information is available to you from anywhere. Capturing, categorizing, storing and understanding it requires construction of data-centric architectures and cloud-based APIs and machine learning algorithms to translate data into meaningful trends and identifiers. The downtime was so bad, that the state of New York is investigating the event, especially since so many city services rely on some level of Internet connectivity. Edwards Deming and I worked together in the mid-1980s to streamline manufacturing operations at Control Data Computers.) While that statement holds as true today as it did in the mid-20th century, talent management is more challenging than ever. We can target more effective interventions, and can do so in areas that so far have been dominated by gut and intuition rather than by data and rigor,” write Andrew McAfee and Erik Brynjolfsson in Harvard Business Review. Technology is a moving target (get used to it) and it’s time to hit a new learning curve on the next frontier—Big Data. Microsoft announced support for Apache Storm in Azure HDInsight earlier this month."The scenarios are similar," says Herain Oberoi, director of product management, Microsoft Data Platform, at Microsoft.
The evolution of and access to online information may be either a curse or a gift, depending on your comfort level with the Internet and, now, big data.
We’re asking companies (and hiring managers) to make decisions business executives could only dream of a generation ago. For customers that want a more managed service where the actual coding is less, the package management is less, then Stream Analytics makes more sense. Complementing Stream Analytics, Azure Event Hubs is a highly scalable publish-subscribe ingestor that collects millions of events per second, allowing users to process and analyze data produced by connected assets such as devices and sensors. Stream Analytics provides out-of-the-box integration with Event Hubs a€” when connected, these two solutions enable customers to harness IoT by processing and analyzing massive amounts of data in real time."Beyond the Internet of ThingsHowever, Microsoft isn't focusing on only the Internet of Things.

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