According to Forbes, data has a lot of enemies – and the largest group of opponents might just be those of who have simply been forced fed too much media spin on the subject in the first place. The term Big Data has arisen to be defined as an amount of data that will not practically fit into a standard (relational) database for analysis and processing caused by the huge volumes of data created by IoT as well as machine-generated and transactional processes. Some of the enemies of Big Data include – IT architecture, amateur data science, resources (resources that are able to analyze data, draw conclusions and help organizations make better business decisions based on the data), and culture – which are the ways an organization makes decisions based on what has previously been done successfully, or unsuccessfully.
What is Big Data? Like most in tech, it depends on your perspective. Big data is data that’s too big for traditional data management to handle. ZDnet describes Big Data in three V’s: volume, velocity, and variety: these three vectors describe how Big Data is so very different from old school data management. Volume is the V most associated with Big Data because, well, volume can be big. Velocity is the measure of how fast the data is coming in. For example, Facebook has to handle a tsunami of photographs every day. It has to ingest it all, process it, file it, and somehow, later, be able to retrieve it. The variety depends on the type of data coming in. For example, email messages. A legal discovery process might require sifting through thousands to millions of email messages in a collection. Not one of those messages is going to be exactly like another. Each one will consist of a sender’s email address, a destination, plus a time. The three V’s describe the data to be analyzed. Analytics is the process of deriving value from that data.
The Seven Enemies of Big Data – Forbes
With Pivotal Software Inc.’s announcement that it is formally abandoning Hadoop development in favor of standardizing on Hortonworks Inc.’s platform, the field of active competitors in the Hadoop market has been culled to just a handful. With that as a backdrop, SiliconANGLE checked in with Mike Olson, who co-founded Cloudera, the first commercial Hadoop company, in 2008. Cloudera is considered the market leader in Hadoop-related platforms. With massive funding from Intel Capital and others, it’s well-positioned to see the market through to maturity.
Twin sisters and social entrepreneurs America and Penelope Lopez, are taking up the fight against one of the most revolting crimes on the planet—human trafficking with their Beacon of Hope IoT app. It is the latest in the string of hackathon successes that includes an anti-bullying app and a police body cam with facial recognition. In volume, the cost to set it up would be negligible, and data from Google and Palantir could be used for targeted placement along human trafficking trade routes. Central to the design is a single fact revealed from former victims: the only time victims are away from their captors and alone is when they enter a public bathroom. After a victim acquired a tracker, they would squeeze it to turn it on, broadcasting its unique identifier, which volunteers’ smartphones would pick up and relay to law enforcement and victim assistance non-governmental organizations (NGOs). A rapid response might free the victim.The Lopez sisters will also use the Amazon Dash button as a Button of Hope. Originally designed for reordering products, it has a microcontroller and a Wi-Fi and Bluetooth radio with an AAA battery that is programmed to do just one thing: send a unique identifier over the network to Amazon to order staples such as laundry detergent. Installed in a public restroom, the button would be repurposed to send a signal over the local Wi-Fi network to law enforcement that a victim has temporary sanctuary at a known location.
MediaPost offers a great example of how the concept of personalized marketing has changed over time. 30 years back, a personalized shopping experience would be a family going to a meat market and the butcher knowing the family by face and asking how they are and giving them deals and that in turn makes the family a life time and loyal customer. Today, marketers are harnessing data because they’re trying to create relationships that are as effective as a local family’s butcher. Targeting and personalization are crucial reasons why more dollars are being spent online than anywhere else, that being said, marketers are in need to find more strategic ways to reach and maintain their loyal customers.
Personalization vs. Personal relationships – MediaPost
Red Hat made it clear a few years ago that it couldn’t rely on its Red Hat Enterprise Linux (RHEL) glory forever. It needed a path to transformation and it saw a way with OpenStack and the hybrid cloud. Today it continued its steady march toward fulfilling that cloudy vision with the release of OpenStack Platform 8 and the Red Hat Cloud Suite. The cloud suite offers an integrated package with cloud, DevOps and container tools in a single solution with the kind of management layer you would expect in such a suite. It combines Red Hat OpenStack with Red Hat OpenShift, its container environment and CloudForms for overall management and the ability to add self-service in a private cloud setting. The idea is to provide an integrated package, but recognizing not everyone will want to get the entire solution from one company, it will also offer the pieces individually and work with other offerings.