On Wednesday, March 12, 2014, the World Wide Web officially turns 25 and the exponential growth of the Internet is showing no signs of stopping. As of February 2014, the Pew Research Center estimates that 87% of American adults now use the Internet regularly.
The importance of the Internet as the largest, single open source database in the world is apparent as people of all demographics turn to the web to communicate and research. In a single day, Google receives over 500 million search requests and the web sees approximately 100,000 new domain registrations.
With more data than ever existing online, that value of accessing data from the World Wide Web has never been greater.
February 27, 2014 – Sioux Falls, SD - BrightPlanet Corporation is excited to announce that Dana Mills has joined the team as the Global Director of Sales.
Dana has consistently been recognized for her leadership in sales and joins the BrightPlanet team after spending over 13 years in the sales industry, previously serving as the Regional Sales Director for International SOS Canada, an international medical and security evacuation and healthcare services organization based in Toronto, Canada.
If you have been tracking our blog, we have predicted that Big Data-as-a-Service will be the next big thing and that it will lead to companies looking for external data sets as a resource for their Big Data projects.
Our third and final prediction for 2014 is that this concept of external Big Data-as-a-Service is about to cause big disruption for current data service providers, and it’s likely going to be done by small players with innovative data startups.
On February 14th, 2014, Netflix released the entire second season, a total of 13 episodes, of their hit drama series House of Cards for Netflix subscribers’ streaming pleasure. Discussion of the recently released House of Cards season took over the Internet as Netflix proved competent at not only offering content for subscription services, but creating exclusive content as well.
Within a few of the episodes during the new season, the Deep Web, a topic very familiar to BrightPlanet, was discussed. Find out what it is and if House of Cards was using it correctly.
In 2013, people were beginning to understand the true potential of large data sets. We began to see companies that were successfully using internal proprietary data sets to help increase revenue.
Retailers were increasing their target marketing utilizing data from current customers, car manufacturers relied on sensor data to report potential issues with vehicles, and insurance companies utilized structured customer information to increase the efficiency of underwriting; making pricing for policies much more accurate.
Based on this trend in 2013, we have pulled together our second Big Data prediction for 2014 in this post.
In January of 2012, the Wall Street Journal deemed that the upcoming year would be the year of Big Data. Since then, Big Data has been the go-to buzzword for not only the technology industry, but all industries across the board.
Industry leaders in retail, pharma, finance, and manufacturing began to share their success stories of the millions of dollars saved through the use of Big Data. Executives from all sorts of industries began to grasp onto the buzzword repeating their biggest fear; “without Big Data, their company had no chance of survival.”
We have pulled together our Big Data predictions for 2014. You’ll find our first one in this post.
It is the time of year where prediction and trends posts for the year in progress are popular. As a company focused on providing data to end-users, we are especially excited for what is to come for Big Data in 2014.
We are working on our Big Data predictions for 2014 as we speak but wanted to share a few of our favorite posts on the topic from the year so far.
Still a little confused regarding our harvesting and enrichment process? Spend 10 minutes of your time and learn how both the harvesting and enrichment of data works from one of BrightPlanet’s Data Acquisition Engineers. In this video, we’ll cover our history, a quick recap of the Deep Web, our different harvest types, and finally how we enrich and structure data to make it usable. Continue reading
Being in the business of data collection, most people’s interest in our technology has been focused on the process of how we harvest content. The truth is most of the value from harvesting both Surface Web and Deep Web data comes from what is done with it after the content itself is harvested; which is why we wanted to give you an overview of the data enrichment process.
Deep Web in the News
By now, you may have heard the term “Deep Web” as it has been used ubiquitously in the media. With the major break-up of the now infamous website The Silk Road that was found on the anonymous TOR network, the mainstream media has incorrectly been interchanging the TOR network and Deep Web. As a quick refresher about the Deep Web, it can be defined as anything that can’t be accessed by a search engine that crawls links on web pages.