Cloudera, the category leader that is setting the standard for Apache Hadoop in the enterprise, today announced it has closed $65 million in a new funding round led by Accel Partners, with support from Greylock Partners, Ignition Partners, In-Q-Tel, and Meritech Capital Partners. The investment will fund global sales growth and fuel continued development of its platform for Big Data in support of its growing enterprise customer base. The company will be expanding its international presence with the opening of a European headquarters in the UK, in the first quarter of 2013.
The value of any data is only as valuable as the information and insights we can extract from it. It is the information and insights that will help us make better decisions and give us a competitive edge. The promise of big data is that one could glean lots of information and gain many valuable insights. However, people often don’t realize that data and information are not the same. Even if you are able to extract information from your big data, not all of it will be insightful and valuable.
BigQuery enables businesses and developers to gain real-time business insights from massive amounts of data without any upfront hardware or software investments. Imagine a big pharmaceutical company optimizing daily marketing spend using worldwide sales and advertisement data. Or think of a small online retailer that makes product recommendations based on user clicks. Today, we are making BigQuery publicly available, an important milestone in our effort to bring Big Data analytics to all businesses via the cloud.
Jonathan Goldman is a good example of a new key player in organizations: the “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data. The title has been around for only a few years. (It was coined in 2008 by one of us, D.J. Patil, and Jeff Hammerbacher, then the respective leads of data and analytics efforts at LinkedIn and Facebook.) But thousands of data scientists are already working at both start-ups and well-established companies.
Big data is getting personal. People around the globe are monitoring everything from their health, sleep patterns, sex and even toilet habits with articulate detail, aided by mobile technology. Whether users track behavior actively by entering data or passively via sensors and apps, the quantified self (QS) movement has grown to become a global phenomenon, where impassioned users seek context from their big data identities.
Two worlds exist when it comes to the enterprise. The new generation of cloud services represents one space. They rely on distributed infrastructures on Amazon Web Services (AWS) and the rest of the vendors in that world.
Google sits on masses of traffic and advertising data, and has decided that it should take advantage of its expertise in building the infrastructure to handle those petabytes of information to offer a data analytics service in its cloud.
Big data will drive $232 billion in spending through 2016. It will directly or indirectly drive $96 billion of worldwide IT spending in 2012, and is forecast to drive $120 billion of IT spending in 2013.
Big data is one of the more fascinating developments in today's tech world: harnessing the huge wave of information that comes out of our many Internet-based networks and then trying to make sense of it.
I spent two days last week watching experts on big data and data science discuss how their companies are building businesses around data, or at least rethinking how they do business. Although most came from the web, these five ideas should matter across industries.