It has been an eventful week for big data. We’ve seen funding records broken, the announcement of collaboration between Dell, Cloudera and Intel, and the implementation of sensors in lamp posts to collect big data. For this weeks round up, we have selected our most popular pieces for your perusal.
TOP DATACONOMY ARTICLES
This year we have seen some interesting use cases in the application of big data analytics in sports. IBM recently announced that it will be using cloud technology and big data to enhance user engagement during the Wimbledon Championships in July.
In this edition of “Understanding Big Data“, we’ll be taking a more in-depth look at the term and its many different forms and applications. When many people hear the term “machine learning”, they conjure up mental images of robots who walk, climb or clean houses. In reality, machine learning starts alot closer to home.
Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e., Return On Innovation and Investment).
TOP DATACONOMY INTERVIEWS
Jonathan Ellis is the Project Chair of Apache Cassandra and one of the co-founders of Datastax, the leading enterprise Cassandra solution. We sat down with Jonathan at the Cassandra Berlin Buzzwords meetup to talk about the new features in Cassandra 2.1, when to expect a release date and Datastax’s plans for the future.
TOP DATACONOMY NEWS
The big data finance company Kreditech has closed a Series B round that raised 40 million USD in primary investment from new and existing global investors. This is the largest funding round ever for a German financial services technology company and one of the largest rounds in Germany in 2014.
A report from The Chicago Council on Global Affairs was released this month aiming to tackle the question of how big data can be used in municipal and government decision-making. Using specific examples from the City of Chicago, the report suggests that officials will have to turn to big data analytics in order to keep pace with infrastructure and services.