In September of 2015, Cloudera announced an innovative new storage engine for fast analytics on fast data: Kudu. The project is a response to users and customers that were stitching together hybrid architectures to draw out the benefits of Apache HDFS and Apache HBase while minimizing the gaps in those projects. HDFS can scan a…
In September of last year we reaffirmed that Apache Spark will replace MapReduce as the general purpose data processing engine of Apache Hadoop. At the same time we announced the One Platform Initiative to sharpen Cloudera and the Community’s focus towards maturing the enterprise readiness of Spark, as a cohesive component of the Apache Hadoop…
In the past years, big data has revolutionized the way much of our connecting, engaging, working and responding is done. Big data has also captured the attention and imagination of everyone, in its impact and potential. It is only natural that when an international event with major consequences occurs, questions arise about Big Data. Is…
2016 marks the 10th Anniversary of Hadoop. This birthday provides us an opportunity to celebrate, and also to reflect on how we got here and where we are going. Hadoop has come to symbolize big data, itself central to this century’s industrial revolution: the digital transformation of business. Ten years ago, digital business was limited…
Thanks to MeriTalk for featuring this Q&A on their blog and allowing us to syndicate it here. By Dan Verton and Diana Manos, MeriTalk Advancements in big data and analytics have given agencies an unprecedented ability to leverage information to drive actionable insight, to understand constituent needs, and to provide personalized services─from real-time traffic and weather updates,…