Big Data • Big Analytics • Big Insight

Features

Taming the Wild Side of Hadoop Data

Jan 28, 2015 |

Organizations are attracted to Hadoop because it lets them store huge amounts and different types of data, and worry about structuring it later. But that “anything goes” philosophy has a downside, and can threaten to turn a big data lake into bottomless pit. Today Hortonworks unveiled a plan to give data management on Hadoop just a bit more structure. Dubbed the Data Governance Initiative (DGI), Hortonworks aims to lead the development of new open source software that help organizations track Read more…

Three Ways Big Data and HPC Are Converging

Jan 27, 2015 |

Big data is becoming much more than just widespread distribution of cheap storage and cheap computation on commodity hardware.  Big data analytics may soon become the new “killer app” for high performance computing (HPC). There is more to big data than large amounts of information.  It also pertains to massive distributed activities such as complex queries and computations (a.k.a analytics).  In other words, deriving value through computation is just as “big” as the size of the data sets themselves.  In Read more…

Rethinking Hadoop for HPC

Jan 26, 2015 |

Hadoop’s momentum has caught the eye of those in the high performance computing (HPC) community, who want to participate and benefit from the fast pace of development. However, the relatively poor performance and high latency of Hadoop applications is a real concern. To address the problem and make Hadoop a better fit for HPC resources, some are exploring how they can rewrite certain components of Hadoop in a more HPC-like manner. Those in the HPC world look at what’s happening Read more…

Who’s Buying Into Big Data? It’s Not Who You Might Think

Jan 23, 2015 |

In any fast-moving technological field, there’s going to be a fairly wide distribution between those who believe the hype and push its adoption, and those who move forward cautiously. But according to a new report from Teradata, the “perception gap” for big data is quite large and is hurting organization’s ability to take advantage of data analytics. In a new report called “The Virtuous Cycle of Big Data,” Teradata says it’s none other than the chief executives who are wearing Read more…

Solr or Elasticsearch–That Is the Question

Jan 22, 2015 |

That is the common question I hear: Which one is better, Solr or Elasticsearch? Which one is faster?  Which one scales better?  Which one can do X, and Y, and Z?  Which one is easier to manage?  Which one should we use?  Which one do you recommend? These are all great questions, though not always with clear and definite, universally applicable answers. So which one do we recommend you use? How do you choose in the end? Well, let me Read more…

Interana Nabs $20M to Continue Work on Time-Series Analytics

Jan 21, 2015 |

Hadoop may be the top headliner when it comes to big data analytics, but it’s not the only game in town. A case in point is Interana, a Silicon Valley startup that today unveiled $20 million in funding to ramp up development of its tool for exploring massive amounts of time-series data. Interana‘s software is based on a distributed column-based database that enables fast access to vast amounts of time-series data. Running on X86 servers, the database itself can process Read more…

Can Big Data Give Us Bionic Brains?

Jan 20, 2015 |

The rise of big data and analytics promises to transform many aspects of our lives, chief among them how we synthesize data and make decisions. Some theorize that big data will augment our own cognitive capabilities to the point where it’s like we have bionic brains. According to Deloitte Analytics, the field of cognitive analytics is an extension of cognitive computing, and is made up of three main components: machine learning, natural language processing, and advanced analytics. These technologies, combined Read more…

Creating Flexible Big Data Solutions for Drug Discovery

Jan 19, 2015 |

He didn’t know it at the time, but when high school student David Tester acquired his first “computer”  – a TI-82 graphing calculator from Texas Instruments – he was on a path that would inevitably lead to Big Data. Tester’s interest in computation continued through undergraduate and graduate schools culminating in a Ph.D from the University of Oxford. He followed a rather unusual path, investigating where formal semantics and logic interacted with statistical reasoning. He notes that this problem is Read more…

Pulling Insights from Unstructured Data – Nine Key Steps

Jan 16, 2015 |

Data, data everywhere, but not a drop to use. Companies are increasingly confronted with floods of data, including “unstructured data” which is information from within email messages, social posts, phone calls, and other sources that isn’t easily put into a traditional column. Making sense and actionable recommendations from structured data is difficult, and doing so from unstructured data is even harder. Despite the challenge, the benefits can be substantial. Companies that commit to examining unstructured data that comes from devices Read more…

Graph Databases Everywhere by 2020, Says Neo4j Chief

Jan 15, 2015 |

In a market rife with disruptive innovation, perhaps nothing will be as groundbreaking over the next five years as the widespread adoption of graph databases, according to Neo Technology CEO Emil Eifrem. Just four years since its founding, Neo Technology has risen to the top of the graph database heap, which itself has seen a remarkable amount of growth compared to other database types (see fig. 1). The company’s product, called Neo4j, is arguably the most mature of the graph Read more…