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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…

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…

How Big Data Tech Is Bridging the Analytical-Transactional Divide

Jan 14, 2015 |

Time was, production IT systems lived in two main camps: analytical and transactional. Transactional systems (OLTP) ran in real-time on relational databases, and analytical (OLAP) systems ran in batch mode on more exotic gear. But now, the rise of big data and NoSQL technologies is eliminating the gap and blurring the lines between what is analytical and what is transactional. The OLTP-OLAP boundary had a good reason for existing in the past. If you were a traditional bricks-and-mortar type of Read more…

The Secret to Generating Value from IoT Data

Jan 13, 2015 |

Over the last 10 years, enterprises have been implementing IoT applications by connecting devices and “things” on their internal network (Intranet) to provide better customer service, reduce costs and more. By applying advanced analytics technologies designed specifically to handle the requirements of real-time big data analytics, many businesses today are converting the vast amounts of IoT data generated into actionable insights. With more and more devices
being connected to the Internet, the opportunity for additional value is growing rapidly as the Read more…

News In Brief

Why Machine Learning Is A Priority for Andreessen Horowitz in 2015

Jan 26, 2015 |

Marc Andreessen and Ben Horowitz are legendary in the Silicon Valley, having invested early in firms like Twitter, Facebook, Box, Skype, and Groupon. So when the Sand Hill Road experts with an eye for picking winners put machine learning near the top of its list of trends to watch out for in 2015, it was a cue that the technology is on the cusp of having a breakout year. The way that Andreessen Horowitz sees things, machine learning and big data Read more…

Oracle Rejiggers Exadata for Emerging In-Memory Workloads

Jan 22, 2015 |

Organizations that adopt the latest generation of Oracle’s engineered systems will have more flexible configuration and licensing options available to them than previous generations. That will make it more cost effective to run emerging in-memory workloads, such as operational analytics, the company says. At a live launch event in Redwood City, California, Oracle chairman and CTO Larry Ellison unveiled the X5 generation of its various all-in-one server platforms. The Exadata Database Machine is headlining this new generation, and backed up Read more…

Cloudera Teams with Google to Run Dataflow on Spark

Jan 20, 2015 |

Cloudera and Google today announced that they’re working together to get Dataflow–the big data pipeline model Google publicly launched last June–to run on Apache Spark, thereby giving customers more freedom to run their big data applications wherever they see fit. Google Cloud Dataflow is a managed service for creating data pipelines that ingest, transform, and analyze massive amounts of data, in either batch or streaming modes, using the same SDK and API. The service is based internal Google technologies like Read more…

Predicting Consumer Behavior Drives Growth of Text Analytics

Jan 16, 2015 |

Retailers are getting hip to the latest fashion—using text analytics to predict what consumers are going to do and buy next. According to a new report by Allied Market Research, predictive analytics in the retail sector will be responsible for nearly a third of growth of the overall text analytics market. That market could grow 25 percent a year annually through 2020, when it may account for $6.5 billion in spending by organizations, they say. Predictive analytics will be big Read more…

Alteryx Adds In-Database Blending

Jan 15, 2015 |

The latest release of an analytics platform combines data “blending” with predictive analytics tools intended to help combine large datasets with databases rather than just subsets of data. Alteryx Inc. said Thursday (January 15) its Analytics 9.5 release aims to allow data analysts to progress beyond spreadsheets by leveraging in-database blending tools to draw insights from large datasets in Microsoft and Oracle databases. The company claims its approach is “faster than hand crafting code, even when taking advantage of an Read more…

This Just In

Text Analytics Market Expected to Reach $6.5 Billion by 2020

Jan 16, 2015 |

Jan. 16 — According to a new market research report titled, “Global Text Analytics Market- Size, Industry Analysis, Trends, Growth and Forecast, 2014- 2020,” the global text analytics market has a potential to reach $6.5 billion by 2020, registering a CAGR of 25.2% during 2014-2020. Predictive analytics is the most attractive application within text analytics, which provides insights on unstructured text and helps the companies to formulate business strategies accordingly. Retail sector largely uses text analytics software, which approximately contributes 1/3rd of revenue amongst all industries. Use of Read more…

MongoDB Selected by MyDealerLot to Power Cloud-Based Applications

Sep 17, 2014 |

Sept. 17 — MyDealerLot (MDL), the country’s leading provider of Radio Frequency Identification (RFID) technologies for the retail automotive market, uses MongoDB to power its cloud-based applications. The retail automotive industry has shifted: instead of making money on the front end of the sale, dealers now get paid varying percentages from the manufacturer based on results of Customer Satisfaction Index (CSI) scores. No longer is it sufficient to simply sell a car; today, financial benefit hinges on the customer experience. Read more…

Tresata Releases TREE 3.3

Jun 5, 2014 |

CHARLOTTE, N.C., June 5 — Tresata announced the release of TREE 3.3, its third generation of its most successful software application that has been used by both financial services and retail industry giants to integrate disparate datasets in Hadoop at a segment of one. TREE is the only 100% Hadoop-powered software application that collects, curates and collapses multiple datasets ranging from transactional data, market data, customer service data and social network data and is able to resolve all critical variables to a Read more…

Hadoop Market Expected to Reach 20.9 Billion by 2018

Jan 3, 2014 |

According to a new market report published by Transparency Market Research “Hadoop Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2012- 2018,” the global Hadoop market was worth USD 1.5 billion in 2012 and is expected to reach USD 20.9 billion in 2018, growing at a CAGR of 54.7% from 2012 to 2018.