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Skip the Ph.D and Learn Spark, Data Science Salary Survey Says

Nov 4, 2015 |

Prospective data scientists can boost their salary more by learning Apache Spark and its tied-at-the-hip language Scala than obtaining a Ph.D., a recent data science survey by O’Reilly suggests. In its 2015 Data Science Salary Survey, O’Reilly found strong correlations between those who used Apache Spark and Scala, and those who were paid more money. In one of its models, using Spark added more than $11,000 to the median salary, while Scala had about a $4,000 impact to the bottom Read more…

How Better Data Empowers This Medical Billing Company

Aug 13, 2015 |

MediGain is a Texas-based revenue lifecycle management company serving the medical sector. Several years ago, it employed nearly 20 full-time positions to generate monthly reports for its clients. The process was tedious, time-consuming, and error-prone, and the data was nearly stale by the time it reached the clients. Its leadership knew there had to be a better way, and there was. MediGain provides back-office billing for midsize doctor’s groups, such as dermatology and oncology offices, and some small hospital networks. Read more…

Three Ways Zoomdata Makes Big Data Pop

Aug 11, 2015 |

When it comes to big data visualization tools, there’s no shortage of players. Tableau, Qlik, Spotfire, and Microstrategy are established incumbents with big followings. But there’s a fresh crop of visualization tools making waves, including one from Zoomdata that’s helping to change how we think about big data analysis. Here are three ways that Zoomdata is helping to change the field of big data analytics and visualization: 1. Micro Queries and Data Sharpening Zoomdata’s flagship analytics and visualization tool embraces Read more…

Apache Drill Poised to Crack Tough Data Challenges

May 19, 2015 |

It’s been three years in the making, and today the Apache Drill project announced that version 1 of the eponymous tool is ready for business. MapR Technologies, which develops Hadoop and NoSQL database software, wasted no time adding it to its software stack, and declaring war on fixed schemas everywhere. Apache Drill is revolutionary in the way it allows users to explore, visualize, and query large and diverse data sets, particularly semi-structured data generated on the Web and via machines. Read more…

AtScale Claims to Mask Hadoop Complexity for OLAP-Style BI

Apr 7, 2015 |

AtScale came out of stealth mode today with new software designed to trick business intelligence tools into thinking that Hadoop is a standard database upon which they can perform OLAP-style analysis, as opposed to the huge distributed file system that it really is. Business intelligence tools like Tableau, Qlik, TIBCO Spotfire, and Microstrategy weren’t designed with Hadoop in mind, but they’re commonly used to analyze data stored in HDFS just the same. In response to this demand, the Hadoop community Read more…

News In Brief

Kyvos Debuts OLAP for Hadoop

Jun 30, 2015 |

Many technology pros view OLAP as a legacy technology, a holdover from the days of data warehousing that doesn’t have a place in today’s big data world. But several startups are fighting to change that perception, including Kyvos Insights, which today unveiled its OLAP-on-Hadoop solution. Twenty years ago, online analytical processing (OLAP) was the center of many enterprise data warehouse (EDW) initiatives. The technology, which is largely synonymous with the term “multi-dimensional database,” gave organizations a way to pre-index and Read more…

Arcadia Emerges with Visual Analytics Running Directly On Hadoop

Jun 9, 2015 |

Arcadia Data today emerged from stealth mode by announcing $11.5 million in Series A funding and the limited availability of its flagship product: a Web-based visual analytics tool served directly from Hadoop. In Hadoop, most visualization and BI tools work by sending SQL queries to data stored in HDFS and then moving the results over the network to a separate box that drives the analytics and visualizations. While this works, it introduces limitations in the amount of data that can Read more…

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