MarkLogic Corporation, a leading operational and transactional Enterprise NoSQL database provider, announced that Mitchell 1® is exceeding sales and market share expectations after transforming its business from information publisher to content provider with help from the MarkLogic® database.
In this special guest feature, Tim Barker, CEO of DataSift Inc., highlights the predictive power of using Facebook topic data as a data source for gaining business insights.
TalkingData, the leading Big Data and analytics company in China, is launching its “Global Data Science Competition” beginning today, July 11, 2016 and ending September 5, 2016.
Continuum Analytics Unveils Anaconda Mosaic to Make Enterprise Data Transformations Portable for Heterogeneous Data
Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, announced the availability of Anaconda Mosaic.
In this special technology white paper, Cask Hydrator – Self-Service Data Lakes on Hadoop, you’ll learn about an exciting new tool for data science projects – Cask Hydrator, a self-service, reconfigurable, extendable open source framework to visually develop, run, automate, and operate data pipelines.
Keen IO, a leader in cloud analytics, announced the availability of Native Analytics, a complete solution for customers to white-label the real-time analytics and advanced visualizations of Keen into their own products and services.
ClearDB, a pioneer in enterprise cloud database technologies, introduced its end-to-end Data Services Platform, a cornerstone that supports the company’s vision to change the way databases are consumed.
IBM (NYSE: IBM) and Cisco (NYSE: CSCO) announced they will partner to combine the market-leading strengths of each company to transform how knowledge-workers collaborate and work. The companies will form a suite of cloud-based workplace tools and applications infused with IBM Watson.
In the compelling keynote address below, Josh Wills, Director of Data Engineering at Slack, discusses an all-too-common theme these days: “Data Engineering and Data Science: Bridging the Gap.”
IBM (NYSE:IBM) today announced the first cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers.