[Data Science Central] BigDataFr recommends: Before you jump in make sure you are planning appropriately

BigDataFr recommends: Before you jump in make sure you are planning appropriately […] For a few years now Big Data has drawn the attention of many firms and CIOs. The rewards are major –new business insights, new customer segments, speed (faster time-to-answer, faster time-to-decision, and faster speed-to-market) to driving operational cost efficiencies and even corporate […]

[arXiv] BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)

BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT) […]Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current […]

[Datasciencecentral] BigDataFr recommends: Data Team for Data Driven Organization

BigDataFr recommends: Data Team for Data Driven Organization A data-driven organization will use the data as critical evidence to help inform and influence strategy. To be data-driven means cultivating a mindset throughout the business to continually use data and analytics to make fact-based business decisions. Becoming a data-driven organization is no longer a choice, but […]

[O’R] BigDataFr recommends: Insightful applications: The next inflection in big data

BigDataFr recommends: Insightful applications: The next inflection in big data […] In previous posts, I wrote about the need for insight generation and provided an example of an insightful application. I maintain that insightful applications are the key to businesses effectively exploiting big data in order to improve decision-making and address important problems. To better […]

[Datasciencecentral] BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights!

BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights! #1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – this is my definition of Big Data; not tera or peta bytes! […]

[arXiv] BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation

BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation […] We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate that can be satisfied. The available resources include (i) a communication network graph with links over […]

[arXiv] BigDataFr recommends: Big Data Analytics = Machine Learning + Cloud Computing #machinelearning

BigDataFr recommends: Big Data Analytics = Machine Learning + Cloud Computing […]In this chapter we review historical aspects of the term « Big Data » and the associated analytics. We augment 3Vs with additional attributes of Big Data to make it more comprehensive and relevant. We show that Big Data is not just 3Vs, but 32 Vs, […]

[Datasciencecentral] BigDataFr recommends: All About Data Science And Big Data #datascientist

BigDataFr recommends: All About Data Science And Big Data Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are […]