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Advancing Big Data Best Practices

Big Data Roles: Analyst, Engineer and Scientist

2024-05-20T04:32:26+02:00October 16th, 2020|Categories: Fundamentals|Tags: |

The most important aspect of Big Data are the people involved. While many organizations have plans to turn their data into value, they sometimes spend too much time on the ‘data’ and not enough time on the ‘people’ side of the equation. In the short period of time that data science is now part of [...]

Introduction to Big Data Architecture

2024-07-02T15:34:06+02:00May 7th, 2019|Categories: Big Data, Fundamentals|Tags: , , |

This post provides an overview of fundamental and essential topic areas pertaining to Big Data architecture. We will start by introducing an overview of the NIST Big Data Reference Architecture (NBDRA), and subsequently cover the basics of distributed storage/processing. Everyone presently studying the domain of Big Data should have a basic understanding of how Big [...]

Analytics, Business Intelligence and Big Data – What’s the difference?

2024-07-02T15:58:51+02:00April 4th, 2019|Categories: Big Data, Fundamentals|Tags: , , |

In the business and scientific domain, most organizations differentiate between four different forms of pattern identification in data sets: Data analysis Analytics Business Intelligence (BI) Big Data Although all four definitions are closely related, there are some subtle differences between the terms that have an impact for the design of Big Data solutions. Data analysis [...]

A short history of Big Data

2025-08-18T08:53:55+02:00March 26th, 2019|Categories: Big Data, Fundamentals|Tags: , |

Enterprise Big Data Framework has joined DASCIN (Data Science Institute). This article now lives (and is updated) on DASCIN →  Where does 'Big Data' come from? The term ‘Big Data’ has been in use since the early 1990s. Although it is not exactly known who first used the term, most people credit John R. Mashey [...]

The Four V’s of Big Data

2024-07-02T16:21:37+02:00March 12th, 2019|Categories: Fundamentals|Tags: , |

What is the difference between regular data analysis and when are we talking about “Big” data? Although the answer to this question cannot be universally determined, there are a number of characteristics that define Big Data. The characteristics of Big Data are commonly referred to as the four Vs: Volume of Big Data [...]

Business Drivers for Big Data

2024-07-03T16:03:51+02:00February 28th, 2019|Categories: Big Data, Fundamentals|Tags: , , |

Big Data emerged in the last decade from a combination of business needs and technology innovations. A number of companies that have Big Data at the core of their strategy have become very successful at the beginning of the 21st century. Famous examples include Apple, Amazon, Facebook and Netflix. A number of Big Data business [...]

How to set up a Big Data Centre of Excellence

2022-03-09T06:59:58+01:00September 21st, 2018|Categories: Big Data, Fundamentals|Tags: , , |

What is a Big Data Centre of Excellence? A Big Data Centre of Excellence (BDCoE) is an enterprise function that takes an organization from zero knowledge to having a fully functional practice of Big Data technologies and processes to deliver robust business results. A BDCoE is where the organization identifies new technologies, learns about [...]

Five ways to capture Value from Big Data

2022-03-09T05:19:03+01:00July 31st, 2018|Categories: Big Data, Fundamentals|Tags: , |

Value of Big Data The primary reason why Big Data has developed rapidly over the last years is because it provides long-term enterprise value. Value is captured both, in terms of immediate social or monetary gain, and in the form of a strategic competitive advantage. Due to its wide range of applications, Big Data [...]

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