Understanding the different roles in Big Data Organizations 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 [...]
The Enterprise Big Data Framework would like to invite you for the official launch of the Enterprise Big Data Analyst (EBDA) certification on Friday, November 1st. The EBDA certification is the second level of the Big Data Framework. Since the launch of the Enterprise Big Data Framework in 2018, more than 1000 people have been [...]
What is Big Data Architecture? 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. The chapter will end with an overview of the Hadoop open source [...]
Bonn, Germany. We are happy to share with the Big Data Framework community that the Enterprise Big Data Professional guide - which contains the the content that is tested in the Enterprise Big Data Professional certification - is now available in simplified Chinese. The translation has been made by Chieh Wu from our accredited training partner [...]
The difference between Analytics, Business Intelligence and Big Data 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 [...]
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 (who at the time worked at Silicon Graphics) for making the term popular. In its true essence, Big Data is not [...]
The 4 Characteristics of Big Data 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 [...]
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 business drivers are at [...]
What is Big Data? Big Data and its analysis techniques are at the centre of modern science and business. Every day, millions of transactions, emails, photos, video files, posts and search queries are generated that result in zettabytes of data. All that data is stored in databases on various places across the planet. All that data [...]
In computer science, a data structure is a particular way of organising and storing data in a computer such that it can be accessed and modified efficiently. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. Three different [...]
