Start Learning Big Data

Explore these Big Data tutorials and master the different technologies of Big Data. Choose where to begin, learn at your own pace:

Hadoop Tutorial Series

Spark Tutorial Series

Flink Tutorial Series

Kafka Tutorial Series

Hadoop Tutorials - Learn Hadoop
Spark Tutorials - Learn Spark

Exploring the Big Data world

Let’s take a look at some facts about Big Data and its philosophies.

What is Big Data?

Big Data is the data which cannot be managed by using traditional databases. Here is Gartner’s definition: The Data sets with huge volume, generated in different varieties with high velocity is termed as Big Data. These are considered as 3 Vs of Big Data.

These humongous volumes of data can be used to generate advanced patterns & address business problems you wouldn’t have been able to handle earlier.

History of Big Data

Roger Magoulas, in 2005, coined the term ‘Big Data’. In the same year, the development of Hadoop started. It is an open-source framework that could process both structured and unstructured data. This was built on top of Google’s MapReduce and crafted by Yahoo!. Today, the term Big Data pertains to the study and applications of data sets too complex for traditional data processing software to handle. This concept faces challenges in capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source.


Big Data Roger Magoulas

Roger Magoulas