To be analyzed, Data needs certain qualities according to their intended purpose, i.e. validity, consistency and completeness. Data Management creates and maintains these qualities.
Choosing the right infrastructure to extract insights from big data is key in the process of data management. The multitude of data (structured, unstructured and semi-structured) makes it difficult to select and employ the most suitable tool. The Variety, Velocity, Veracity and Volume (4 V`s) of Big Data has to be taken into account while deciding on the data analysis framework.
We present the recent challenges of this topic and the most important processing systems as well as institutions and platforms. Our collection of related sources helps to delve further into the topic.