Member-only story
Big Data, Big Problems: How to Handle the Scale and Complexity of Modern Data Sets
Introduction
The sheer volume of data created and consumed around the world is predicted to rapidly increase over the coming years, reaching a staggering 180 zettabytes by 2025.Organizations are struggling to effectively manage and extract valuable insights from the vast amount of data that’s being generated these days, be it from sensors, social media, or transactional systems.
This article aims to address the challenges of handling and analyzing large and complex data sets. It discusses various techniques and tools that can be used to manage the scale and complexity of big data. The article also covers common problems that organizations face when working with big data and provides an overview of the latest trends and developments in big data technology.
The challenges of handling large and complex data sets
The challenges of storing and retrieving large and complex datasets is intrinsically linked to the 4Vs of Big Data: Volume, Variety, Velocity, and Veracity.
- Volume: The sheer size of data sets can strain the storage and processing capabilities of traditional databases. Relational databases face two major challenges: scalability and elasticity. Scaling a…
