Building Data-Intensive Applications To Accelerate Enterprise Growth

Large volumes of generated data have been challenging businesses and developers for decades. In 2005, O’Reilly Media coined the phrase “Big Data” for the first time, defining it as “the massive set of data that is impossible to manage using traditional business intelligence tools.” Advanced artificial intelligence (AI) techniques have since evolved to handle both structured and unstructured data. These techniques analyze data to provide valuable insights, enabling powerful business decisions. The rise of data science is specifically transforming web-based application development. Applications in this modern era need to be designed with a strong emphasis on visual appeal, customization capabilities coupled with a simple yet informative user experience.

This guide discusses the best practices around building data-intensive applications that appeal to customers and their powerful ability to help fuel enterprise growth.