Rapid advancements in the technology landscape have resulted in a massive increase in the volumes of data, making effective data management and analytics an essential prerequisite for businesses today. Acknowledging the immense potential of data management to generate actionable insights, companies began to integrate data lake technologies within the data management systems which enable them to run different types of data analytics to facilitate decision making. However, majority of the data lakes hardly come into the mainstream because of ongoing data lake management and enablement challenges. Most of the data lake installations fail to keep pace with the business requirements and learning curve issues in the long run owing to challenges in handling spread of the data coming from various sources and security issues. Moreover, creating an analytics ready layer by synchronizing the data from different sources arriving at different frequency is a tiresome task.

Effective Management of Data Lakes
Perfectly understanding the problems of businesses in implementing data lakes, Scalable DataTech, a Technology Consulting and Services Company specializing in Big Data, Data Science, Analytics and Visualization, came forward to address them with a comprehensive suite of solutions in an iterative and value driven fashion. The company provides foolproof solutions helping businesses address various issues like data spread handling, performance, real time data capturing and security in the data lakes. "According to a report by Gartner, almost 75% of the data lakes never come into the mainstream due to ongoing data lake management and enablement challenges. We have created accelerators to handle various scenarios in the data lakes and synchronise data from various sources, helping businesses increase their productivity by generating actionable data insights. We bring together both structured and