In this section, let us explore where we stand and the current state of things with respect to the Data Lake and explore how the evolving enterprise landscape could potentially use Data Lake to enhance their competitiveness.
As I write this book, I evidenced that the usage of Data Lake was being adopted quickly. The know-how about new features, use cases, and new systems that are integrated with the Data Lake are being pushed into the public domain by a variety of industries and researchers at regular intervals. These developments would have tremendous impact on the way the architecture of the Data Lake evolves over time.
In the current scheme of things, Data Lake implementations across enterprises are dominated by Hadoop being predominantly used as a technology of choice for storing huge volumes of data and running algorithms in batch mode using the MapReduce paradigm. Hadoop has become a go-to tool for integrating and extracting better insights by combining...
