In the previous chapter on Hadoop, we persisted the data in hand onto Hadoop (HDFS). Reading/querying data from Hadoop at a fast pace is an issue, and that's when an indexed data store such as Elasticsearch and its significance come forth in our Data Lake implementation.
As in other chapters in this part of the book, we will start off the chapter by explaining the layer where this technology will be used. We will then explain the reason for choosing this technology for this capability and start diving deep into Elasticsearch and its working. We will cover enough details on Elasticsearch so that you have adequate details to understand this technology. As always we will only give enough details and full deep dive is beyond the scope of this book.
We would then take you through a hands-on coding session, where you will first learn to install this technology and then...
