In this chapter, we started off by understanding the motivations of alternate search and analytics technologies other than relational databases and NoSQL stores. We looked at the strengths of Elasticsearch, which is at the heart of Elastic Stack. We then looked at the rest of the components of Elastic Stack and how they fit into the ecosystem. We also looked at real-world use cases of Elastic Stack. We have successfully downloaded and installed Elasticsearch and Kibana to begin the journey of learning about Elastic Stack.
In the next chapter, we will understand the core concepts of Elasticsearch. We will learn about indexes, types, shards, data types, mappings, and other fundamentals. We will also interact with Elasticsearch by using CRUD (Create, Read, Update, and Delete) operations, and learn the basics of search.
