Big Data
Large, varied information sets that are expanding at an exponential rate are referred to as big data. It is used to describe high-volume, high-velocity, and/or high-variety information assets that call for creative, cost-effective methods of information processing to improve insight, decision-making, and process automation.
A search engine based on the Lucene library is called Elasticsearch. It offers an HTTP web interface, a distributed, multitenant full-text search engine, and JSON documents without schema.
With the help of Elasticsearch, you can store, search, and analyse massive amounts of data fast and in close to real-time, with results arriving in milliseconds.
ElasticSearch features:
- Elasticsearch is a highly helpful tool for doing efficient and precise searches on websites that store a lot of content. It's hardly surprising that Elasticsearch is making progress in the field of site searches.
- Elasticsearch enables enterprise-wide search for everything you can imagine, including documents, products from online stores, blogs, people, and individuals. In reality, it has gradually supplanted and taken over the search functions of the majority of the well-known websites we visit every day.
- Elasticsearch is frequently used to ingest and analyse log data in a scalable, near-real-time way. Additionally, it offers crucial operational insights on log data that motivate actions.
- The ELK stack is utilised by many businesses to evaluate various KPIs. Data collection across a number of performance criteria that differ depending on the use case may be necessary.
- Security analysis is one of Elasticsearch's key analytics applications. The ELK stack may be used to examine access logs and other logs related to system security, giving you a more complete picture of what's happening across your systems in real-time.
ElasticSearch is the best option for software programmes that significantly rely on search platforms to obtain, retrieve, and report data.