As technology advances and applications for the Internet of Things (IoT) continue to expand, industrial and manufacturing companies are embedding more digital systems into their operations. From smart factories and intelligent shipping to automation and 3D printing, Industry 5.0 has arrived.
Honeycomb is known for its incredibly fast performance: you can sift through billions of rows, comparing high-cardinality data across thousands of fields, and get fast answers to your queries. And none of that is possible without our purpose-built distributed column store. This post is an introduction to what a distributed column store is, how it functions, and why a distributed column store is a fundamental requirement for achieving observability.
If you are a candidate looking for your next role that involves an in-depth knowledge of Elasticsearch and the wider Elastic Stack then you will want to revise beforehand. In this resource guide on the top ELK interview questions, we've listed all of the leading questions that candidates are commonly asked about Elasticsearch, Logstash & Kibana (and their contemporary tools and plugins) alongside the answers. Want to improve your knowledge further?