of data sets so large and complex that it becomes diﬃcult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage,  search, sharing, transfer, analysis, and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to "spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traﬃc conditions."
Scripting Engine (NSE) we discovered an amazing number of open embedded devices on the Internet. Many of them are based on Linux and allow login to standard BusyBox with empty or default credentials. We used these devices to build a distributed port scanner to scan all IPv4 addresses. These scans include service probes for the most common ports, ICMP ping, reverse DNS and SYN scans. We analyzed some of the data to get an estimation of the IP address usage.
logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). Speaking of searching, logstash comes with a web interface for searching and drilling into all of your logs. *UJTGVMMZGSFFBOEGVMMZPQFOTPVSDF
interface to Logstash and ElasticSearch. Once you have those in place, Kibana is a breeze to install and conﬁgure (really, I swear). And as you'll see below, none too hard to operate. Check out the screenshots for an idea of what Kibana is all about.