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This document discusses approximate query processing using sampling to enable interactive queries over large datasets. It describes BlinkDB, a framework that creates and maintains samples from underlying data to return fast, approximate query answers with error bars. BlinkDB verifies the correctness of the error bars it returns by periodically replacing samples and using diagnostics to check the a
ElastAlert - Easy & Flexible Alerting With Elasticsearch¶ ElastAlert is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch. At Yelp, we use Elasticsearch, Logstash and Kibana for managing our ever increasing amount of data and logs. Kibana is great for visualizing and querying data, but we quickly realized that it needed a companion tool
Cet article est aussi disponible en 🇫🇷 Français : Quel client PHP pour Elasticsearch. Update november, 26: some days after publishing this article, we got some very good feedback, especially on the benchmark part. The SearchSuggestion slowness of Elastica disappeared, and elasticsearch-php got some configuration and code love by Zachary Tong, improving its performances (Guzzle and systematic pin
A modest comparison between two ways of storing our unstructured data, from MongoDB to Elasticsearch. Introduction Historically, a significant part of QuarksLab's activity is composed of reverse engineering, malware analysis and offensive pentesting. But these occupations lead use to develop some nice tools we trust can be of a great use for any company willing to improve its own knowledge rather
The document summarizes a benchmarking study conducted by Altoros Systems to compare the performance of Couchbase Server, MongoDB, and Cassandra. It outlines the benchmark goals of having a reproducible workload, using a realistic scenario, and comparing latency and throughput. It describes the benchmarking tools, scenario details involving data size, operations, and hardware configuration. Config
The Loggly service utilizes Elasticsearch (ES) as the search engine underneath a lot of our core functionality. As Jon Gifford explained in his recent post on Elasticsearch vs Solr, log management imposes some tough requirements on search technology. To boil it down, it must be able to: Reliably perform near real-time indexing at huge scale – in our case, more than 100,000 log events per second Si
1. 2013 © Trivadis BASEL BERN BRUGG LAUSANNE ZUERICH DUESSELDORF FRANKFURT A.M. FREIBURG I.BR. HAMBURG MUNICH STUTTGART VIENNA 2013 © Trivadis Echtzeitverarbeitung von Twitter Streams mit Oracle Event Processing (OEP) 12c Guido Schmutz DOAG Konferenz 2014 19.11.2014 – 15:00 Raum Kiev 19.11.2014 Processing Twitter Stream with Oracle Event Processing (OEP) 1 2. 2013 © Trivadis Guido Schmutz • Worki
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