Spanning around 4 hours, this
course dives straight into the core capabilities of Elasticsearch. It
contains practical recipes on the major operations such as searching,
working with text, numeric and geo queries, performing aggregations and
scripting.
About the Author
Alberto Paro is an engineer, project manager, and software
developer. He currently works as freelance trainer/consultant on big
data technologies and NoSQL solutions. He loves to study emerging
solutions and applications mainly related to big data processing, NoSQL,
natural language processing, and neural networks. He began programming
in BASIC on a Sinclair Spectrum when he was eight years old, and to
date, has collected a lot of experience using different operating
systems, applications, and programming languages.
In 2000, he graduated in computer science engineering from
Politecnico di Milano with a thesis on designing multiuser and
multidevice web applications. He assisted professors at the university
for about a year. He then came in contact with The Net Planet Company
and loved their innovative ideas; he started working on knowledge
management solutions and advanced data mining products. In summer 2014,
his company was acquired by a big data technologies company, where he
worked until the end of 2015 mainly using Scala and Python on
state-of-the-art big data software (Spark, Akka, Cassandra, and YARN).
In 2013, he started freelancing as a consultant for big data, machine
learning, Elasticsearch and other NoSQL products. He has created or
helped to develop big data solutions for business intelligence,
financial, and banking companies all over the world. A lot of his time
is spent teaching how to efficiently use big data solutions (mainly
Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and
related technologies (Scala, Akka, and Playframework). He is often
called to present at big data or Scala events. He is an evangelist on
Scala and Scala.js (the transcompiler from Scala to JavaScript).
