Once you’re done with mastering all the capabilities of Elasticsearch, it’s time to go one step beyond. This final part of the Elasticsearch 5.x Solutions series dives into the third-party integration aspect of Elasticsearch. Spanning just under 3 hours, it gives you a detailed coverage of how Elasticsearch can be integrated with popular languages such as Python, Java and Scala, as well as shows you how Elasticsearch is integrated with third party tools for efficient Big Data solutions.
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).