Elasticsearch 5.x Solutions Extending Elasticsearch (Udemy.com)

Integrate ElasticSearch with Java, Python, and Scala, and use Plugins to extend its usefulness.

Created by: Packt Publishing

Produced in 2017

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What you will learn

  • Creating a client
  • Managing mapping, indices, and documents
  • Executing a search with aggregation
  • Creating a REST and an ingest plugin
  • Indexing data via Apache Spark

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Quality Score

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Overall Score : 40 / 100

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Course Description

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).
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).Who this course is for:
  • If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the video for you.

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Instructor Details

Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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Reviews

2.0

2 total reviews

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Super bad teaching.

The course doesn't actually explain much about what it is doing and goes very briefly over the source code provided.It almost feels like the course has been rushed and is an overview and not a full course.

Super bad teaching.

The course doesn't actually explain much about what it is doing and goes very briefly over the source code provided.It almost feels like the course has been rushed and is an overview and not a full course.