Advanced Elasticsearch 7.0

Dive deep into the advanced capabilities of Elasticsearch 7.0 with this expert-level guide. In this book, you will explore the most effective techniques and tools for building, indexing, and querying advanced distributed search engines. Whether optimizing performance, scaling applications, or integrating with big data analytics, this guide empowers you with practical skills and insights.

What this Book will help me do

• Master ingestion pipelines and preprocess documents for faster and more efficient indexing.
• Model search data optimally for complex and varied real-world applications.
• Perform exploratory data analyses using Elasticsearch's robust features.
• Integrate Elasticsearch with modern analytics platforms like Kibana and Logstash.
• Leverage Elasticsearch with Apache Spark and machine learning libraries for real-time advanced analytics.

Author(s)

None Wong is a seasoned Elasticsearch expert with years of real-world experience developing enterprise-grade search and analytics systems. With a passion for innovation and teaching, Wong enjoys breaking down complex technical concepts into digestible learning experiences. His work reflects a pragmatic and results-driven approach to teaching Elasticsearch.

Who is it for?

This book is ideal for Elasticsearch developers and data engineers with some prior experience who are looking to elevate their skills to an advanced level. It suits professionals seeking to enhance their expertise in building scalable search and analytics solutions. If you aim to master sophisticated Elasticsearch operations and real-time integrations, this book is tailored for you.