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Elasticsearch Query Language the Definitive Guide. A hands-on guide to mastering ESQL for search, observability, and security Bahaaldine Azarmi, Alexis Charveriat, Stephen Brown, Farbod Shirzadian, Alejandro Sanchez

Język publikacji: angielski
Elasticsearch Query Language the Definitive Guide. A hands-on guide to mastering ESQL for search, observability, and security Bahaaldine Azarmi, Alexis Charveriat, Stephen Brown, Farbod Shirzadian, Alejandro Sanchez - okladka książki

Elasticsearch Query Language the Definitive Guide. A hands-on guide to mastering ESQL for search, observability, and security Bahaaldine Azarmi, Alexis Charveriat, Stephen Brown, Farbod Shirzadian, Alejandro Sanchez - okladka książki

Autorzy:
Bahaaldine Azarmi, Alexis Charveriat, Stephen Brown, Farbod Shirzadian, Alejandro Sanchez
Serie wydawnicze:
Hands-on
Ocena:
Built to simplify high-scale data analytics in Elasticsearch, this practical guide will take you from foundational concepts to advanced applications across search, observability, and security. It will help you overcome common challenges such as efficiently querying large datasets, applying advanced analytics without deep prior knowledge, and resolving for a unique and consolidated query language.
Written by senior experts at Elastic with extensive field experience, this book delivers actionable guidance rooted in solving today’s data challenges at scale. After introducing ESQL and its architecture, the chapters explore real-world applications across various domains, including analytics, raw log analysis, observability, and cybersecurity. Advanced topics such as scaling, optimization, and future developments are also covered to help you maximize your ESQL capabilities.
By the end of this book, you’ll be able to leverage ESQL for comprehensive data management and analysis, optimizing your workflows and enhancing your productivity with Elasticsearch.

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O autorze książki

Bahaaldine Azarmi, or Baha for short, is the head of solutions architecture in the EMEA South region at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. He has also worked for a number of different software vendors, including Talend and Oracle, where he held positions as a solutions architect and architect. Prior to Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. He is based in Paris and holds an MSc in computer science from Polytech'Paris.

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