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Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana Saurabh Chhajed

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana Saurabh Chhajed - okladka książki

Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana Saurabh Chhajed - okladka książki

Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana Saurabh Chhajed - audiobook MP3

Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana Saurabh Chhajed - audiobook CD

Autor:
Saurabh Chhajed
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Bądź pierwszym, który oceni tę książkę
Stron:
206
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The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.
This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack.
Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps.
Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.

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O autorze książki

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at https://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.

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