課程介紹

Do you want to learn the popular search engine, Elasticsearch, from the beginning and become a professional in no time? This course is an excellent way for you to quickly learn Elasticsearch and to put your knowledge to work in just a few hours! If s

…[更多細節]

哪些人適合這堂課？

• Developers who want to learn Elasticsearch. The course is intended for developers and not system administrators.

學習目標

• How to build a powerful search engine with Elasticsearch
• The theory of Elasticsearch and how it works under-the-hood
• Write complex search queries
• Be proficient with the concepts and terminology of Elasticsearch

課程介紹

LAST UPDATED: November 2020 – Elasticsearch Version 6

Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it’s the Hadoop killer!

It’s just now beginning to gain recognition and wider adoption in the

…[更多細節]

哪些人適合這堂課？

• Anyone who wants to learn how to build a search engine using Elasticsearch 6.0

學習目標

• Build an Elasticsearch 6 cluster from scratch
• Perform various searches using the query DSL
• Perform powerful realtime analytics using the Aggregations DSL
• Combine Filters, Queries and Aggregations and understand document relevancy and searching

課程介紹

New for 2020! We’ve teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we’ve seen. Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of mi

…[更多細節]

哪些人適合這堂課？

• Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.

學習目標

• Install and configure Elasticsearch 7 on a cluster
• Create search indices and mappings
• Search full-text and structured data in several different ways
• Import data into Elasticsearch using several different techniques
• Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
• Aggregate structured data using buckets and metrics
• Use Logstash and the “ELK stack” to import streaming log data into Elasticsearch
• Use Filebeats and the Elastic Stack to import streaming data at scale
• Analyze and visualize data in Elasticsearch using Kibana
• Manage operations on production Elasticsearch clusters
• Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud

課程介紹

New for 2020! We’ve teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we’ve seen. Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of mi

…[更多細節]

哪些人適合這堂課？

• Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.

學習目標

• Install and configure Elasticsearch 7 on a cluster
• Create search indices and mappings
• Search full-text and structured data in several different ways
• Import data into Elasticsearch using several different techniques
• Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
• Aggregate structured data using buckets and metrics
• Use Logstash and the “ELK stack” to import streaming log data into Elasticsearch
• Use Filebeats and the Elastic Stack to import streaming data at scale
• Analyze and visualize data in Elasticsearch using Kibana
• Manage operations on production Elasticsearch clusters
• Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud

課程介紹

In the recent years – the term BigData has been gaining popularity as well and there has been a paradigm shift is the volume of information and the ways in which it can be extracted from this data. 

ELK is one of the few new-age frameworks which is

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哪些人適合這堂課？

• Developers and IT Engineers
• Tech Founders and Co-Founders (Technical or Non-Technical)
• Mobile and Web App Developers
• IT Administrators
• Software Architects

學習目標

• Understand the features and utility of ElasticSearch
• Understand the basic concepts about Big Data
• Install, configure and administer ElasticSearch cluster

課程介紹

Congratulations! You’ve found the most popular, most complete, and most up-to-date resource online for learning Elasticsearch.

Are you interested in the field of Elasticsearch | Big data? Are you interested to play around huge data ? Then this cours

…[更多細節]

哪些人適合這堂課？

• Developers who want to learn Elasticsearch. The course is intended for developers and not system administrators

學習目標

• Understanding the core principles of Elasticsearch and Apache lucene
• Secret behind the elasticsearch fast and how it works under the hood
• Get in-depth understanding on searching in elasticsearch
• Perform realtime analytics on the huge data and visualise them in Elasticsearch using Kibana
• Processing the data by help of Logstash from numerous sources and to several destinations

課程介紹

Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing/BI technology.

This course will help you use the power of ES in both contexts

ES as search engine technology:

How sea

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哪些人適合這堂課？

• Developers looking to add robust enterprise search functionality
• Business analysts looking to use ES and Kibana for business intelligence
• Data professionals looking to use the ElasticSearch search engine

學習目標

• Construct robust, scalable search for production use in web and enterprise apps
• Query ES using the ES Domain Specific Language
• Perform aggregations to extract insights and run analytics on ES
• Interface with ES using Python

課程介紹

*** Course Updated for Elasticsearch 2.0+ ***

———————————————————————————————————–

Do you want to become an Elasticsearch Jedi?

Are you a Developer who wants to be familiar wit

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哪些人適合這堂課？

• Elasticsearch in Action course is for everyone with motivation to learn Elasticsearch. The only skill you will need is a basic understanding of relational databases. No computer science degree, or a programming knowledge is needed.

學習目標

• Do create, read, update and delete operations on Elasticsearch
• Have a good understanding of searching and sorting documents in Elasticsearch
• Know how mapping and analyzers work and learn how to use them effectively
• Become an Elasticsearch jedi

課程介紹

Current discount code: LOG_NANA_AUGUST2021

You will learn how to:

set up a Kubernetes cluster from scratch

configure fully functioning logging in Kubernetes cluster with EFK Stack

With following steps:

configure Java and NodeJS applications t

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哪些人適合這堂課？

• DevOps engineers
• Software developers
• System administrators
• People, who want to setup logging in their K8s cluster
• People, who want to learn how Elastic/EFK stack works in Kubernetes
• People, who want to learn how to deploy and configure applications in K8s cluster

學習目標

• Set up logging in Kubernetes
• Create Kubernetes cluster from scratch
• ElasticSearch, Kibana, FluentD
• Set up Docker private repository
• StatefulSet, DaemonSet, Helm
• Build, tag, push Docker images to private repository

課程介紹

Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It’s an increasingly popular technology, and a valuable skill to have in today’s job market. If you’re a

…[更多細節]

哪些人適合這堂課？

• This learning path is for developers, architects, data professionals, and system administrators who want to add Elasticsearch to their toolchest for searching, analyzing, and visualizing data sets.

學習目標

• Install and configure Elasticsearch on a cluster
• Develop an understanding of Elasticsearch dichotomy, Elasticsearch APIs, and how to interact with a cluster via API
• Dive deeper into Elasticsearch interactions with filers, ranges, matches along with aggregations
• Probe Elastic Stack and use Kibana, Logstash and filebeats, to develop a pipeline to get data from an external source into Elasticsearch
• Build an Elasticsearch application
• Learn how to use Kibana to visualize data and tell data stories in real-time
• Learn the skills required to instantly search petabytes of data and provide amazing customer interactions
• Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations