Basic and Extended Regular Expressionsのトレーニングコース

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

Elastic Stack (ELK) is a powerful platform for searching, analyzing, and visualizing log data in real-time from multiple sources.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to deepen their ELK expertise for managing distributed log data, automating alerts, and creating advanced visualizations and dashboards.

By the end of this training, participants will be able to:

• Configure advanced ingestion and parsing flows from multiple sources including databases.
• Create customized Kibana dashboards for different teams or use cases.
• Implement email notifications and condition-based alerts.
• Use regular expressions to improve search precision in logs.
• Manage user roles and access rights for secure log environments.
• Interact with the Elasticsearch REST API for automation and integration.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Audience

Administrators or developers who want to know how to use Elasticsearch.

対象者

Elasticsearchを使用したい管理者や開発者。

This instructor-led, live training in 日本 (online or onsite) is aimed at advanced-level professionals who wish to administer, monitor, and maintain Elasticsearch clusters effectively for high performance and availability.

By the end of this training, participants will be able to:

• Deploy and configure Elasticsearch clusters for high availability and performance.
• Monitor and optimize Elasticsearch operations.
• Integrate with Kibana and Logstash for advanced analytics and visualization.
• Extend Elasticsearch functionality with plugins.
• Scale Elasticsearch using clustering and sharding techniques.

このインストラクター主導のライブトレーニング（日本）は、Elasticsearchを使用して検索および分析ソリューションを構築したいと考えているソフトウェア開発者向けです。

トレーニングは、Elasticsearchのアーキテクチャ（分散モデルと検索APIを含む）についての議論から始まります。その後、Elasticsearchの機能と既存のアプリケーションに最適に統合する方法について説明します。

実践的な演習はトレーニングの重要な部分を占めており、参加者はフィードバックを受けながら知識を活用する機会を得られます。

This instructor-led, live training in 日本 is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

このトレーニングでは、Elasticsearchのユーザー向けにKibanaを紹介します。

Kibanaは、Elasticsearchと連携するオープンソースの分析および可視化プラットフォームです。Kibanaを使用して、Elasticsearchインデックスに保存されているデータを検索、表示、操作することができます。さまざまなチャート、テーブル、マップで高度なデータ分析を簡単に実行し、データを可視化できます。

Kibanaは大量のデータを理解するのに役立ちます。シンプルでブラウザベースのインターフェースにより、動的なダッシュボードを作成して共有でき、Elasticsearchクエリの変更をリアルタイムで表示します。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、開発者や管理者を対象としており、統合されたセキュアなシステムで分散検索とデータ分析を行うためのOpenSearchの使用方法を学びます。

本トレーニング終了時には、参加者は以下のことが可能です：

• OpenSearchとOpenSearch Dashboardsを使用して検索および分析ソリューションの開発環境を設定します。
• Elasticsearch OSSからOpenSearchへの移行方法（スナップショット、再起動、ローリングアップグレード）の3つのアプローチを理解します。
• OpenSearchでデータのインデックス化、データストリーム作成、クエリ実行、およびクラスタ間操作の効率化方法を学びます。
• プラグイン、API、クライアント、取り込みツール（Beats, Logstash, Grafanaなど）を使用して検索体験を最適化しながらクラスタのセキュリティを維持する方法を探ります。
• OpenSearch Dashboardsを使用してデータ管理、可視化、ログ、監視、およびメンテナンスを一元化します。

OpenSearch is an open-source search and analytics suite derived from Elasticsearch 7.10 and Kibana 7.10, originally developed by AWS to maintain a fully open alternative after licensing changes by Elastic NV.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and architects who wish to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics workloads, while understanding its relationship with AWS OpenSearch Service.

By the end of this training, participants will be able to:

• Understand the architecture, components, and capabilities of OpenSearch and its dashboards.
• Deploy and configure OpenSearch clusters on-premises and in the cloud.
• Integrate OpenSearch with AWS OpenSearch Service and other enterprise data systems.
• Optimize performance, security, and scalability for production-grade deployments.

Format of the Course

• Instructor explanations combined with live demonstrations.
• Hands-on labs and real-world configuration exercises.
• Collaborative discussions focused on troubleshooting and best practices.

Course Customization Options

• To tailor the content or focus of this OpenSearch training to your organization’s specific needs, please reach out to arrange a customized session.

OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service.

By the end of this training, participants will be able to:

• Design and deploy highly scalable OpenSearch clusters across multiple environments.
• Optimize indexing, search, and storage for performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments.
• Implement observability, high availability, and automated recovery strategies.

Format of the Course

• Instructor-led theory sessions with guided discussions.
• Extensive hands-on exercises simulating real-world scaling challenges.
• Practical lab work on distributed deployment and performance tuning.

Course Customization Options

• This course can be adapted to emphasize your organization’s data size, performance goals, and deployment environment.

This course introduces students to the Solr platform. Through a combination of lecture, discussion and labs students will gain hands on experience configuring effective search and indexing.

The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators

The course is intended for IT specialist that want to implement a solution that allows for elastic and efficient searching of big data sources. This course uses the newest stable version of Solr, if you wish to use older or unstable version, please contact sales before booking.