Suzhou, Jinghope Plaza

11/F, 11/F, Tower 2, 88 Hua Chi Street, SIP, Suzhou, China, 215021

Situated right in the core of the Suzhou industry zone, The Regus Centre is on the 11th floor of Jinghope Plaza. Jinghope Plaza is a mixed use complex comprising a high-end shopping mall, 5 star hotel and international Grade A office building. It is one of the most prestigious landmarks in the financial center of Suzhou. Advanced facilities and central location attract many Fortune 500 companies such as Nokia, Philips and 3M. Jinghope Plaza has easy access to excellent facilities and amenities in Suzhou. Metro Line 1 Times Square station is just in the basement of the complex. The high-speed train station which provides easy transportation to Shanghai and Nanjing is only a 5 minutes drive from the centre.

Jinhe Plaza

11th Floor, No. 2, 88 Huachi Street, Industrial Park, Suzhou, China, 215021

The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza provides easy access to all major core areas of Suzhou. Metro Line 1 Times Square Station is located on the basement of the building, while the High Speed ​​Rail Station to Shanghai and Nanjing is a 5-minute drive away.

Explore Our Courses

Advanced Elasticsearch and Kibana Administration

 35 Hours
This instructor-led, live training in SuZhou (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.
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Elasticsearch for Developers

 14 Hours
This instructor-led, live training in SuZhou is aimed at software developers who wish to build search and analytics solutions using Elasticsearch. The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application. 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 implementation and progress.
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Implementation and Administration of Elasticsearch

 21 Hours
Audiance Administrators or developers who want to know how to use Elasticsearch.
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Elasticsearch Advanced Administration, Monitoring and Maintenance

 14 Hours
This instructor-led, live training in SuZhou (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.
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ELK: Elasticsearch, Logstash and Kibana for Administrators

 14 Hours
This instructor-led, live training in SuZhou 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.
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Kibana: Essentials

 14 Hours
This training introduces Kibana to the users of Elasticsearch. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
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Testimonials (4)

I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.

Jean Thysse - Quidco

Course - Elasticsearch for Developers

I enjoyed the exercices gives a good insight.

Andreas Kukacka

Course - ELK: Elasticsearch, Logstash and Kibana for Administrators

I genuinely liked learning a new skill.

Aidan Thomas

Course - Implementation and Administration of Elasticsearch

Instance demonstrations, especially those that assist us in on-site demonstrations, are key to establishing the rule engine for the surrender rate alert indicator.

ruoran lin

Course - Elasticsearch Advanced Administration, Monitoring and Maintenance

Machine Translated

Upcoming Courses

Kibana: Essentials

2025-07-01 09:30
14 hours
Jinhe Plaza

Implementation and Administration of Elasticsearch

2025-07-15 09:30
21 hours
Suzhou, Jinghope Plaza

Elasticsearch Advanced Administration, Monitoring and Maintenance

2025-07-29 09:30
14 hours
Jinhe Plaza

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