Piotrków Trybunalski

Hotel AGAT, Wojska Polskiego 118, Piotrków Trybunalski, Poland, 97 - 300

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Beyond the Relational Database: Neo4j

21 Hours
In this instructor-led, live hands-on training in Piotrków Trybunalski, we will set up a live project and put into practice the skills to model, manage and access your data using neo4j. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure.
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Building Graph Databases with Neo4j AuraDB

14 Hours
This instructor-led, live training in Piotrków Trybunalski (online or onsite) is aimed at developers who wish to use Neo4j AuraDB graph database to build cloud applications with high availability and zero administration. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing graph database applications with Neo4j AuraDB.
  • Understand the features, core concepts, and architecture of Neo4j AuraDB.
  • Learn how to build and scale graph database applications in the cloud.
  • Enhance cloud security with AuraDB's pre-configured authentication and encryption features.
  • Migrate existing Neo4j databases to AuraDB.
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Wprowadzenie do Neo4j - grafowej bazy danych

7 Hours
Neo4j is an innovative graph database that is based on a graph data structure, which means that data is stored in the form of nodes, relationships and properties. Neo4j has been used in many areas where relationships between data are crucial. As a graph database, it is used in cases where traditional relational databases may be insufficient to effectively analyze and extract information from related data. Its strength lies in representing and analyzing the relationships between different data elements, which makes it an important tool in the field of data analysis and knowledge management.
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ćwiczenia i sposób ich tłumaczenia

Marcin Lipiec - Izba Administracji Skarbowej w Rzeszowie
Course - Wprowadzenie do Neo4j - grafowej bazy danych

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