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Create a Data Project with Neo4j

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Andreas Kretz

1:18:09

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  • 01 - Course introduction and goals.mp4
    00:55
  • 02 - What you should know.mp4
    01:05
  • 03 - Real-world graph database use cases.mp4
    04:14
  • 01 - Neo4j fundamental terminology.mp4
    03:19
  • 02 - CRUD and ACID properties of graph databases.mp4
    02:54
  • 03 - Graph database vs. relational database design.mp4
    02:58
  • 04 - Neo4j query language explained.mp4
    04:18
  • 05 - Neo4j deployment and scaling explained.mp4
    02:46
  • 01 - How to install Neo4j.mp4
    03:44
  • 02 - Neo4j user interface and CLI explained.mp4
    03:05
  • 03 - How to use Python to work with Neo4j.mp4
    03:25
  • 04 - Neo4j security best practices.mp4
    04:20
  • 01 - The data set explained and goals.mp4
    01:52
  • 02 - Modeling data as a relational database.mp4
    03:48
  • 03 - Modeling the Neo4j database.mp4
    02:45
  • 04 - How to bulk import CSV data into Neo4j.mp4
    06:41
  • 05 - How to bulk import relational CSV data into Neo4j.mp4
    03:56
  • 06 - How to write transactions to Neo4j with Python.mp4
    04:56
  • 01 - How to explore Neo4j data with the user interface.mp4
    05:17
  • 02 - How to query Neo4j database with Python.mp4
    05:39
  • 03 - Neo4j query optimization.mp4
    05:03
  • 01 - Next steps.mp4
    01:09
  • Description


    Data is becoming more complex, and graph databases are perfect for storing and representing complex relationships between data. In this course, instructor Andreas Kretz introduces you to Neo4j fundamentals and walks you through creating a data project using Neo4j. Andreas explains terminology and goes over the properties of graph databases and the differences in data modeling between relational and graph databases. He goes over Neo4j query language, as well as deployment and scaling. Andreas shows you how to set up your environment and write data to your data project, then demonstrates how to query the data. He finishes up with a review of what you have learned and suggestions for learning more.

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    Andreas Kretz
    Andreas Kretz
    Instructor's Courses
    Follow for daily Data Engineering content! Teaching you Data Engineering at my Academy and helping companies recruit top engineering talent. Huge network of over 100,000 engineers & scientists + private engineering network of over 500 students through my Data Engineering Academy #dataengineering #dataengineer #datascience #bigdata
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 22
    • duration 1:18:09
    • Release Date 2022/12/11