GridDB 101: Chapter 1 -- Key Container Data Model

[Course Descriptions]

This GridDB Basic course will teach you how to efficiently store your IoT data with a Time Series Database such as GridDB. You will learn how to install, operate, and connect GridDB to create a data pipeline for your IoT sytem.

[What you'll learn]

- Learn about GridDB and how GridDB architecture is optimized for storing IoT and time series data
- Learn the difference between GridDB and other databases
- Learn how to perform CRUD operations with GridDB
- Understand how to use GridDB functions
- Understand how to create data pipeline with GridDB and other open source softwares

[Requirements]

- No prior knowledge on database is required
- Basic knowledge on running Linux and Docker

[Who this course is for]

- Data scientists
- IoT system developers
- Any users who want to learn about IoT and Time Series Database

[Course Structure]

Chapter 1:
- GridDB Course Overview
- What is GridDB
- Key Container Data Model
- Performance
- Accessing GridDB

Chapter 2:
- How to use GridDB in Ubuntu and Docker
- Using GridDB Sandbox via GridDB Web Shell
- Accessing GridDB via SQL Workbench/J

Chapter 3:
- GridDB Data Model
- Import existing data with GridDB Import/Export Tool
- Import data with GridDB Node.js client
- Export data for major version upgrade
- Basic CRUD operations
- GridDB Client: Java, JDBC, Python, Web API

Chapter 4:
- Time series queries in GridDB
- Data retention function
- Index & Partitioning basic

Chapter 5:
- Real time data pipeline: GridDB, Kafka and Grafana
- Batch data pipeline: GridDB, Apache Nifi and Zeppelin
- Ad-hoc data analysis with Jupyter Notebook

[Appendix]
- GridDB Developers Website: https://griddb.net/en/
- GridDBnet GitHub Page: https://github.com/griddbnet
- GridDB GitHub Page: https://github.com/griddb