Overview
This course focuses on real-time analytics and utilizing built-in machine learning models within a single database. By the end of the session, learners will understand the concept of HTAP (Hybrid Transactional/Analytical Processing) and its impact on analytics and AI/ML models. They will also gain hands-on experience in model building, SQL knowledge enhancement, and have the opportunity to interact during a Q&A session. The teaching method includes presentations, live demonstrations, coding exercises, and interactive discussions. This course is intended for individuals interested in enhancing their knowledge of real-time analytics, machine learning models, and database technologies.
Syllabus
Introduction
Single Store
Unique Features
Installing Spark
Creating Spark Session
Connecting to Single Store
Configuration Parameters
Spark Data Frame
Write Data Frame to Single Store
Python Client
Insert Statements
Builtin Functions
Creating another Iris Table
Creating a Single Database
Predicting Species
WebAssembly
Sentiment Table
Taught by
Open Data Science