Real-Time Analytics and Built-In Machine Learning Models With a Single Database

Explore real-time analytics and built-in machine learning models using a single database in this 55-minute webinar from Open Data Science. Discover the concept of HTAP (Hybrid Transactional/Analytical Processing) or universal storage and learn how selecting the right database can impact analytics and AI/ML models. Participate in a live demonstration showcasing essential tools for model building, engage in hands-on coding to enhance SQL skills, and take part in an open mic session to address questions. Gain insights into serving instant ads, running AI and ML models at sub-second speeds, and delivering real-time experiences crucial for businesses to maintain a competitive edge.

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