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1
Introduction
2
Single Store
3
Unique Features
4
Installing Spark
5
Creating Spark Session
6
Connecting to Single Store
7
Configuration Parameters
8
Spark Data Frame
9
Write Data Frame to Single Store
10
Python Client
11
Insert Statements
12
Builtin Functions
13
Creating another Iris Table
14
Creating a Single Database
15
Predicting Species
16
WebAssembly
17
Sentiment Table
Description:
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.

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

Open Data Science
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