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Serverless Machine Learning with Amazon Redshift ML

You're reading from   Serverless Machine Learning with Amazon Redshift ML Create, train, and deploy machine learning models using familiar SQL commands

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781804619285
Length 290 pages
Edition 1st Edition
Languages
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Authors (4):
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Phil Bates Phil Bates
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Phil Bates
Sumeet Joshi Sumeet Joshi
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Sumeet Joshi
Debu Panda Debu Panda
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Debu Panda
Bhanu Pittampally Bhanu Pittampally
Author Profile Icon Bhanu Pittampally
Bhanu Pittampally
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Redshift Overview: Getting Started with Redshift Serverless and an Introduction to Machine Learning
2. Chapter 1: Introduction to Amazon Redshift Serverless FREE CHAPTER 3. Chapter 2: Data Loading and Analytics on Redshift Serverless 4. Chapter 3: Applying Machine Learning in Your Data Warehouse 5. Part 2:Getting Started with Redshift ML
6. Chapter 4: Leveraging Amazon Redshift ML 7. Chapter 5: Building Your First Machine Learning Model 8. Chapter 6: Building Classification Models 9. Chapter 7: Building Regression Models 10. Chapter 8: Building Unsupervised Models with K-Means Clustering 11. Part 3:Deploying Models with Redshift ML
12. Chapter 9: Deep Learning with Redshift ML 13. Chapter 10: Creating a Custom ML Model with XGBoost 14. Chapter 11: Bringing Your Own Models for Database Inference 15. Chapter 12: Time-Series Forecasting in Your Data Warehouse 16. Chapter 13: Operationalizing and Optimizing Amazon Redshift ML Models 17. Index 18. Other Books You May Enjoy

What is Amazon Redshift?

Organizations churn out vast troves of customer data along with insights into these customers’ interactions with the business. This data gets funneled into various applications and stashed away in disconnected systems. A conundrum arises when attempting to decipher these data silos – a formidable challenge that hampers the derivation of meaningful insights essential for organizational clarity. Adding to this complexity, security and performance considerations typically muzzle business analysts from accessing data within OLTP systems.

The hiccup is that intricate analytical queries weigh down OLTP databases, casting a shadow over their core operations. Here, the solution is the data warehouse, which is a central hub of curated data, used by business analysts and data scientists to make informed decisions by employing the business intelligence and machine learning tools at their disposal. These users make use of Structured Query Language (SQL) to derive insights from this data trove. From operational systems, application logs, and social media streams to the influx of IoT device-generated data, customers channel structured and semi-structured data into organizations’ data warehouses, as depicted in Figure 1.1, showcasing the classic architecture of a conventional data warehouse.

Figure 1.1 – Data warehouse

Figure 1.1 – Data warehouse

Here’s where Amazon Redshift Serverless comes in. It’s a key option within Amazon Redshift, a well-managed cloud data warehouse offered by Amazon Web Services (AWS). With cloud-based ease, Amazon Redshift Serverless lets you set up your data storage without infrastructure hassles or cost worries. You pay based on what you use for compute and storage.

Amazon Redshift Serverless goes beyond convenience, propelling modern data applications that seamlessly connect to the data lake. Enter the data lake – a structure that gathers all data strands under one roof, providing limitless space to store data at any scale, cost-effectively. Alongside other data repositories such as data warehouses, data lakes redefine how organizations handle data. And this is where it all comes together – the following diagram shows how Amazon Redshift Serverless injects SQL-powered queries into the data lake, driving a dynamic data flow:

Figure 1.2 – Data lake and data warehouse

Figure 1.2 – Data lake and data warehouse

So, let’s get started on creating our first data warehouse in the cloud!

You have been reading a chapter from
Serverless Machine Learning with Amazon Redshift ML
Published in: Aug 2023
Publisher: Packt
ISBN-13: 9781804619285
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