Building Effective Machine Learning Pipelines
To maximize the impact of ML models, organizations must adopt structured, scalable and automated ML pipelines – supported by efficient data deployment practices.
AI DATA CLOUDFUNDAMENTALS
Learn about some of the most relevant topics around cloud data warehousing, AI, data lakes, data engineering and other areas of interest related to cloud data analytics, AI and cloud data platforms.
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Building Effective Machine Learning Pipelines
To maximize the impact of ML models, organizations must adopt structured, scalable and automated ML pipelines – supported by efficient data deployment practices.
A Modern Approach to the Operational Data Store
Learn how an operational data store works, the potential benefits of using one, and how it can give businesses access to the data they need more quickly and efficiently.
Data Analytics for Retailers
Retail customers expect shopping experiences to be personalized to their unique needs and preferences. Data analytics enables a data-driven approach to meet these expectations.
Feature Engineering vs. Feature Stores
Understanding the relationship between feature engineering and feature stores is vital for developing strong machine learning models.
Understanding extract, load, transform (ELT)
Extract, load, transform (ELT) has emerged as a modern data integration technique that enables businesses to efficiently process and analyze vast amounts of information.
Bridging SQL Development and Event-Driven Architecture
Despite their separate roles, SQL development and event-driven architecture (EDA) are essential components for building scalable, real-time and collaborative data systems.
Unlocking Value Through Data Transformation in Modern Pipelines
Data transformation serves as the engine behind modern data pipelines, powering everything from real-time analytics to advanced AI and ML applications.
Data Mesh for Self-Service Data
Data mesh is a decentralized data organizational approach that relieves many of the growing pains that occur when an organization sets out to become more data-driven.
Understanding CI/CD Pipelines
A continuous integration/continuous delivery (CI/CD) pipeline automates the CI and CD processes, enabling teams to deliver high-quality software efficiently. As data-driven applications become more prevalent, understanding CI/CD pipelines is essential for staying competitive.
Why and How to Use the Consumption Model of Pricing for SaaS and Cloud Services
Learn what consumption-based pricing is, how it works for SaaS and cloud services, and the key advantages of adopting this flexible, usage-based billing model.
OLAP vs. OLTP: The Differences
OLAP and OLTP are two primary data processing systems used widely in many businesses and organizations, but they have key differences.
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