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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Uniting Data Providers, Apps and Marketplaces for Business Intelligence

As organizations increasingly seek to enrich their internal insights with external intelligence, two critical components have emerged at the heart of the modern data economy: data suppliers and data marketplaces.

AI in Business and Product Development

From enhancing decision-making to powering adaptive products, AI is reshaping how companies operate, compete and deliver value.

What Are AI Agents? Understanding Their Role and Impact

AI agents are revolutionizing modern business by automating tasks and enhancing decision-making through advanced algorithms and machine learning techniques.

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.

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.

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