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.
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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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.
The Role of AI in Insurance
AI technology is being used by insurers to enhance their operational efficiency, manage risks and deliver personalized services.
How Audience Analysis Powers Effective Targeting
Audience analysis helps marketers uncover key segments, enable personalization and boost ROI through smarter targeting, messaging and media buying.
Understanding AI Data Pipelines
An AI pipeline comprises a series of processes that convert raw data into actionable insights, enabling businesses to make informed decisions and drive innovation.
Avro vs. Parquet: Choosing a Data Format for Modern Workflows
Understanding the distinctions between Avro and Parquet is vital for making informed decisions in data architecture and processing.
What Are Apache Iceberg Tables?
Table formats — with support for ACID transactions, such as Apache Iceberg — are part of what make data lakes and data mesh strategies fast and effective solutions for querying data at scale.
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