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Data Engineering Guide

Articles about important cloud data engineering topics, including ETL, data integration, and JSON.

Master Data Management (MDM)

Master Data Management (MDM) is a data organization and consolidation process for uniform information utilization across all systems within an organization.

What is ETL?

ETL (extract, transform, load) process consolidates data from multiple databases and sources into a single repository for data analysis and data consistency.

What Is a Feature Store in Machine Learning?

A feature store is a emerging data system used for machine learning, serving as a centralized hub for storing, processing, and accessing commonly used features.

What is Spark Streaming?

Spark Streaming and Spark Structured Streaming are designed for real-time data processing. In this article, we look at their capabilities and limitations.

Building streaming data pipelines

Explore real-time insights with streaming data pipelines, from cybersecurity to ecommerce. Learn how they transform industries in our guide.

Optimizing Streaming data ingestion for better streaming analytics

Streaming data must be processed and made available as it is created. Learn how a streaming data platform's capabilities support near real-time data ingestion.

ETL vs ELT

ELT vs. ETL: ELT provides increased flexibility, better accessibility, scalability, faster loading and transformation times, and reduced data maintenance time.

Stream processing: What it is and why to use it

Discover the improtance of stream processing in modern businesses and learn why organizations are implementing continuous data pipelines for real-time analysis.

Advanced Analytics Makes Organizations Smarter

Advanced analytics describes a basket of modern data analysis tools and practices to uncover useful patterns and relationships to reveal key business insights.