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Data Engineering & Analytics thumbnail

Data Engineering & Analytics

148 courses 8 categories

Data engineering and analytics is the work of moving data from where it is produced to where it can be trusted and queried. This topic covers the pipeline end to end: batch and streaming ingestion, warehouse and lakehouse modelling, SQL at scale, and the reporting layer on top.

It sits deliberately apart from machine learning — the courses here are about the data itself: schemas, throughput, correctness and cost, rather than the models that later consume it.

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Categories (8)

Data processing and analysis thumbnail
Data processing and analysis covers the day-to-day work of turning raw operational data into something a person or…
Databases thumbnail
Databases is the foundational layer underneath every persistent application. The category here covers the breadth of…
Elasticsearch thumbnail
Elasticsearch is a distributed, RESTful search and analytics engine capable of tackling real-time data. Developed by…
Math & Statistics thumbnail
Math & Statistics underpin many aspects of software engineering and data science, providing the foundational tools…
Messaging & Streaming thumbnail
Messaging & Streaming is the backbone of asynchronous communication between services, enabling scalable and reliable…
Power BI thumbnail
Power BI is Microsoft's self-service analytics and business-intelligence platform designed to transform raw data into…
Spreadsheets & Low-Code thumbnail
Spreadsheets & Low-Code are essential tools for modern data management and automation, often underestimated by…
SQL thumbnail
SQL (Structured Query Language) is the lingua franca of databases. It was standardized in 1986 and has stayed…

Courses (148)

Showing 130 of 148 courses