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Introduction to Data Engineering (Daniel Beach) (z-lib.org).pdf
1.9 MB
Introduction to Data Engineering (Daniel Beach).pdf

With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming an in-demand skill. Data Engineering requires a unique skill set that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!

Introduction
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pter 1 - The Theory
Chapter 2 - Data Pipeline Basics
Chapter 3 - Pipeline Architecture
Chapter 4 - Storage
Chapter 5 - Compute and Resources
Chapter 6 - Mastering SQ
Chapter 7 - Data Warehousing / Data Lakes
Chapter 8 - Data Modeling
Chapter 9 - Data Quality
Chapter 10 - DevOps for Data Engineers
Forwarded from Инжиниринг Данных (Dmitry)
dbt известны своей относительной простотой, так как дает возможность создавать все трансформации данных на SQL. Согласно их roadmap на 2022 год, они добавляют поддержку Python - Python-language dbt models
The_Enterprise_Data_Catalog_Early_Release_Ole_Olesen_Bagneux_z_lib.pdf
1.2 MB
The Enterprise Data Catalog (Early Release) (Ole Olesen-Bagneux).pdf

How do you search for data? Combing the internet is simple. But do you search for data at work? It can be difficult and time-consuming. Sometimes it even seems impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance.

Learn what a data catalog is and how it can help your organization search for data

Organize data in a catalog, including its sources, where it belongs, and how to describe it with metadata

Manage your data catalog, create access to data sources, and browse relational graph structures across systems and domains

Learn how to search your data, including its sources, and how it travels and changes in data lineage

Implement a data catalog in a way that exactly matches the strategic priorities of your organization
Sad KPI
100 дней безуспешных попыток "привыкнуть" или хотя бы свыкнуться с реальностью 💛💙
2025/02/23 06:29:03
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