BOOKS - Data Engineering with dbt: A practical guide to building a cloud-based, pragm...
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL - Roberto Zagni June 30, 2023 PDF  BOOKS
ECO~23 kg CO²

3 TON

Views
11680

Telegram
 
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Author: Roberto Zagni
Year: June 30, 2023
Format: PDF
File size: PDF 17 MB
Language: English



Pay with Telegram STARS
Book Description: Data Engineering with dbt - A Practical Guide to Building a CloudBased Pragmatic and Dependable Data Platform with SQL Roberto Zagni Roberto Zagni June 30, 2023 Format: Print/Kindle/PDF (Included) Genre: Technology, Data Engineering, Analytics, Data Management, Data Architecture Synopsis: In this comprehensive guide, we explore the practical application of dbt, a powerful tool for modern data engineering, to build agile, dependable, and futureproof data platforms using SQL. We delve into the evolution of technology and its impact on human perception, highlighting the need for a personal paradigm shift in understanding the technological process of developing modern knowledge as the basis for survival and unity in a warring world. This book is designed for data engineers, analytics engineers, BI professionals, and decision makers who want to learn how to build simple, maintainable data platforms in an agile way.
Data Engineering with dbt - практическое руководство по созданию прагматичной и надежной платформы данных на основе облачных вычислений с SQL Roberto Zagni Roberto Zagni 30 июня 2023 г. Формат: Жанр Print/Kindle/PDF (включено): технологии, инженерия данных, аналитика, управление данными, краткий обзор архитектуры данных: В этом полном руководстве мы рассмотрим практическое применение dbt, мощного инструмента для современной инженерии данных, для создания гибких, надежных и перспективных платформ данных с использованием SQL. Мы углубляемся в эволюцию технологии и ее влияние на человеческое восприятие, подчеркивая необходимость личностной смены парадигмы в понимании технологического процесса развития современных знаний как основы выживания и единства в воюющем мире. Эта книга предназначена для инженеров по обработке данных, инженеров по аналитике, специалистов по BI и лиц, принимающих решения, которые хотят научиться гибко создавать простые, обслуживаемые платформы данных.
Data Engineering with dbt es una guía práctica para crear una plataforma de datos basada en la nube pragmática y confiable con SQL Roberto Zagni Roberto Zagni 30 de junio de 2023 Formato: Género Print/Kindle/PDF (incluido): tecnología, ingeniería de datos, análisis, gestión de datos, breve descripción de la arquitectura de datos: En esta guía completa, analizaremos la aplicación práctica de dbt, una poderosa herramienta para la ingeniería de datos moderna, para crear plataformas de datos flexibles, confiables y prometedoras utilizando SQL. Profundizamos en la evolución de la tecnología y su impacto en la percepción humana, destacando la necesidad de un cambio de paradigma personal en la comprensión del proceso tecnológico del desarrollo del conocimiento moderno como base para la supervivencia y la unidad en un mundo en guerra. Este libro está dirigido a ingenieros de procesamiento de datos, ingenieros de análisis, especialistas en BI y tomadores de decisiones que desean aprender a crear plataformas de datos simples y atendidas de manera flexible.
''
Data Engineering with dbt-SQL Roberto Zagni Roberto Zagni June 30、2023形式でクラウドコンピューティングに基づいた実用的で信頼性の高いデータプラットフォームを作成するための実用的なガイド: 印刷/Kindle/PDFジャンル(含まれています):技術、データエンジニアリング、分析、データ管理、データアーキテクチャの概要: この完全なガイドでは、SQLを使用して柔軟で信頼性の高い将来性のあるデータプラットフォームを構築するために、現代のデータエンジニアリングのための強力なツールであるdbtの実用的な適用を検討します。私たちは、技術の進化と人間の知覚への影響を掘り下げ、現代の知識の発展の技術プロセスを戦争世界での生存と統一の基礎として理解するための個人的パラダイムシフトの必要性を強調します。この本は、シンプルで保守可能なデータプラットフォームを柔軟に構築する方法を学びたいデータエンジニア、分析エンジニア、BIの専門家、意思決定者を対象としています。

You may also be interested in:

Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Analytics Engineering with SQL and dbt Building Meaningful Data Models at Scale
Analytics Engineering with SQL and dbt Building Meaningful Data Models at Scale
Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows
Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
Ultimate Data Engineering with Databricks Develop Scalable Data Pipelines Using Data Engineering|s Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability
Ultimate Data Engineering with Databricks Develop Scalable Data Pipelines Using Data Engineering|s Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability
Ultimate AWS Data Engineering Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact
Analytics Engineering with SQL and dbt
Ultimate Azure Data Engineering Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications
Ultimate Azure Data Engineering Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Feature Engineering for Modern Machine Learning with Scikit-Learn Advanced Data Science and Practical Applications
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Unlocking dbt Design and Deploy Transformations in Your Cloud Data Warehouse
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
Essential Data Analytics, Data Science, and AI A Practical Guide for a Data-Driven World
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills
Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Supervised and Unsupervised Data Engineering for Multimedia Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Data Engineering and Data Science: Concepts and Applications
Supervised and Unsupervised Data Engineering for Multimedia Data
Data Engineering and Data Science Concepts and Applications
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition