Data Engineering with dbt : A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Data Engineering with dbt : A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Enregistré dans:

Détails bibliographiques
Auteur principal:	Zagni, Roberto. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
par: Wijaya, Adi.

Data Engineering with Alteryx : Helping data engineers apply DataOps practices with Alteryx
par: Houghton, Paul.
Publié: (2022)

Data Engineering with AWS : Acquire the skills to design and build AWS-based data transformation pipelines like a pro
par: Eagar, Gareth.

Azure Data Engineering Cookbook : Get well versed in various data engineering techniques in Azure using this recipe-based guide
par: Venkatesan, Nagaraj.
Publié: (2022)

Engineering Data Mesh in Azure Cloud : Implement data mesh using Microsoft Azure's Cloud Adoption Framework
par: Deswandikar, Aniruddha.

Data Observability for Data Engineering : Proactive strategies for ensuring data accuracy and addressing broken data pipelines
par: Pinto, Michele.

Data Wrangling with SQL : A hands-on guide to manipulating, wrangling, and engineering data using SQL
par: Kandarpa, Raghav.

Intelligent data engineering and learning : perspectives on financial engineering and data mining
Publié: (1998)

Infinispan data grid platform definitive guide
par: Santos, Wagner Roberto Dos.
Publié: (2015)

Modern Data Architecture on AWS : A Practical Guide for Building Next-Gen Data Platforms on AWS
par: Irani, Behram.

Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
par: Tome, Eric.

Build Real Time Data Analytics on Google Cloud Platform : Build Real Time Data Analytics on Google Cloud Platform
par: Murari Ramuka.

Data Analysis for Scientists and Engineers
par: Robinson, Edward L..
Publié: (2017)

Data Engineering with Python : Work with massive datasets to design data models and automate data pipelines using Python
par: Crickard, Paul (19..-....).
Publié: (2020)

Data Engineering with Databricks Cookbook : Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
par: Chadha, Pulkit.

Driving Data Quality with Data Contracts : A comprehensive guide to building reliable, trusted, and effective data platforms
par: Jones, Andrew.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
par: Sangaiah, Arun Kumar.
Publié: (2018)

Azure Data Engineer Associate Certification Guide : Ace the DP-203 exam with advanced data engineering skills
par: Palmieri, Giacinto.

Data Science for IoT Engineers : A Systems Analytics Approach
par: Madhavan, P. G..

Perspectives on Data Science for Software Engineering
Publié: (2016)

SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
par: Teate, Renee M. P..

Security engineering : a guide to building dependable distributed systems
par: Anderson, Ross (1956-....).

IBM Cloud Pak for Data : An enterprise platform to operationalize data, analytics, and AI
par: Manda, Hemanth.
Publié: (2021)

Big Data on Kubernetes : A practical guide to building efficient and scalable data solutions
par: Crepalde, Neylson.

Cloud data centers and cost modeling : a complete guide to planning, designing and building a cloud data center
par: Wu, Caesar.
Publié: (2015)

Advanced data analysis and modelling in chemical engineering
par: Constales, Denis.
Publié: (2016)

Azure Data Factory Cookbook : A data engineer's guide to building and managing ETL and ELT pipelines with data integration
par: Foshin, Dmitry.

Modern Data Architectures with Python : A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
par: Lipp, Brian.

Cracking the Data Engineering Interview : Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
par: Bryan, Kedeisha.

Simplifying Data Engineering and Analytics with Delta : Create analytics-ready data that fuels artificial intelligence and business intelligence
par: Mahapatra, Anindita.
Publié: (2022)

Data Governance Handbook : A practical approach to building trust in data
par: Batchelder, Wendy S..

SQL for Data Analytics : Harness the power of SQL to extract insights from data
par: Shan, Jun.

SQL for Data Analytics : Perform fast and efficient data analysis with the power of SQL
par: Malik, Upom.
Publié: (2019)

Salesforce Data Architecture and Management : A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
par: Zafar, Ahsan.

Data science with SQL server quick start guide : integrate SQL Server with data science
par: Sarka, Dejan.
Publié: (2018)

Cloud Data Architectures Demystified : Gain the expertise to build Cloud data solutions as per the organization's needs (English Edition)
par: Boddeda, Ashok.

PostgreSQL for Data Architects
par: Maymala, Jayadevan.
Publié: (2015)

Data Lakehouse in Action : Architecting a modern and scalable data analytics platform
par: Menon, Pradeep.
Publié: (2022)

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
par: Badra, Jihad.
Publié: (2022)

Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data
par: Christensen, Jonas.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1