Fundamentals of Data Engineering: Plan and Build Robust Data Systems - Image 1

Price loading...

O'Reilly Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Name: Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Brand: O'Reilly

Applications

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle

Product Specifications

Brand: O'Reilly
Format: Paperback
ASIN: 1098108302
Category: Books > Subjects > Computing & Internet > Databases > Applications
Domain: Amazon UK
Release Date: 05 July 2022
Listed Since: 01 March 2022

Barcode

No barcode data available

O'Reilly Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Financial Data Engineering: Design and Build Data-Driven Financial Products

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications

Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

O'Reilly Analytics Engineering with SQL and dbt Book

Data-Driven Engineering Design

The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science

Data Engineering and Data Science: Concepts and Applications

Data Engineering for Beginners (Tech Today)

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Resilient Oracle Pl/SQL: Building Resilient Database Solutions for Continuous Operation

Reliable Machine Learning: Applying SRE Principles to ML in Production

The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation

Building Data Integration Solutions: Unifying Data for Enhanced Decision-Making

Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Designing and Implementing Solutions

Analytical Skills for AI and Data Science: Building Skills for an AI-driven Enterprise

Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

Data Engineering for AI/ML Pipelines: A Comprehensive Guide to Building Scalable, Intelligent Data Workflows

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society (Classroom Companion: Business)

Data Modeling Fundamentals: A Practical Guide for IT Professionals

Building Event–Driven Microservices: Leveraging Organizational Data at Scale