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Data Science on AWS | Paperback
Data Science on AWS | Paperback
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Building Big Data Pipelines with Apache Beam: Use a single programming model for both batch and stream data processing
Building Big Data Pipelines with Apache Beam: Use a single programming model for both batch and stream data processing
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Data Pipelines with Apache Airflow
Data Pipelines with Apache Airflow
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Data Observability for Data Engineering: Ensure and monitor data accuracy, prevent and resolve broken data pipelines with actionable steps
Data Observability for Data Engineering: Ensure and monitor data accuracy, prevent and resolve broken data pipelines with actionable steps
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Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
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Modern Data Architectures with Python: A modern approach to building data ecosystems
Modern Data Architectures with Python: A modern approach to building data ecosystems
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Kafka Connect: Build and Run Data Pipelines
Kafka Connect: Build and Run Data Pipelines
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Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
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Data Engineering for AI/ML Pipelines: Ultimate guide to data pipelines and architectures for AI/ML applications (English Edition)
Data Engineering for AI/ML Pipelines: Ultimate guide to data pipelines and architectures for AI/ML applications (English Edition)
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Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms
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Azure Data Factory Cookbook: A data engineer's guide to building and managing ETL and ELT pipelines with data integration
Azure Data Factory Cookbook: A data engineer's guide to building and managing ETL and ELT pipelines with data integration
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Data Engineering for Cybersecurity
Data Engineering for Cybersecurity
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
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Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro
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Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, ... Security, and Scalability (English Edition)
Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, ... Security, and Scalability (English Edition)
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Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service
Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service
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Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud
Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud
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Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
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DATA ENGINEERING WITH PYTHON: Build Efficient Data Pipelines with Python, SQL, and Airflow
DATA ENGINEERING WITH PYTHON: Build Efficient Data Pipelines with Python, SQL, and Airflow
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Data Engineering with Scala and Spark: A practical guide helping you build streaming and batch pipelines that process massive amounts of data using Scala
Data Engineering with Scala and Spark: A practical guide helping you build streaming and batch pipelines that process massive amounts of data using Scala
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Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition)
Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition)
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Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks
Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks
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Data Pipelines in Machine Learning: Building End-to-End Systems for Data Ingestion, Training, Deployment, and Monitoring at Scale
Data Pipelines in Machine Learning: Building End-to-End Systems for Data Ingestion, Training, Deployment, and Monitoring at Scale
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FROM PYTHON TO MOJO: BUILDING FASTER ML APPLICATIONS: Leverage MLIR-powered compilation for AI inference, data pipelines, and compute intensive workloads (High-Performance ML with Mojo)
FROM PYTHON TO MOJO: BUILDING FASTER ML APPLICATIONS: Leverage MLIR-powered compilation for AI inference, data pipelines, and compute intensive workloads (High-Performance ML with Mojo)
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Python for AI/ML Pipeline Development: A Detailed Guide to Creating Reproducible, Automated, and Scalable Machine Learning Pipelines, Including Data ... (Modern Programming and Tech Mastery Series)
Python for AI/ML Pipeline Development: A Detailed Guide to Creating Reproducible, Automated, and Scalable Machine Learning Pipelines, Including Data ... (Modern Programming and Tech Mastery Series)
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DuckDB The Complete Guide: Hands-On Projects for SQL Analytics, ETL Pipelines, Data Science Integration, and Performance Optimization with Python and R
DuckDB The Complete Guide: Hands-On Projects for SQL Analytics, ETL Pipelines, Data Science Integration, and Performance Optimization with Python and R
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Top 100 Data Engineer Interview questions: Fully Solved: Show Your Expertise in Pipelines, ETL, and Big Data (Top 100 Interview Questions: Technology and Engineering Series)
Top 100 Data Engineer Interview questions: Fully Solved: Show Your Expertise in Pipelines, ETL, and Big Data (Top 100 Interview Questions: Technology and Engineering Series)
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RAG & Data Foundations: Mastering Retrieval-Augmented Generation and Data Pipelines - An Essential Guide for Beginners in Agentic AI: 2
RAG & Data Foundations: Mastering Retrieval-Augmented Generation and Data Pipelines - An Essential Guide for Beginners in Agentic AI: 2
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Data Pipelines for ML Engineers: Designing Dynamic, Scalable, and Efficient Pipelines for Modern AI and ML Infrastructure
Data Pipelines for ML Engineers: Designing Dynamic, Scalable, and Efficient Pipelines for Modern AI and ML Infrastructure
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Python for Data Pipelines: Crafting Scalable ETL Solutions: A Guide to Mastering Airflow, Dask, and Cloud-Native Data Processing
Python for Data Pipelines: Crafting Scalable ETL Solutions: A Guide to Mastering Airflow, Dask, and Cloud-Native Data Processing
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RAG & Data Foundations: Mastering Retrieval-Augmented Generation and Data Pipelines - An Essential Guide for Beginners in Agentic AI
RAG & Data Foundations: Mastering Retrieval-Augmented Generation and Data Pipelines - An Essential Guide for Beginners in Agentic AI
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Mastering Azure Data Factory for Modern Data Integration: Design, Automate and Build Real-Time Data Integration Pipelines and BI Solutions by ... with Azure Data Factory (English Edition)
Mastering Azure Data Factory for Modern Data Integration: Design, Automate and Build Real-Time Data Integration Pipelines and BI Solutions by ... with Azure Data Factory (English Edition)
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Data Mesh and Zero-ETL Architectures: A Practical Guide for Building and Scaling Your Data Pipelines for Modern, Decentralized Data Platforms (Cloud ... Automation, and Modern Architectures)
Data Mesh and Zero-ETL Architectures: A Practical Guide for Building and Scaling Your Data Pipelines for Modern, Decentralized Data Platforms (Cloud ... Automation, and Modern Architectures)
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AUTOMATING DATA SCIENCE WORKFLOWS IN R: Reproducible Analysis and Pipelines (The Explorer’s Companion 2025)
AUTOMATING DATA SCIENCE WORKFLOWS IN R: Reproducible Analysis and Pipelines (The Explorer’s Companion 2025)
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P4 Programmable Data Planes: Building Custom Pipelines and INT
P4 Programmable Data Planes: Building Custom Pipelines and INT
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Data Management Mastery Guide: Build Reliable Data Pipelines Fast | Master Data Management Today | Drive Data Quality Without Delay | Smarter Workflows Made Simple | Future-Ready Data Operations Now
Data Management Mastery Guide: Build Reliable Data Pipelines Fast | Master Data Management Today | Drive Data Quality Without Delay | Smarter Workflows Made Simple | Future-Ready Data Operations Now
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High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads
High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads
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