Description
Data Engineering eBook Bundle – List of Titles
- Cloud FinOps_ Collaborative, Real-Time Cloud Value Decision Making, 2nd Edition
- Data Engineering Best Practices_ Architect robust and cost-effective data solutions in the cloud era
- Data Engineering Design Patterns_ Recipes for Solving the Most Common Data Engineering Problems
- Deciphering Data Architectures_ Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
- Delta Lake_ The Definitive Guide_ Modern Data Lakehouse Architectures with Data Lakes
- Driving Data Quality with Data Contracts_ A comprehensive guide to building reliable, trusted, and effective data platforms
- Fundamentals of Data Engineering_ Plan and Build Robust Data Systems
- Kafka Connect_ Build and Run Data Pipelines
- Mastering Kafka Streams and ksqlDB_ Building Real-Time Data Systems by Example
- Practical Lakehouse Architecture_ Designing and Implementing Modern Data Platforms at Scale
- Apache Iceberg_ The Definitive Guide_ Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
- Apache Pulsar in Action
- Building Modern Data Applications Using Databricks Lakehouse_ Develop, optimize, and monitor data pipelines on Databricks
- Building Real-Time Analytics Systems_ From Events to Insights with Apache Kafka and Apache Pinot
- Cost-Effective Data Pipelines_ Balancing Trade-Offs When Developing Pipelines in the Cloud
- Cracking the Data Engineering Interview_ Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
- Data Engineering with Scala and Spark_ Build streaming and batch pipelines that process massive amounts of data using Scala
- Data Governance Handbook_ A practical approach to building trust in data
- Data Management at Scale_ Modern Data Architecture with Data Mesh and Data Fabric, 2nd Edition
- Data Observability for Data Engineering_ Ensure and monitor data accuracy, prevent and resolve broken data pipelines with actionable steps
- Data Privacy_ A runbook for engineers
- Data Quality Engineering in Financial Services_ Applying Manufacturing Techniques to Data
- Engineering Lakehouses with Open Table Formats_ Build scalable and efficient lakehouses with Apache Iceberg, Apache Hudi, and Delta Lake
- Getting Started with DuckDB_ A practical guide for accelerating your data science, data analytics, and data engineering workflows
- Learning and Operating Presto_ Fast, Reliable SQL for Data Analytics and Lakehouses
- Machine Learning for Streaming Data with Python_ Rapidly build practical online machine learning solutions using River and other top key frameworks
- Mastering Apache Pulsar_ Cloud Native Event Streaming at Scale
- Modern Data Architectures with Python_ A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
- Python Polars_ The Definitive Guide_ Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API
- Snowflake Data Engineering
- SnowPro Core Certification Study Guide_ Build a solid foundation in Snowflake to pass the SnowPro Core exam on the first attempt
- Stream Processing with Apache Flink_ Fundamentals, Implementation, and Operation of Streaming Applications
- Streaming Data Mesh_ A Model for Optimizing Real-Time Data Services
- Streaming Databases_ Unifying Batch and Stream Processing
- Azure Data Engineering Cookbook_ Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
- Streaming Systems_ The What, Where, When, and How of Large-Scale Data Processing
- Apache Airflow Best Practices_ A practical guide to orchestrating data workflow with Apache Airflow
- Data Engineering with Databricks Cookbook_ Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
- Engineering Data Mesh in Azure Cloud_ Implement data mesh using Microsoft Azure’s Cloud Adoption Framework
- Analytics Engineering with SQL and dbt_ Building Meaningful Data Models at Scale
- Data Engineering with AWS_ Acquire the skills to design and build AWS-based data transformation pipelines like a pro, 2nd Edition
- Grokking Streaming Systems_ Real-time event processing
- Kafka Streams in Action_ Event-driven applications and microservices, 2nd Edition
- Kafka_ The Definitive Guide_ Real-Time Data and Stream Processing at Scale, 2nd Edition
- Learn Azure Synapse Data Explorer_ A guide to building real-time analytics solutions to unlock log and telemetry data
- Mastering Apache Pinot_ Real-Time Analytics at Scale
- Mastering ClickHouse
- Azure Data Engineer Associate Certification Guide_ Ace the DP-203 exam with advanced data engineering skills, 2nd Edition
- Databricks Certified Data Engineer Associate Study Guide_ In-Depth Guidance and Practice
- I Heart Logs_ Event Data, Stream Processing, and Data Integration
- Amazon Redshift Cookbook_ Recipes for building modern data warehousing solutions, 2nd Edition
- Data Engineering with AWS Cookbook_ A recipe-based approach to help you tackle data engineering problems with AWS services
- Data Engineering with dbt_ A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
- Data Engineering with Google Cloud Platform_ A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud, 2nd Edition
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