Modern Data Engineering with Apache Spark

Modern Data Engineering with Apache Spark

Practical Data Engineering with Apache Projects - by Dunith Danushka (Paperback)

Apache Spark 2.x Cookbook: Over 70 cloud-ready recipes for distributed Big Data processing and analytics

Big Data Processing Using Spark in Cloud

Practical Apache Spark: Using the Scala API

Fast Data Processing with Spark 2: Accelerate your data for rapid insight

Spark: The Definitive Guide: Big Data Processing Made Simple

Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition)

Spark: The Definitive Guide: Big Data Processing Made Simple

Hands-on Guide to Apache Spark 3

Spark in Action

Data Algorithms with Spark

Ultimate Data Engineering Design Patterns: Design and Build Scalable Data Pipelines Using Proven Patterns for Modern Data Platforms`

Spark for Data Science: Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

Designing Modern Data-Intensive Applications: A Practical Guide to Building Scalable, Reliable, and Maintainable Data Systems (Modern Data Systems Series Book 1)

Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale

The Snowflake Handbook: Optimizing Data Warehousing and Analytics

Spark Big Data Cluster Computing in Production

Practical Data Science with Hadoop and Spark: Designing and Building E

Big Data Processing With Hadoop

Spark: The Definitive Guide: Big Data Processing Made Simple

Data Algorithms with Spark

Streaming Data: Understanding the real-time pipeline

Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

Practical Data Analysis: Pandas, MongoDB, Apache Spark, and more

Advanced Analytics with Pyspark - by Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills (Paperback)

Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (AddisonWesley Data & Analytics) (Addison-Wesley Data and Analytics)

Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools (Paperback)

Pre-Owned Mastering Spark for Data Science (Paperback)

Data Engineering Best Practices: Architect robust and cost-effective data solutions in the cloud era

Exploring Hadoop Ecosystem (Volume 1): Batch Processing

Agile Data Warehousing for the Enterprise

Mastering Spark With R

scikit-learn: Implement scikit-learn into every step of the data science pipeline (Paperback)

DW 2.0: The Architecture for the Next Generation of Data Warehousing

Big Data and Hadoop (Digital M)

Stream Processing with Apache Flink - by Fabian Hueske & Vasiliki Kalavri (Paperback)

Building Data Pipelines Using Apache Beam

Pre-Owned Apache Oozie: The Workflow Scheduler for Hadoop Paperback

Practical Hive: A Guide to Hadoop's Data Warehouse System

Data Engineering with Databricks

Integrating Hadoop

Instant MapReduce Patterns - Hadoop Essentials How-to

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle

Spark: The Definitive Guide: Big Data Processing Made Simple

High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

Data Analytics with Hadoop: An Introduction for Data Scientists