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Data Processing Books
Showing 1-50 of 94
Data Processing and Information Technology (Paperback)
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avg rating 3.76 — 21 ratings — published
Data Management at Scale: Best Practices for Enterprise Architecture (Paperback)
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avg rating 4.10 — 105 ratings — published
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)
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avg rating 4.18 — 880 ratings — published 2022
Data Mesh: Delivering Data-Driven Value at Scale (Paperback)
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avg rating 3.79 — 368 ratings — published 2022
Designing Cloud Data Platforms (Paperback)
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avg rating 4.37 — 68 ratings — published
Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data (Kindle Edition)
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avg rating 3.58 — 12 ratings — published
Making Sense of Stream Processing (ebook)
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avg rating 4.25 — 190 ratings — published
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Paperback)
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avg rating 4.15 — 719 ratings — published
Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine (Paperback)
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avg rating 4.26 — 273 ratings — published 2014
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)
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avg rating 4.12 — 1,098 ratings — published 2012
Cassandra: The Definitive Guide (Paperback)
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avg rating 3.76 — 266 ratings — published 2010
Understanding Distributed Systems: What every developer should know about large distributed applications (ebook)
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avg rating 4.37 — 520 ratings — published
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services (Paperback)
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avg rating 3.59 — 654 ratings — published
Versioning in an Event Sourced System (ebook)
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avg rating 4.03 — 30 ratings — published
A to Z GIS: An Illustrated Dictionary of Geographic Information Systems (Paperback)
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avg rating 3.92 — 49 ratings — published 2006
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics (Paperback)
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avg rating 3.77 — 235 ratings — published
Spark in Action: With Examples in Java, Python and Scala (Paperback)
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avg rating 3.92 — 25 ratings — published
Learning Spark: Lightning-Fast Data Analytics (Paperback)
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avg rating 4.31 — 147 ratings — published
Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale (ebook)
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avg rating 4.19 — 26 ratings — published
PySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python (Kindle Edition)
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avg rating 3.25 — 4 ratings — published
Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science (Kindle Edition)
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avg rating 3.00 — 2 ratings — published
Spark: The Definitive Guide: Big Data Processing Made Simple (Kindle Edition)
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avg rating 4.14 — 281 ratings — published
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (Paperback)
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avg rating 3.98 — 128 ratings — published
HADOOP APPLICATION ARCHITECTURES (Paperback)
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avg rating 4.09 — 81 ratings — published 2015
Advanced Analytics with Spark (Paperback)
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avg rating 3.99 — 133 ratings — published 2015
Pro Apache Hadoop (Kindle Edition)
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avg rating 3.62 — 8 ratings — published 2014
Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Addison-Wesley Data and Analytics Series)
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avg rating 3.62 — 21 ratings — published 2014
Getting Started with MariaDB (Paperback)
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avg rating 3.85 — 20 ratings — published 2013
Hadoop Real-World Solutions Cookbook (Kindle Edition)
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avg rating 3.30 — 10 ratings — published 2013
Hadoop Operations (ebook)
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avg rating 3.93 — 88 ratings — published 2012
The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling (Paperback)
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avg rating 4.23 — 39 ratings — published 2008
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models (Elephants and Data Book 2)
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avg rating 4.19 — 21 ratings — published
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale (Paperback)
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avg rating 4.18 — 77 ratings — published
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (Paperback)
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avg rating 4.41 — 231 ratings — published
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Kindle Edition)
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avg rating 4.25 — 100 ratings — published
Kafka in Action (Paperback)
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avg rating 3.78 — 40 ratings — published
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
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avg rating 4.46 — 993 ratings — published 2022
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback)
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avg rating 4.15 — 275 ratings — published
Designing Data-Intensive Applications (ebook)
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avg rating 4.70 — 10,417 ratings — published 2015
Data Quality Fundamentals (Unknown Binding)
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avg rating 3.69 — 55 ratings — published 2022
The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight (Paperback)
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avg rating 3.57 — 42 ratings — published
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS (Kindle Edition)
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avg rating 4.28 — 18 ratings — published
Data Pipelines with Apache Airflow (Paperback)
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avg rating 4.34 — 112 ratings — published
Information Retrieval: Implementing and Evaluating Search Engines (Hardcover)
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avg rating 4.22 — 18 ratings — published 2010
Introduction to Information Retrieval (Hardcover)
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avg rating 4.22 — 418 ratings — published 2008
The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
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avg rating 3.92 — 940 ratings — published 2018
Designing Data Governance from the Ground Up: Six Steps to Build a Data-Driven Culture (Pragmatic Express)
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avg rating 3.83 — 12 ratings — published
Fast Python: High performance techniques for large datasets (Paperback)
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avg rating 4.77 — 13 ratings — published
Algorithms and Data Structures for Massive Datasets (Paperback)
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avg rating 4.00 — 24 ratings — published
Data Analysis with Python and PySpark (Paperback)
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avg rating 4.34 — 32 ratings — published
“What do we actually expect of our data processor? As our computers acquire interactive interfaces, voices, and adaptive behavior, we may be tempted to invest emotion in them, but they offer only simulation, which breeds intense irritation. It is like trying to love a mirror that won't love back. ("My computer does not understand me")”
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“When flimsy cyber defense fails, Format Preserving Encryption prevails”
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