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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
Designing Cloud Data Platforms (Paperback)
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avg rating 4.36 — 70 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 4.26 — 191 ratings — published
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Paperback)
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avg rating 4.15 — 730 ratings — published
Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine (Paperback)
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avg rating 4.26 — 274 ratings — published 2014
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)
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avg rating 4.12 — 1,105 ratings — published 2012
Cassandra: The Definitive Guide (Paperback)
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avg rating 3.76 — 268 ratings — published 2010
Understanding Distributed Systems: What every developer should know about large distributed applications (ebook)
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avg rating 4.37 — 544 ratings — published
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services (Paperback)
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avg rating 3.59 — 657 ratings — published
Versioning in an Event Sourced System (ebook)
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avg rating 4.03 — 31 ratings — published
A to Z GIS: An Illustrated Dictionary of Geographic Information Systems (Paperback)
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avg rating 3.90 — 51 ratings — published 2006
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics (Paperback)
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avg rating 3.78 — 243 ratings — published
Spark in Action: With Examples in Java, Python and Scala (Paperback)
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avg rating 3.92 — 26 ratings — published
Learning Spark: Lightning-Fast Data Analytics (Paperback)
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avg rating 4.30 — 154 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 — 291 ratings — published
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (Paperback)
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avg rating 3.98 — 129 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 4.16 — 55 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 4.22 — 23 ratings — published
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale (Paperback)
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avg rating 4.18 — 78 ratings — published
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (Paperback)
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avg rating 4.40 — 238 ratings — published
Data Management at Scale: Best Practices for Enterprise Architecture (Paperback)
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avg rating 4.09 — 106 ratings — published
The Unified Star Schema: An Agile and Resilient Approach to Data Warehouse and Analytics Design (Kindle Edition)
by (shelved 1 time as data-processing)
avg rating 3.78 — 23 ratings — published
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis (Paperback)
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avg rating 4.08 — 39 ratings — published
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights (Paperback)
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avg rating 4.28 — 61 ratings — published
Effective SQL: 61 Specific Ways to Write Better SQL (Effective Software Development Series)
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avg rating 4.15 — 27 ratings — published
PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries (Paperback)
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avg rating 4.14 — 37 ratings — published
Database Internals: A deep-dive into how distributed data systems work (Paperback)
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avg rating 4.27 — 574 ratings — published
Star Schema The Complete Reference (Paperback)
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avg rating 4.51 — 187 ratings — published 2010
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (Paperback)
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avg rating 4.06 — 62 ratings — published
Official Google Cloud Certified Professional Data Engineer Study Guide (ebook)
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avg rating 4.27 — 77 ratings — published
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)
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avg rating 4.16 — 998 ratings — published 2022
Effective Pandas: Patterns for Data Manipulation (Treading on Python)
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avg rating 4.23 — 88 ratings — published
Data Mesh: Delivering Data-Driven Value at Scale (Paperback)
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avg rating 3.78 — 386 ratings — published 2022
Mastering PostgreSQL in Application Development (ebook)
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avg rating 4.05 — 41 ratings — published 2017
DAMA-DMBOK: Data Management Body of Knowledge (Paperback)
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avg rating 4.18 — 223 ratings — published 2010
Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization (Treading on Python Book 12)
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avg rating 4.12 — 72 ratings — published
Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics (Kindle Edition)
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avg rating 4.12 — 8 ratings — published 2015
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
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avg rating 4.07 — 68 ratings — published
Building a Scalable Data Warehouse with Data Vault 2.0 (Kindle Edition)
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avg rating 3.99 — 80 ratings — published 2015
“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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