Sign-In
Cart
Interpretations From Designing Data-Intensive Applications Edition 1: A Sincere Guide To Learning From The Original Book
Paperback
Currently unavailable to order
Please enter your email and a message will be sent to you when this product becomes available on our website.
Publisher: Independently Published
Pages: 52
Weight: 0.32
Height: 0.11 Width: 8.50 Depth: 11.00
Language: English
INTERPRETATIONS FROM DESIGNING DATA-INTENSIVE APPLICATIONS - EDITION 1
Interpretations from Designing Data-Intensive Applications, Edition 1 is a practical and analytical guide for readers who want to better understand the core ideas behind modern data-intensive systems. It explores important concepts in databases, distributed systems, scalability, reliability, data processing, storage, and system architecture, translating complex technical principles into clearer and more practical interpretations.
This book is designed to help students, software developers, engineers, technology professionals, and aspiring system architects develop a stronger understanding of how data-driven applications are designed, evaluated, and improved.
What Readers Will DiscoverFoundations of Data-Intensive Applications - Understand what makes modern applications data-intensive and why data has become central to software architecture.
Reliable and Scalable Systems - Explore the principles behind building systems that remain dependable as workloads, users, and data volumes increase.
Data Models and Storage - Gain a clearer understanding of relational databases, document-oriented systems, key-value stores, and other approaches to organizing data.
Database Architecture - Examine how databases store, retrieve, index, and manage information efficiently.
Replication and Partitioning - Learn the fundamental ideas behind distributing data across multiple machines while maintaining availability and performance.
Distributed Systems - Develop a practical interpretation of the challenges involved when applications operate across networks and multiple computing systems.
Consistency and Coordination - Understand why keeping distributed data synchronized can be difficult and how different consistency approaches address these challenges.
Batch and Stream Processing - Explore how large volumes of data can be processed through batch-oriented and real-time approaches.
Fault Tolerance and Reliability - Understand how systems can be designed to continue functioning despite hardware failures, network problems, or software errors.
Data Integration and Transformation - Examine how information moves between databases, applications, processing systems, and analytical platforms.
System Design Thinking - Develop the ability to evaluate architectural decisions by considering trade-offs involving performance, reliability, scalability, complexity, and maintainability.
Practical Interpretation of Technical Concepts - Connect theoretical ideas to the kinds of problems engineers encounter when designing real-world data systems.
Modern Data Architecture - Build a broader understanding of the technologies and architectural patterns used in contemporary data-driven applications.
Engineering Trade-Offs - Learn why there is rarely a single perfect architecture and how technical decisions depend on requirements and constraints.
A Stronger Foundation for Further Study - Use the concepts presented as a starting point for deeper study of databases, distributed computing, cloud systems, analytics, and software architecture.
This book is suitable for computer science students, software developers, database professionals, data engineers, system designers, technology enthusiasts, and readers seeking a clearer conceptual understanding of data-intensive application architecture.
It emphasizes interpretation and learning rather than simply presenting technical terminology, making complex architectural ideas easier to connect with practical software-engineering challenges.
Also from
Parker, Brandon
What Makes Humans Tick?: Exploring the Best Validated Assessments
Alessandra, Tony
Parker, Brandon
Larsen, Jennifer
Paperback
Also in
Databases
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Riccomini, Chris
Kleppmann, Martin
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Ross, Margy
Kimball, Ralph
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Andrew
Gedeck, Peter
Bruce, Peter
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Vrbsky, Susan
Sharma, Abhishek
Jukic, Nenad
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Warren, Rachel
Karau, Holden
Polak, Adi
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Pelechrinis, Konstantinos
Winston, Wayne L.
Nestler, Scott
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Gutman, Alex J.
Goldmeier, Jordan
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
Product Operations: How successful companies build better products at scale
Tilles, Denise
Perri, Melissa
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Shapira, Gwen
Palino, Todd
Sivaram, Rajini
Paperback
PR Technology, Data and Insights: Igniting a Positive Return on Your Communications Investment
Weiner, Mark
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Keng, Wah Loon
Paperback
High Performance Python: Practical Performant Programming for Humans
Ozsvald, Ian
Gorelick, Micha
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Sanderson, Chad
Schmidt, B. E.
Freeman, Mark
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Gupta, Nikhil
Yip, Jason
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Subbarao, Karthik
Sreekumar, Kiran
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Graaf, Robert de
Molinaro, Anthony
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
Data Analytics & Visualization All-In-One for Dummies
Hyman, Jack A.
McFedries, Paul
Massaron, Luca
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Hölzle, Urs
Ranganathan, Parthasarathy
Barroso, Luiz André
Hardcover
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Sopirala, Srikanth
Shukla, Navnit
Pham, Kien
Paperback
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Merced, Alex
Shiran, Tomer
Hughes, Jason
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Preston, W. Curtis
Saylor, Michael
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Stagnitto, Jim
Corr, Lawrence
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Geisler, Frank
Brattã S. Johan Ludvig
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Venkatraman, Venkat
Govindarajan, Vijay
Hardcover
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Ruiter, Julian de
Cabral, Ismael
Geusebroek, Kris
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Wason, Prashant
Saktheeswaran, Bhavani Sudha
Xu, Shiyan
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Madson, Andrew
Merced, Alex
Shiran, Tomer
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Aakriti
Agrawal, Arvind
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Lee, Denny
Wentling, Tristen
Haines, Scott
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Gupta, Anuj
Vajjala, Sowmya
Majumder, Bodhisattwa
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eager, Eric A.
Erickson, Richard a.
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Angelakos, Jimmy
Ciolli, Gianni
Mejías, Boriss
Paperback
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Dorsey, Dustin
Cyr, Cameron
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Friedman, Jerome
Hastie, Trevor
Tibshirani, Robert
Hardcover
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Knorre, Susanne
Müller-Peters, Horst
Gatzert, Nadine
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Russa, Hélder
Machado, Rui
Paperback
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Ferrari, Luca
Pirozzi, Enrico
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Goldwasser, Matt
Shan, Jun
Li, Haibin
Paperback
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
Rao, Delip
McMahan, Brian
Paperback
A Comprehensive Introduction to Python: From the Basics to Data Analytics: From the Basics to Data Analytics
Masloff, Jackie
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Pasam, Venkata Reddy
Andiappan, Petchikumar
Paperback
Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform
Merced, Alex
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Hueske, Fabian
Kalavri, Vasiliki
Paperback
Data Center Critical Facilities Migration from Construction to Operations
K. Tidjani, Yekini
Paperback
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business
Marr, Bernard
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Shah, Bhumika
Dubey, Devtosh
Paperback
From Data to Dollars: Getting Started with Data Analytics and AI in Startups
Sidoruk, Piotr
Paperback
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
Gilad, Uri
Lakshmanan, Valliappa
Eryurek, Evren
Paperback
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
Lakshmanan, Valliappa
Paperback
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models
Giles, John
Paperback
The Definitive Guide to Microsoft Fabric: From discovery to building a unified, secure, and scalable data platform
Riehl, Jean-Pierre
Maneu, Christopher
Beau, Emilie
Paperback
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Crickard, Paul
Paperback
SAP S/4hana Financial Accounting Certification Guide: Application Associate Exam
Pougkas, Stefanos
Paperback