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Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python
Effective DevOps: Building a Culture of Collaboration, Affinity, and Tooling at Scale
Microservices: Up and Running: A Step-by-Step Guide to Building a Microservice Architecture
Modern Mainframe Development: Cobol, Databases and Next-Generation Approaches
Python for Excel: A Modern Environment for Automation and Data Analysis
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Spring Boot: Up and Running: Building Cloud Native Java and Kotlin Applications
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Learning SQL: Generate, Manipulate, and Retrieve Data 3rd Revised edition
Kubernetes - Up and Running: Dive into the Future of Infrastructure 3rd New edition
Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
Head First HTML and CSS: A Learner's Guide to Creating Standards-Based Web Pages 2nd Revised edition
MySQL Cookbook: Solutions for Database Developers and Administrators 4th New edition
Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking
Storytelling in Design: Defining, Designing, and Selling Multidevice Products
Learning Blazor: Build Single-Page Apps with Webassembly and C#
Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence
