Data Intensive Applications: Architecting Scalable Solutions for Informed Decision-Making and Innovation

Big Data and Analytics for Beginners: A Beginner's Guide to Understanding Big Data and Analytics

Data Quality for Beginners: Architecting Scalable Solutions for Informed Decision-Making and Innovation

Fundamentals of Data Engineering: Empowering Insights, Driving Innovation

Data Science Guide for Beginners: Comprehensive Guide to Understanding the Power of Artificial Intelligence

Python for Data Analysis: From Basics to Advanced Data Science Techniques

Neural Networks For Beginners: How to Build Intelligent Systems from Scratch

Data Structures and Algorithms for Beginners: Elevating Your Coding Skills with Data Structures and Algorithms

Data-Oriented Programming for Beginners

Data Aggregation

Data Governance Guide: Principles, Practices, and Implementation

DataOps: The Essential Guide to Data Operations for Modern Enterprises

Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data. Comprehensive review of Apache Hadoop, Spark and Flink.

Data Virtualization

Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data.

Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

Data Analysis with Python: Unlock the Power of Data. Comprehensive Guide for Beginners

MySQL for Data Science: Unlocking Insights and Driving Innovation with MySQL in Data Science

SQL for Data Analysis: Harnessing the Power of SQL for Insightful Data Exploration

Relational Databases: Mastering the Fundamentals of SQL, Design, and Optimization for Efficient Data Handling