Hadoop - The Evolution of Hadoop: From Batch to Real-Time Processing

Hadoop has come a long way since its inception. Originally designed as a batch processing framework for handling large datasets, it has evolved into a versatile ecosystem that supports real-time data processing and analytics. This article explores the journey of Hadoop, from its early days to its modern capabilities. Read More

Jupyter - How to install Jupyter on Windows?

Steps to install Jupyter on Windows Read More

Hadoop - What is Hadoop? An Overview of the Ecosystem

In an era where data is considered the new oil, managing and processing large volumes of data efficiently is critical for businesses. Hadoop, an open-source framework, has revolutionized the way organizations store, process, and analyze massive datasets. In this article, we’ll explore what Hadoop is, its core components, and how it fits into the broader big data ecosystem. Read More

JSON Serialization - How to Preserve the Type with Jackson

Learn how to preserve type information during JSON serialization and deserialization using Jackson. This guide explains best practices, including the use of @JsonTypeInfo and enabling default typing, to maintain object structure while working with polymorphic types in Java. Read More

Explained - Key Data Concepts: Data Warehouse, Data Mart, Data Lake, and Data Lakehouse

Explore the differences between data warehouses, data marts, data lakes, and data lakehouses. Understand their features, use cases, and how to choose the right solution for effective data management. Read More

Explained - Lambda Architecture

Learn about Lambda Architecture, a data-processing framework that combines batch and real-time processing to efficiently handle massive data streams, ensuring scalability, fault tolerance, and accuracy in data systems. Read More

Java - How to create Immutable Classes in Java

Discover how to create immutable classes in Java with step-by-step guidance, key principles, and best practices for designing secure and robust objects. Read More