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Point-in-Time Recovery (PITR) in PostgreSQL

Point-in-Time Recovery (PITR) is a powerful feature in PostgreSQL that allows database administrators to restore a database to a specific moment in time—usually just before a failure, human error, or data corruption event. It’s an essential part of a solid disaster recovery plan. PITR relies on two key elements: Advantages Example 1. Enable WAL Archiving in postgresql.conf Edit

The Complete Data Engineering Flow and the Role of Data Engineer

Introduction In today’s digital era, businesses are inundated with data from various sources — applications, sensors, customer interactions, logs, and more. Making this data usable, fast, and accessible requires a structured process known as data engineering. At the heart of it are data engineers who design and maintain systems that move data through different stages efficiently and securely.

Architecting Big Data Pipelines with Hadoop and HDFS

Introduction As data continues to grow exponentially, organizations need reliable and scalable systems to manage, process, and analyze large datasets. One of the foundational technologies in this space is Hadoop, an open-source framework designed for distributed storage and processing of big data. At the heart of Hadoop lies HDFS (Hadoop Distributed File System), which provides the backbone

Cloud Data Pipelines and the Future of Computation (Serverful vs Serverless)

Introduction The rise of cloud computing has transformed how organizations manage and process big data. Traditional on-premise infrastructure is being replaced by flexible, cloud-native architectures that offer scalability, cost-efficiency, and speed. At the core of this transformation are cloud data pipelines, which automate the movement and processing of data from diverse sources to valuable insights. One of