Posts
All the articles I've posted.
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What Happens When HDFS Splits Files Mid-Word or Mid-Row?
HDFS is designed to store and process massive amounts of data efficiently. One of its key design decisions is to split files into large, fixed-size blocks , typically 128MB or 256MB. But what happens
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How HDFS Handles File Partitioning and Block Distribution
One of the key innovations behind the Hadoop Distributed File System (HDFS) is how it breaks down large files and distributes them across multiple machines. This mechanism, called partitioning and
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What is HDFS and Why Was It Revolutionary for Big Data?
In the early 2000s, the world was generating data at a scale never seen before—web logs, social media, sensors, and more. Traditional storage systems simply couldn't keep up with the volume, velocity,
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What Is Serialization?
In the world of data engineering and software systems, serialization is a fundamental concept that allows you to efficiently store, transmit, and reconstruct data structures. If you’ve worked with
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From HDFS to S3: The Evolution of Data Lakes in the Cloud
For years, HDFS (Hadoop Distributed File System) was the default choice for building data lakes in on-premises and Hadoop-based environments. But as cloud computing gained momentum, a new player took
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Is S3 the New HDFS? Comparisons and Use Cases in Big Data
Over the past decade, the way organizations store and manage big data has shifted dramatically. Once dominated by the Hadoop Distributed File System (HDFS) , the field is now led by Amazon S3 and
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The History and Evolution of Amazon S3: Was It Ever Based on HDFS?
When discussing cloud storage today, Amazon S3 is almost synonymous with scalable, reliable object storage. However, a common question among those familiar with big data technologies like Hadoop is:
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MapReduce: A Framework for Processing Unstructured Data
MapReduce is both a programming model and a framework designed to process massive volumes of data across distributed systems. It gained popularity primarily due to its efficiency in handling