Posts
All the articles I've posted.
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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
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Understanding .master() in Apache Spark
In Apache Spark, the .master() method is used to specify how your application will run, either on your local machine or on a cluster. Choosing the correct option is essential depending on your
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How Joins Work in PostgreSQL
Joins are one of the most powerful features in SQL, allowing you to combine data from multiple tables in a single query. PostgreSQL, as a relational database system, provides robust support for
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How to Improve Query Performance in PostgreSQL
PostgreSQL is a powerful relational database, but even the most robust systems can suffer from slow queries without proper tuning. Optimizing query performance is crucial to ensure scalability,