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Pyspark

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  What is Apache Spark? Apache Spark is an open-source distributed data processing engine designed for big data analytics . It allows you to process large datasets across multiple machines (clusters) quickly and efficiently. Think of it as a supercharged, scalable version of Python’s Pandas or SQL that works on massive data distributed across many servers. What is PySpark? PySpark is the Python API for Apache Spark . It allows you to write Spark applications in Python . In other words: Apache Spark = the big data processing engine (written in Scala, runs on JVM). PySpark = a way to use Spark with Python . Key Features of Spark Distributed Computing: Data is split into chunks and processed in parallel across a cluster . Can handle petabytes of data . Fast Processing: Uses in-memory computation , which is faster than disk-based systems like Hadoop MapReduce. Optimized DAG (Directed Acyclic Graph) execution for tasks. Multi-Language Support: ...
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Docker

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Open source platform is  a set of software tools and technologies that are freely available for anyone to use, modify, and distribute, thanks to their publicly accessible source code 🐳 What is Docker? Docker is a platform to package applications into containers . Docker is an open-source platform that enables developers to build, deploy, run, update, and manage applications using containers, which are ligh tweight, portable, and self-sufficient units that package an application and its dependencies together. A container is a lightweight, portable, isolated environment that includes your app + dependencies + OS libraries. Think of it as “ship your code with everything it needs” so it runs the same anywhere — your laptop, cloud, or production server. Written in the Go programming language. 🚀 Why Docker Containers Are Lightweight ✅ 1. They Don’t Need a Full Operating System-kernel A virtual machine (VM) needs: Its own full OS kernel System libraries Drivers ...
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