Myths About Apache Spark 🔥
Apache Spark is one of the most powerful Big Data frameworks, but many myths surround it. Let’s clear the air:
🔹 Myth 1: Spark = Only for Big Data
👉 Reality: Spark works great even on smaller datasets for fast computation.
🔹 Myth 2: Spark Replaces Hadoop
👉 Reality: Spark can run on top of Hadoop (HDFS) – they complement each other.
🔹 Myth 3: Spark = Only for Data Scientists
👉 Reality: Spark is used by engineers, analysts, and researchers alike.
🔹 Myth 4: Spark is Too Complex
👉 Reality: With APIs in Python, Scala, Java, R, Spark is more approachable than many think.
💡 Fun Fact: Spark was originally developed at UC Berkeley in 2009 and is now one of the most active Apache projects.
Apache Spark = Speed ⚡ + Scalability 🌍 + Simplicity 💡
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