Spark

Lesson in the Data Analyst Roadmap · Stage 14: Deep Learning (Optional)

Last updated 14 September 2026

What is Spark?

Apache Spark is a distributed data processing engine for large-scale batch and streaming workloads. It processes data in memory across a cluster, making it significantly faster than MapReduce for iterative computations. Spark supports Python (PySpark), Scala, SQL, and provides libraries for machine learning (MLlib) and graph processing.

Study this in the interactive course See the whole Data Analyst roadmap

Free resources to learn Spark

Official docsApache Spark
Open sourceapache/spark

Spark: common questions

Can I learn Spark in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Spark in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Spark tutorial for beginners?

It is lesson 92 of 100 in the free Data Analyst roadmap, in stage 14, Deep Learning (Optional). If you are new to Data Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.