๐€๐ฉ๐š๐œ๐ก๐ž ๐’๐ฉ๐š๐ซ๐ค ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž ๐…๐ฎ๐ง๐๐š๐ฆ๐ž๐ง๐ญ๐š๐ฅ๐ฌ

In this blog, we are going to cover ๐€๐ฉ๐š๐œ๐ก๐ž ๐’๐ฉ๐š๐ซ๐ค ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž ๐…๐ฎ๐ง๐๐š๐ฆ๐ž๐ง๐ญ๐š๐ฅ๐ฌ which is an open-source computing framework and a unified analytics engine for a large amount of data processing and machine learning.

Apache Spark Architecture is not only used for ๐ซ๐ž๐š๐ฅ-๐ญ๐ข๐ฆ๐ž ๐ฉ๐ซ๐จ๐œ๐ž๐ฌ๐ฌ๐ข๐ง๐  but it is also used for batch processing and it can give you a hundred times faster performance than the traditional map-reduce which comes around with Hadoop.

Spark Architecture or Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytical applications and the Apache Spark core engine of which its resources are managed by YARN. In simple words, ๐’๐ฉ๐š๐ซ๐ค ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž ๐ข๐ฌ ๐ค๐ง๐จ๐ฐ๐ง ๐Ÿ๐จ๐ซ ๐ข๐ญ๐ฌ ๐ฌ๐ฉ๐ž๐ž๐ ๐š๐ง๐ ๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐œ๐ฒ.

Want to know more

about Apache Spark Architecture Fundamentals, read the blog post at https://k21academy.com/dp20321 to learn more.

Topics, weโ€™ll cover:

What are Spark Architecture Fundamentals

What is Azure Databricks Spark Cluster

How to Create Cluster.

Understanding the Architecture of Spark job.

Jobs and Stages in Spark Architecture

Cluster Management in Spark Architecture

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