𝐀𝐩𝐚𝐜𝐡𝐞 𝐒𝐩𝐚𝐫𝐤 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬

📌 In this blog, we are going to cover 𝐀𝐩𝐚𝐜𝐡𝐞 𝐒𝐩𝐚𝐫𝐤 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬 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 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 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, 𝐒𝐩𝐚𝐫𝐤 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐢𝐬 𝐤𝐧𝐨𝐰𝐧 𝐟𝐨𝐫 𝐢𝐭𝐬 𝐬𝐩𝐞𝐞𝐝 𝐚𝐧𝐝 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲.

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

Topics, we’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

Register for the FREE CLASS now at https://k21academy.com/dp20302 and learn from the Microsoft Certified Trainers.