From 6dd1787e3aeaac5728bed3d8b85604111d4078d6 Mon Sep 17 00:00:00 2001
From: Sachin Bhatt <111337936+Sachinbhatttech@users.noreply.github.com>
Date: Thu, 18 Aug 2022 19:10:35 +0530
Subject: [PATCH] Added a new resource

Hey, I have added a reference link for Java. I came upon this article while looking for resources to learn the Java programming language. This citation, in my opinion, will enhance the content of this article. Hope that my contribution will benefit other learners.
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5a8479c..af8bacf 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
 <p align='center'>
 <img src="https://raw.githubusercontent.com/tirthajyoti/PySpark_Basics/master/Images/Spark%20ecosystem.png" width="400" height="400">
 </p>
-Spark is implemented on <a href="https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html">Hadoop/HDFS</a> and written mostly in <a href="https://www.scala-lang.org/">Scala</a>, a functional programming language, similar to Java. In fact, Scala needs the latest Java installation on your system and runs on JVM. However, for most of the beginners, Scala is not a language that they learn first to venture into the world of data science. Fortunately, Spark provides a wonderful Python integration, called <b>PySpark, which lets Python programmers to interface with the Spark framework and learn how to manipulate data at scale and work with objects and algorithms over a distributed file system.</b>
+Spark is implemented on <a href="https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html">Hadoop/HDFS</a> and written mostly in <a href="https://www.scala-lang.org/">Scala</a>, a functional programming language, similar to <a href="https://www.scaler.com/topics/java/">Java</a>. In fact, Scala needs the latest Java installation on your system and runs on JVM. However, for most of the beginners, Scala is not a language that they learn first to venture into the world of data science. Fortunately, Spark provides a wonderful Python integration, called <b>PySpark, which lets Python programmers to interface with the Spark framework and learn how to manipulate data at scale and work with objects and algorithms over a distributed file system.</b>
 
 ## Notebooks
 ### RDD and basics