<div id="readability-page-1" class="page"><section>
			
			

			
			<article>
				
				<p>Spark의 RDD (Resilient Distributed Datasets)를 분석한다.</p>

<h3 id="1-spark-rdd">1. Spark RDD</h3>

<h3 id="2-dag">2. DAG</h3>

<h3 id="3-참조">3. 참조</h3>

<ul>
  <li><a href="https://datastrophic.io/core-concepts-architecture-and-internals-of-apache-spark/">https://datastrophic.io/core-concepts-architecture-and-internals-of-apache-spark/</a></li>
  <li><a href="https://jaemunbro.medium.com/apache-spark-%EC%A1%B0%EC%9D%B8-join-%EC%B5%9C%EC%A0%81%ED%99%94-c9e54d20ae06">https://jaemunbro.medium.com/apache-spark-%EC%A1%B0%EC%9D%B8-join-%EC%B5%9C%EC%A0%81%ED%99%94-c9e54d20ae06</a></li>
  <li><a href="https://www.pinterest.co.kr/pin/481885228860470654/">https://www.pinterest.co.kr/pin/481885228860470654/</a></li>
</ul>

				
				
					
					<ins data-ad-client="ca-pub-2913607840371995" data-ad-slot="7197718666" data-ad-format="auto"></ins>
					
				

				
				
					
				
			</article>
		</section></div>

Ssup2 Blog

Spark의 RDD (Resilient Distributed Datasets)를 분석한다.
1. Spark RDD
2. DAG
3. 참조
  https://datastrophic.io/core-concepts-architecture-and-internals-of-apache-spark/
  https://jaemunbro.medium.com/apache-spark-%EC%A1%B0%EC%9D%B8-join-%EC%B5%9C%EC%A0%81%ED%99%94-c9e54d20ae06
  https://www.pinterest.co.kr/pin/481885228860470654/

Spark RDD

댓글