Akamai Developer | How Apache Spark Redefines Big Data Processing at Massive Scale @AkamaiDeveloper | Uploaded January 2024 | Updated October 2024, 10 hours ago.
In this video, @gardiner_bryant explains Apache Spark, a multi-language big data analytics engine for scalable computing. Gardiner discusses the three main pillars of Apache Spark and highlights its main advantages.

New to Cloud Computing? Get started here with a $100 credit → linode.com/lp/youtube-viewers/?ifso=linodetube&utm_source=youtube&utm_medium=CloudSimplified

Chapters:
0:00 Introduction
0:16 Overview of Apache Spark
1:04 Apache Spark Pillar #1: Spark Core
1:38 Apache Spark Pillar #2: RDD
2:23 Apache Spark Pillar #3: Data Frame
2:37 Advantages of Apache Spark
3:13 Learn How to Deploy Apache Spark
3:21 Conclusions

Read the doc for more information on using Apache Spark→ linode.com/docs/guides/why-use-apache-spark
Learn more about deploying Apache Spark on Kubernetes → spark.apache.org/docs/latest/running-on-kubernetes.html#how-it-works
Subscribe to get notified of new episodes as they come out → youtube.com/channel/UCf8uu3IE42b6hRUusufEH8g?sub_confirmation=1

#AkamaiDeveloper #ApacheSpark #Kubernetes
Product: Akamai, Apache Spark, Kubernetes; @gardiner_bryant