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Demystify Apache Spark with Azure Synapse Analytics

Jason Hand @ wearing a
Senior Cloud Ops Advocate @ Microsoft Jason writes, presents, and coaches on the principles and nuance of DevOps, Site Reliability Engineering, and modern incident management practices
Originally published at ・Updated on ・1 min read

πŸ“Ί 034 - Adi Polak πŸŽ™οΈ Jason Hand

Spark is the leading Big Data analytics framework. However, it also has excellent features for Stream processing and machine learning development. Big Data systems are a new reality. Whether we're creating microservices-based solutions or machine learning-based products, we work with data, most often, big data. Apache Spark is your friend if you want to position yourself on the road for success as a Big Data Developer, Data Engineer, or Data Science with hands-on production experience. Come to this session to learn the basics of Apache Spark and how YOU can get started with it.

By attending this session, you will learn how to get started with Apache Spark, it’s capabilities, what Spark pools are and how to take advantage of Spark pools in Synapse Analytics.

Useful Links

πŸ”— Azure Synapse Analytics

πŸ”— Learn Module: Spark architecture fundamentals

πŸ”— Learn Module: Introduction to Python

Learn more about Adi Polak

πŸ”— @adipolak

Find Us On

πŸ“Ί Twitch

πŸ”— Twitter


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