a algae services   Posted 1 week ago
Use Apache Spark in Azure Databricks

One of the benefits of Spark is support for a wide range of programming languages, including Java, Scala, Python, and SQL; making Spark a very flexible solution for data processing workloads including data cleansing and manipulation, statistical analysis and machine learning, and data analytics and visualization. Azure Databricks is built on Apache Spark and offers a highly scalable solution for data engineering and analysis tasks that involve working with data in files.

Step 1. Setup Azure Databricks Workspace and open notebook
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