Optimizing Databricks Workloads

Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

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Accelerate computations and make the most of your data effectively and efficiently on Databricks Key Features:Understand Spark optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake Efficiently manage Spark clusters for big data processing Book Description: Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data ...