Transcription of Migration Guide: Hadoop to Databricks
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Migration Guide: Hadoop to Databricks
Migration Guide: Hadoop to DatabricksData architecture modernizationTECHNICAL GUIDEH adoop is an ecosystem of open source software projects for distributed data storage and processing. Databricks is a cloud- and Apache Spark based big data analytics service generally available in Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure. Databricks is the creator of Apache Spark, and Databricks is a managed cloud platform built atop an optimized version of Spark. The Databricks Platform offers a development environment focused on collaboration, streaming and batch data processing for data engineering, data science and BI workloads, and offers a notebook experience as well as integration with several popular IDEs for code development, testing and deployment.
Most Hadoop users, planning the future of their data strategy, are frustrated with the cost, complexity and viability of their existing Hadoop platforms. On-premises Hadoop platforms have failed to deliver on business value due to the lack of data science capabilities, the high cost of operations, lack of agility and poor performance.
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