It allows GPU pooling, which allows GPU resources to be shared among additional workloads for cost savings. HDP lays the groundwork for integrating GPUs (Graphics processing Unit) into Apache Hadoop clusters, boosting the speed of computations for data science and AI applications. It is feasible to design and deploy a container-based service. Erasure coding improves storage efficiency by 50%, allowing for more effective data replication and a cheaper total cost of ownership. Third-party applications are also supported by HDP in Docker containers and native YARN containers. Containerization allows you to run many versions of an application at the same time, allowing you to quickly add new features and develop and test new service versions without interrupting existing ones. Image Source Key Features of Hive Time to Deployment and Total Cost of Ownership (TOC)īuilding and deploying apps in minutes is achievable with a container-based service. In this article, you are going to learn about Tableau Hive Connection and how to establish it in two easy steps. Tableau Hive Connection: Truncated Columns in Tableau.Tableau Hive Connection: High Latency Limitation.Tableau Hive Connection: Null Value Returned.Tableau Hive Connection: Working with Date/Time.Working with Hadoop Hive Data in Tableau Hive Connection.Tableau Hive Connection Process: Setting Up the Data Source.Tableau Hive Connection Process: Making the Connection.How to Establish Tableau Hive Connection?.Simplify Tableau’s ETL & Data Analysis with Hevo’s No-code Data Pipeline.

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