Spark Driver
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4.0
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Developer
Walmart
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Category
Business
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Version
4.1.3
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Android OS
6.0 and up
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Downloads
1M
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Content rating
Rated for 3+
Pro
👍 1. Efficient resource utilization: The Spark Driver application helps to distribute tasks across cluster nodes efficiently, optimizing resource utilization. This allows for faster processing and better performance.
👍 2. Fault tolerance: The Spark Driver application ensures fault tolerance by keeping track of the state of the cluster and reassigning failed tasks to other nodes. This ensures that the application can recover from failures and continue processing without interruptions.
👍 3. Interactive queries: The Spark Driver application enables interactive queries by providing a real-time response to user queries. This is particularly advantageous for scenarios where quick insights and iterative analysis are required.
Con
👎 1. Limited availability: Spark Driver application has limited availability as it is only compatible with Apache Spark framework. This means that it can only be used for applications that are built on this particular framework and may not be suitable for applications developed on other platforms.
👎 2. Resource requirements: Spark Driver application requires significant resources in terms of memory and processing power. This can pose challenges for deployments on resource-constrained systems or in cases where there is a need to scale the application to support large datasets or handle high concurrency.
👎 3. Single point of failure: The Spark Driver component serves as a single point of failure in the Spark architecture. If the driver application fails, the entire application may come to a halt, resulting in downtime and loss of productivity. To mitigate this risk, it is crucial to implement proper monitoring and fault-tolerance measures.
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