Showing posts with the label Cloud Resource management

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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

Beginner's Tutorial on Cloud Resources Management(1of 2)

Cloud resource management refers to the allocation of cloud resources, such as processor power, memory capacity, and network bandwidth. Resource management in Cloud computing The resource management system is the system responsible for allocating the cloud resources to users and applications.  For any resource management system to become successful, it needs to flexibly utilize the available cloud resources whilst maintaining service isolation. How resource management works The resource management system is expected to operate under the predefined QoS requirements as set by the customers.  The resource management at cloud scale requires a rich set of resource management schemes. The provider should show an option for scalability. Challenges   The big challenge for cloud service providers is in managing physical and virtual resources according to user-resources demands.  It is in a way that rapidly and dynamically provides resources to applications.  The big chall