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8 Ways to Optimize AWS Glue Jobs in a Nutshell

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  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
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Cloud Computing Vs Virtualization Real Differences

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Servicing of computing resources you can say as Cloud computing. They charge for some amount each service used by an user. On the other hand, making multiple machines virtually by using same hardware is called virtualization. Sell all the real differences.

Public Vs Private Vs Hybrid Cloud

  1. Public Cloud: Available to the public is called the PUBLIC cloud. 
  2. Private Cloud: Available to the particular Business/Company is called PRIVATE Cloud. 
  3. Hybrid Cloud: Combination of Public and Private Clouds.
Cloud services
Cloud Services

Cloud Services

  • Cloud services (remote data and computation) are exposed as simple and user-friendly web services. For example, Microsoft's ADO.NET (originally called Astoria) provides the tools to expose any data object from a collection, stored in a database or other form, as a URI to an encoded form using a standard such as JSON or ATOM representation
  • Google's AppEngine provides a way to deploy a remote Python script that becomes a web service that can access data in their BigTable database system.
  • To deliver highly available and flexible services (i.e., computation as a service), and owing to the maturity of virtualization technology, Virtual Machines (VMs) are used as a standard for object deployment in the cloud.

Virtual Machines

  • VMs decouple the computing infrastructure from the physical infrastructure. VMs allow the customization of the platform to suit the needs of the end-user. 
  • For example, in the Amazon Elastic Compute Cloud (EC2), the customer selects his/her preferred VM image (virtual appliance) from a list of various versions of Linux and Windows servers

References


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