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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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4 Layers of AWS Architecture a Quick Answer

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4 Layers of AWS Architecture


I have collected real interview questions on AWS key architecture components. Those are S3, EC2, SQS, and SimpleDB. AWS is one of the most popular skills in the area of Cloud computing. Many companies are recruiting software developers to work on cloud computing.


AWS Key Architecture Components AWS is the top cloud platform. The knowledge of this helpful to learn other cloud platforms. Below are the questions asked in interviews recently.

What are the components involved in AWS? 

  1. Amazon S3. With this, one can retrieve the key information which is occupied in creating cloud structural design, and the amount of produced information also can be stored in this component that is the consequence of the key specified.
  2. Amazon EC2. Helpful to run a large distributed system on the Hadoop cluster. Automatic parallelization and job scheduling can be achieved by this component.
  3. Amazon SQS. This component acts as a mediator between different controllers. Also worn for cushioning requirements those are obtained by the manager of Amazon.
  4. Amazon SimpleDB. Helps in storing the transitional position log and the errands executed by the consumers.

What are the various layers in AWS?
  1. CC:  Cluster Controller
  2. SC:  Storage Controller
  3. CLC:  Cloud Controller
  4. NC: Node Controller

Conclusion 

The above questions are very important for an interview point of view. I am sure these will help you in your next interview

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