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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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3 Top Books to Read for Data Analytics

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The financial domain has openings for analytics jobs. The top financial domains are Banking, Payments, and credit cards. 


The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript. I have selected three books for beginners of data analysts.

The Best Books are on:
  1. SAS
  2. UNIX
  3. Python 


3 Top Books Every Analytics Engineer to Read
3 Top Books to Read for Data Analytics

1. SAS best book 


I found one best book that is little SAS. This covers examples and complex macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.

2. UNIX book


The basic commands you will get everywhere. The way of executing Macros or shell scripts is really what you need. This is a good book so that you can automate the tasks.

3. Python book 


Python is a popular language and highly in demand for data analysis jobs. Python Core programming skills are highly needed.


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