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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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Top IT Skills 2015

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IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%. Enterprise investments in storage will increase 36%, and for wireless and mobile, 35%.

IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%.

 Cloud computing initiatives are the most important project for the majority of IT departments today (16%) and are expected to cause the most disruption in the future. IDG predicts the majority of cloud computing’s disruption will be focused on improving service and generating new revenue streams.

 These and other key take-aways are from recent IDG Enterprise research titled Computerworld Forecast Study 2015. The goal of the study was to determine IT priorities for 2015 in areas such as spending, staffing and technology. 

 Computerworld spoke with 194 respondents, 55% of which are from the executive IT roles. 19% from mid-level IT, 16% in IT professional roles and 7% in business management.  You can find the results and methodology of the study here.

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