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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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Dynamics of "Code Halos" in the age Digital world

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[IoT -Code Halos Career]
[IoT -Code Halos Career]
“Code Halos – the information that surrounds people, organizations, and devices – are today's digital fuel. Every click, swipe, and view, every interaction and transaction generates a halo of code – a "virtual self" – that's robust, powerful, and rich with meaning and insight. You can go with an excellent book on Code halos.

Code Halos are a given in our personal lives; however, they are increasingly vital to every organization's future business success.” Research conducted by Cognizant's Center for the Future of Work reveals that organizations that create, share, and distill meaning from Code Halos are dominating their industries.
The dynamics of Code Halos is realized in our ever-increasing daily interactions across the web like social media, e-commerce, file sharing, smartphone apps, and other computing devices.

Moreover there are multiple layers of interdependencies between each of these interactions that create a unique virtual identity termed by Cognizant as Code Halos. Accordingly, it is a halo of digital information connecting people, organizations, processes, and devices.

Extending the Code Halos idea to other meaningful data at the enterprise level unravels some interesting examples: Insurance companies Allstate and Progressive and others are using very specific driver data, collected in many cases through telematics devices, to create new kinds of commercial models for personal and auto insurance.

Read more: Internet of things-part-6

Disney has created its MagicBand system where it has encoded user credit card information and what kind of things consumers are interested in; it helps users get a very personalized theme-park guest experience based on data and information, and it’s all encoded in a wristband. In manufacturing, GE creates code halos around their jet engine with hundreds of sensors built into the engine, generating data useful for GE and airlines. It’s lowering costs, improving safety, and efficiency, and there are many business benefits.

Read more: Code Halos -How digital lives of people changing the world.

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