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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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Computer Science Vs Information Science Top Differences

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Computer Science Vs Information Science Top Differences

Here are the differences between Computer Science and Information Science.

Computer Science


Computer scientists are, in fact, scientists. They are focused on the theory of computational applications.


That means they understand the “why” behind computer programs. Using algorithms and advanced mathematics, computer scientists invent new ways to manipulate and transfer information. Computer scientists are generally concerned with software, operating systems, and implementation.


Like Neo in The Matrix, computer scientists can see and make sense of code. Computer science students will learn the fundamentals of different programming languages, linear and discrete mathematics, and software design and development.


Computer scientists study the machine itself and understand how and why various computer processes operate the way they do.  



Information Science


To put it bluntly, computer engineers make computer parts work together. Computer engineers are responsible for the research, design, and development of computer equipment like circuit boards, microchips, routers, video cards, etc. Some universities may treat this discipline as an off-shoot of electrical engineering.


It is beneficial for computer engineers to have a grasp of computer science. Computer engineers often deal with hardware-to-software integration, meaning they have to design and build processors and hardware that can support a given program. 


As technology advances and our devices become smaller and smaller, the main goal of computer engineers is to create microchips and microprocessors that work economically and efficiently.


Computer engineering students will study concepts in computer science, engineering, and mathematics. 


By combining these three fields, computer engineers are able to solve hardware problems and create state-of-the-art machines that can handle the many tasks computers perform. 


Summary

In reality, both are different subjects, and computer science deals with software programs, and information science deals with hardware requirements to meet software applications requirements.

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