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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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Hadoop: How to Improve College a Mini Project

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This is based on my research of developing an engineering college using data analytics. This is a great subject that can be applied by all engineering aspirants in their final project. In my view it has dual benefits.

The one is for student they can gain lot of analytics knowledge and application to develop engineering college to keep it in the list of top colleges. The second is for Engineering colleges they can benefit to improve quality of education and to become one of the top colleges.

Hadoop: How to Improve College a Mini Project

Hadoop: How to Improve College a Mini Project



The project theme is data analytics:

There are total 2 parts:
  1. Use Hadoop technologies to study student database what they did in School level- This gives lot of insights on the Student interests. Approach each student and get some innovative ideas to improve the college
  2. Use Faculty database to get the skills and projects what they did in previous years. This helps to get right faculty for new innovative project
Basically the qualities of good engineering college you can be classified based on the below criteria.
  1. Infrastructure
  2. Lab facilities
  3. Transport facilities
  4. Practical oriented study
  5. Connection to industry
If the students find in their Hadoop project the improvements needed, then this can be showcase to industry. So that it improves industry connections. This is not only to one branch. This can be applied to any branch.

The areas where data analytics can be applied based on my research are

  • Good infrastructure
  • Best educational environment
  • Latest technologies used by the college
  • A better placement cell
  • Academic reputation of college
  • No. of accreditation college have
  • Placement percentage
  • No. of merit students
  • and so on....

So, the above are the key areas you can improve engineering college to get top rank.

The technologies for data analytics.
  1. Hadoop Platform
  2. Data base
  3. NoSQL database
  4. Presentation tool
Once you get the week areas, you will get a Chance to improve your college. So trail and error will take lot of time and it was possible in olden days.

Now a days you need technology and Tools. This is also a mutual benefit project.

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