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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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SQL: 8 Frequently Used DATE Functions

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SQL Date functions
SQL DATE function for all Developers.

DATE Function is powerful in SQL. In SQL projects, people use this Function variety of ways.

All projects depends in DATE, and without it there is no way of existing of project. 

The Quick tour helps you use this function effectively. You can learn Oracle SQL step by step for all Developers.

Below is the list of SQL DATE functions
  • SYSDATE - It returns current local DATE and Time
  • CURRENT_DATE - Return local DATE and TIME and adjusted to current session Time Zone.
  • ROUND (DATE) - Rounds to nearest DAY
  • TRUNC (DATE) - Truncates Time
  • MONTHS_BETWEEN(date1,date2) - Returns number of months between date1 and date2'
  • LAST_DAY(DATE)- Returns last of the month
  • ADD_MONTHS(date,integer_months) - Adds specified number of months to specified date.
  • NEXT_DAY(date, day_of_week) - Returns to next day of the week that comes after the specified DATE
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