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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

MongoDB and HCL on Bigdata


MongoDB and HCL Infosystems have announced a global partnership which will allow HCL Infosystems to further broaden its solution offerings in the emerging big data segment by developing services around MongoDB.

Commenting on the partnership, Kamal Brar, Vice President APAC, MongoDB, said: "Big Data is more than just addressing increasing volume; organizations need solutions that can manage increasing data variety and velocity. Today, businesses need to quickly ingest, store, and access useful information from massive pools of multi-structured data.This is where MongoDB excels. HCL Infosystems will offer innovative solutions and services for organizations to gain value from their data and make smarter and faster business decisions. Partnering with HCL will further strengthen our footprint globally."

Since its inception MongoDB has collaborated with organizations worldwide and now has a thriving global community. Common MongoDB use cases include single view, Internet o ..

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