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Raks Khare

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Articles

Standardize Amazon Redshift operations using Templates | Amazon Web Services

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By Nidhi Nayak, Raza Hafeez, Raks Khare
| Amazon Web Services
AWS Big Data Blog Over the past year, Amazon Redshift has introduced capabilities that simplify operations and enhance productivity. Building on this momentum, we’re addressing another common operational challenge that data engineers face daily: managing repetitive data loading operations with similar parameters across multiple data sources.
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Amazon Redshift Python user-defined functions will reach end of support after June 30, 2026 | Amazon Web Services

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By Raks Khare, Harshida Patel, Ritesh Sinha, Yanzhu Ji
| Amazon Web Services
The Amazon Redshift integration with AWS Lambda provides the capability to create Amazon Redshift Lambda user-defined functions (UDFs). This capability delivers flexibility, enhanced integrations, and security for functions defined in Lambda that can be run through SQL queries. Amazon Redshift Lambda UDFs offer many advantages: Enhanced integration – You can connect to external services or APIs from within your UDF logic, enabling richer data enrichment and operational workflows.
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Amazon Redshift announces history mode for zero-ETL integrations to simplify historical data tracking and analysis | Amazon Web Services

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By Raks Khare, Jyoti Aggarwal, Gopal Paliwal, Harman Nagra
| Amazon Web Services
In the ever-evolving landscape of cloud computing and data management, AWS has consistently been at the forefront of innovation. One of the groundbreaking developments in recent years is zero-ETL integration, a set of fully managed integrations by AWS that minimizes the need to build extract, transform, and load (ETL) data pipelines.
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