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Software Development
Amazon S3, AWS Glue, Amazon Redshift, Amazon Quicksight, AWS Lambda, Amazon API Gateway, Amazon CloudWatch
Low Latency Data Transformation and Visualization with AWS Glue, Lambda, and QuickSight
RedoQ is a boutique outsourcing company offering a full range of customized software, web, and network solution services for various verticals and business domains. RedoQ is a leading company in the United Kingdom that serves clients around the globe, including the UK and other countries. They deal with various dynamic operations that help to evolve in the organizations long run. At RedoQ, they build custom web, mobile, and cross-platform solutions that keep you one step ahead of the competition
Query performance boost
Restricted access ensured
Processing gigabytes data
RedoQ encounters a critical challenge in optimizing its operations and strategic decision-making due to the absence of enhanced data warehouse solution. With its diverse clientele, RedoQ faces limitations in leveraging its data effectively. The lack of Business Intelligence (BI) tools and analytics infrastructure hampers their ability to extract valuable insights from their data. It is partnered with CloudThat to implement an AWS-based Data Warehouse using Amazon Redshift.
• Utilized AWS Glue jobs and crawlers to seamlessly migrate data from RDS Aurora MySQL and MongoDB Atlas into Amazon Redshift.
• Optimized ETL processes to handle the migration of 10 tables, each containing 20-25 columns, ensuring data integrity and efficiency, given the total data size of 25 GB.
• Leveraged Amazon Redshift as the primary data warehousing solution, chosen for its scalability and performance benefits, essential for efficiently processing large data volumes.
• Implemented daily data pushes from Amazon Aurora to Amazon Redshift to maintain up-to-date analytics and reporting capabilities.
• Utilized Amazon QuickSight’s to create interactive and visually appealing dashboards tailored to RedoQ’s food delivery and restaurant business segment.
• Implemented materialized views in Amazon Redshift to optimize query performance and reduce latency in dashboard generation.
• Employed AWS Lambda functions to convert materialized views into JSON format, ensuring efficient data transmission to client applications.
• Deployed the solution in the Europe (London) AWS region to minimize latency and comply with data residency requirements
Amazon Redshift enhanced query performance by 30-50%, improved data security, efficiently executed complex queries, integrated diverse datasets for visualization, and provided scalable data processing for BI dashboards, complemented by deep insights from Amazon QuickSight.
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