Overview
Approach
- Planning and analysis: Evaluating current environment and requirements to understand the data end-to-end
- Gathering data: Leveraging customer data and integrating external sources into AWS Glue pipelines
- Constructing data pipelines: Using AWS Glue to develop pipelines for data extraction, transformation, and loading
- Modelling the data: Structuring the data according to usage needs
- Configuring AWS Glue jobs: Scheduling and monitoring data integration pipelines
- Building reports and dashboards: Designing and deploying customer dashboards with Amazon QuickSight or a client preferred BI tool
Activities
- Setting up the environment to support Glue and Amazon QuickSight
- Building end-to-end data pipelines using AWS Glue
- Optimizing data ingestion into the necessary data stores
- Designing vital dashboards and reports with Amazon QuickSight or other BI tools
- Examining and validating data visualizations
Deliverables
- Secure environment to support the PoC project
- Comprehensive design of data architecture and models
- Constructed ETL pipelines with AWS Glue
- Configured AWS Glue jobs to monitor and regulate data flows
- Dynamic dashboards and reports data visualization and analysis
- Detailed documentation of all work performed
Outcomes
- Customers will have an optimized end-to-end data pipeline solution in AWS.
- Customers will benefit from: quick turnaround time to launch PoC, ease of scalability and synergy of AWS services.
- Customers will be able to experience their data visualizations in the dashboards.
- Overall, customers will have a comprehensive view of their data.
Sold by | Adastra Corporation |
Categories | |
Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
Adastra offers a myriad of solutions from Cloud Migration and Analytics to Data Science and Governance as an Advanced Consulting Partner of AWS, including but not limited to:
Data Discovery & Analytics Data Quality Artificial Intelligence Machine Learning Data Lake Build Data Engineering
Learn more about Adastra: https://www.adastracorp.com/
Contact us today for a review of your requirements awsmarketplacesales@adastragrp.com