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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
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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