Approach

Through a set of exploratory workshops with all involved stakeholders, Adastra’s solution begins with identifying your organization’s data strategy, cloud maturity, environment, and analytics requirements. Based on the findings, we design the cloud data warehouse solution that your business needs and build a roadmap that outlines how the cloud data warehouse serves more and more users across your organization. Our team of experts designs a solid and scalable solution for your cloud data warehouse, based on global best practices, and chooses the right AWS services for the job. All your source data is integrated and loaded in the cloud data warehouse, with all jobs fully automated and orchestrated to achieve minimum processing times.

Activities

• Conduct a series of exploratory workshops to get acquainted with your organization’s data strategy and long-term plans.
• Capture all source systems characteristics and interface specifications.
• Gather all reporting requirements from your organization’s teams.
• Create a high-level design of the solution, making sure it integrates well with the existing environment, while taking into consideration the possibility of future cloud migrations.
• Create an end-to-end implementation plan, defining scope, timelines, milestones, and deliverables.
• Adastra will reuse and adjust your available DWH model, or create a custom-tailored model which will take into consideration any limitations or inefficiencies you’ve had with your current one.
• Adastra’s team will establish all necessary, cloud-based infrastructure and security mechanisms.
• Implement data pipelines to profile and ingest data from any identified source.
• Configure CI/CD pipelines to automate to a great extent testing and deployment.
• Build the visualization layer using either AWS QuickSights or any other supported BI tool.
• Deliver detailed technical documentation which will allow your team to run the cloud data warehouse.
• Conduct knowledge transfer and training sessions, making sure all technical and business users are well-acquainted with the delivered solution and reports.

Deliverables

• Established end-to-end development, testing and production AWS environments
• A custom-tailored DWH model
• Visual reports – re-engineered entirely or repointed to the new Redshift DWH
• End-to-end scheduled and orchestrated processes
• Automated testing and deployment processes
• Technical documentation and operations manual

Outcomes

• Performance - get faster time-to-insight for all types of analytics workloads. Dynamically scale up to guarantee performance even with unpredictable demands and data volumes.
• Cost - lower total cost of ownership starting from $0.25 an hour.
• Next-generation analytics - create, train, and apply machine learning models on your Redshift data using only SQL and leveraging AWS Redshift’s ML feature.
• Backup and disaster recovery - Redshift continuously creates backups of your data in AWS S3 and asynchronously creates copies of it in different regions for disaster recovery.
• Security - secure all workloads leveraging Redshift’s end-to-end encryption and integration with AWS’s Key Management Service.
• Flexibility - create a data mesh and combine your structured data with any semi-structured or unstructured data in your data lake.