EndorsedendorsedOngoing

AWS Data Lakehouse Architecture and Engineering for InnVest Hotels

Services Covered:

Cloud Consulting and ServicesAI and Machine Learning
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Industry
Industry

Hospitality, Travel & Tourism

Duration
Duration

39 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 May 2023

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
85/100
Strong

Project Capability Score (PCS) estimates how capable Lineate is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

InnVest Hotels

mapToronto, Canada

Project Summary

Lineate helped InnVest Hotels develop a data lake house in the AWS environment, focusing on data architecture and engineering and providing data visualization. The engagement began in May 2023 and is ongoing; the client reports completing about 80% of the initial plan while remaining under budget. Communication is managed using Agile, Jira, and Microsoft Teams.

Key Challenges

  • Break down data silos and consolidate data to serve departments more efficiently.
  • Lack of in-house capability for data architecture and engineering.

Project Deliverables

  • Data lake house in AWS
  • Data architecture and engineering
  • Data visualization deliverables
  • Planned maintenance services

Project Solution

Lineate developed the client's data lake house in the AWS environment, identified critical data sources to onboard, and established the lakehouse architecture. Their primary work focused on data architecture and engineering, with some data visualization delivered. The team included data architects, solution architects, QA specialists, a project lead, sales support, and a data director, and Lineate follows Agile practices and Jira for sprint tracking.

Project Outcome

  • Accomplished 80% of the initial project plan while remaining under budget.
  • Proactive, high-quality work with few AWS alerts and responsive team members.

Platforms

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The client has accomplished 80% of their initial project plan, and everything is under budget control. Lineate has a proactive team that treats the work seriously. They implement whatever they learn from other projects and proactively communicate their concerns, resulting in a smooth collaboration.

Frank Jiao

Manager Data Science & Analytics

Note: This endorsement is based on publicly available client feedback from external review sources.