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EndorsedendorsedOngoing

AWS Enterprise Data Lake Implementation for Media Company

Services Covered:

Big Data Analytics and Business Intelligence • Cloud Consulting and Services • Solution Architecture
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Industry
Industry

Media

Duration
Duration

112 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 April 2017

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
70/100
Good

Project Capability Score (PCS) estimates how capable ThirdEye Data 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

Confidential

mapSeattle, United States of America

Project Summary

ThirdEye Data implemented an AWS-based enterprise data lake for a media company, using Apache Spark and hybrid compute clusters. The engagement centralized information storage and eliminated silos, improving data analysts' productivity and reducing analysis time from months to days. The vendor provided strong technical guidance and maintained clear communication using Scrum.

Key Challenges

  • Needed to move from a SQL Server BI stack to an enterprise data lake
  • Lacked internal capabilities to configure and implement a data lake

Project Deliverables

  • AWS-based enterprise data lake
  • Persistent Apache Spark compute clusters
  • Centralized data integration from multiple silos/databases

Project Solution

Built an AWS-based enterprise data lake and configured persistent Apache Spark compute clusters. Centralized data from multiple silos and databases into a single repository using hybrid technologies. Provided on-site project leadership (project manager and architect) alongside 6–8 offshore resources and operated under Scrum.

Project Outcome

  • Centralized information storage eliminated data silos
  • Reduced analysis time from months to weeks or days
  • Improved data analyst productivity
  • Strong communication and Scrum-based project management

Platforms

  • CloudCloud

Tech Stack

  • Apache SparkApache Spark
  • Apache HadoopApache Hadoop
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • SQLSQL

Client Endorsement

Overall Review Rating

4.38star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The new data lake has centralized information storage, making silos obsolete and allowing the internal team to quickly analyze data. ThirdEye Data drew from their strong technical knowledge to select the ideal tech stack. Clear communication facilitated a smooth workflow.”

Anonymous

Manager of Enterprise Data Services

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

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