Dominion Enterprises - Leading Online Marketing & Software Company
The Director of IT Architecture at Dominion Enterprises required a streaming data analytics solution built on AWS that could incorporate multiple data sources to better fulfil the rapidly growing demands of the company's internal business unit’s 2017 revenue goals. To do so, the customer required the expertise of a cloud and big data partner experienced with AWS big data architecture, Advanced Analytics and best practices. As an AWS Big Data Competency holder, Relus Cloud was selected to design and configure a streaming big data analytics product on AWS.
As the leading online marketing and software company, the company saw a unique opportunity to integrate multiple data sources into AWS. AWS offered agility and depth of services unmatched by other cloud-based providers. With a streaming data analytics solution, the company was able to load multiple data sources into AWS infrastructure tools including Kinesis from S3 and RDS and validate, transform, and post metrics to RedShift and RDS. Building a highly scalable data lake solution enabled multiple machine learning and advanced analytics use cases.
Relus Cloud performed a full platform assessment of the company's existing data analytics environment to inform the reference architecture design for a future proof streaming solution based on AWS. The consulting deliverables included AWS environment diagrams and design, documented processes for inputs, Spark process diagram, Spark MLLib based Machine Learning models, documentation for outputs, Redshift schema and process documentation, and Data Pipeline documentation. These deliverables included diagrams & documentation, all scripts/source code, and a training workshop. Relus Cloud leveraged several AWS services, including Redshift, EMR, RDS, Elasticsearch, CloudWatch, SNS, CloudFormation, CloudTrail, VPC, and S3.
The newly built architecture allowed the company to incorporate new data sources, provided the company an introduction to the power and value of EMR and Redshift, and delivered the company a production ready streaming analytics solutions that can be extended to additional data sources.