Develop a Custom Data Solution Architecture with NorthBay

Learn more about Big Data on AWS here –
Organizations that have vast amounts of data in legacy applications often experience difficulties delivering that data to business unit end-users. Register to learn how Eliza Corporation and Scholastic overcame this challenge by leveraging a Data Lake solution from NorthBay on AWS to optimize data analytics and provide greater visibility. AWS and NorthBay will give you an in-depth overview of how you can use a Data Lake in conjunction with your existing on-premises or cloud-based Data Warehouse. NorthBay helps organizations scale their ETL and data warehousing workloads using Amazon EMR and Amazon Redshift.

Join us to learn:
• Best practices for using a Data Lake in conjunction with your existing data warehouse
• The key aspects of introducing agile and scrum methodologies into an enterprise
• The most impactful cost-savings levers that are addressed via a cloud data warehouse migration

Who should attend: Heads of Analytics, Heads of BI, Analytics Managers, BI Teams, Senior Analysts

via Amazon Web Services

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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