Develop a Custom Data Solution Architecture with NorthBay
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Amazon Web Services746 тыс
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20.10.16 – 8521:01:16Популярные
Опубликовано 19 октября 2016, 16:27
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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
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
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