Speaker Profile


Gogula Aryalingam Sri Lanka

Senior Architect - Data Analytics - Fortude

Number of Speeches : 12

Data Platform MVP since 2008.


Gogula Aryalingam


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All Speeches

Azure Data Factory: Ingesting and Integrating Data for a Modern Data Warehouse

August 31, 2019

SQLSaturday #893 - Singapore

When you build a business intelligence system for the current times, such as a modern data warehouse, the mantra for getting data onboard is ELT, and not ETL. Building an ELT solution is not as simple as switching two letter; it is a paradigm shift in thinking. In this session, I will brief you on the concept of a modern data warehouse, then move to why its data integration needs are different, ho....See More


Azure Data Lake Analytics: Leveraging the Modern Data Warehouse

May 26, 2018

SQLSaturday 712 - South Island NZ

What you feared has come upon you: You’ve been happily building business intelligence solutions the traditional way for years; Finally, the big data curse has caught up with you. Your organization wants to exploit their big data along with their day-to-day transactional data. You are now tasked with storing all this in one place and working your analytics magic on it. You start wondering how and w....See More

BI's a Journey, Not a Destination

March 10, 2018

DataCamp 2018

With analytics becoming a buzzword in the recent past, everyone seems to want it in their businesses. Known as business intelligence for a long time, it helps an organization’s various decision makers take better business decisions using the insights that is provided. However, the path to a successful business intelligence implementation was always hounded by failure – The main reason being that B....See More

Azure Data Lake Analytics: Leveraging the Modern Data Warehouse

January 13, 2018

SQLSaturday #702

What you feared has come upon you: You’ve been happily building business intelligence solutions the traditional way for years; Finally, the big data curse has caught up with you. Your organization wants to exploit their big data along with their day-to-day transactional data. You are now tasked with storing all this in one place and working your analytics magic on it. You start wondering how and w....See More