To meet the challenges of harnessing business insights from vast amounts of data, your data warehouse needs to be scalable, easy to set up, and easy to leverage analytics. It also needs to be machine learning capable and able to analyse all your data. In this session, you’ll gain a comprehensive understanding of how to meet the challenges of modern data warehousing. By the end, you’ll be well-equipped to construct a scalable, analytics-ready DWH in the cloud. Join us for a demo to ensure you’re on the path to unlocking valuable business insights from your data.
Agenda:
•Explosion of data growth
•Modern Data Warehouses
•Lakehouse to the rescue
•Putting everything together
•… and action!
Agenda:
•Explosion of data growth
•Modern Data Warehouses
•Lakehouse to the rescue
•Putting everything together
•… and action!
Dimitrios Papageorgiou
Amazon Web Services
I am a cloud solutions architect working closely with customers to support them during their cloud journey. I design scalable, robust and secure systems ready to support global markets and help customers achieve their goals. Beforehand, I was tweaking, writing and improving the code of large performant back end systems, either as a software engineer or a team lead (java is still my passion). Apart from work I enjoy running in the country side or playing with my dog.
Konstantina Mavrodimitraki
Amazon Web Services
I am a cloud solutions architect working closely with customers to support them during their cloud journey. I work backwards with the customers and help them design and built data platforms in the cloud and deliver valuable data products. Prior to that, I have been working in the IT industry for 13 years working with data analytics projects. I have designed and built DWHs, big data platforms and ETL solutions cross industries from financial institutions to telcos and EU institutions. Apart from work I enjoy playing with my dog and I love travelling.