Plan, Design and Build a Successful Data Lake on AWS
Data lakes are a popular approach for organizations to break down data silos and make data accessible to their users in a secure manner. There are also numerous ways a company can build a data lake to fit their business needs. However, there are just as many ways to fail. In this session, you will learn from the journey of others how to best plan, design and build a successful data lake that will scale and evolve as your business needs and demands increase.
Roy Hasson is a Worldwide Analytics Specialist leader at Amazon Web Services, where he helps transform organizations using data, analytics and machine learning. Roy serves as an expert advisor to customers across all industries to transform their business and become a data-driven organization by building a cloud-native modern data architecture on AWS. He is also a product leader driven by the voice of the customer to guide the development of new innovative services and user experiences for AWS. Prior to AWS, Roy spent 15 years working with tier-one service providers to design and deploy large-scale data systems used to serve today’s cable modem, voice over IP and wireless data services.
Ready to Get Started? Here Are Some Resources to Help
What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.read more
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.read more