Watch our Big Data and Data Lake on AWS webinars on-demand and learn how you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. The content will cover AWS big data and analytics services, best practices for running your big data and analytics applications and building your data lake on AWS.


Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.

Speaker: Tom McMeekin, Associate Solutions Architect, Amazon Web Services

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AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. This session shares reference architecture, design patterns, and best practices for pulling together various AWS services to meet your big data challenges.

Speaker: Eng-Hwa Tan, Solutions Architect, ASEAN

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This session will share how to rapidly scale and build virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity, and variety of data. Learn more about AWS Big Data services and how to build a modern data architecture.

Speaker: Craig Stires, Head of Big Data and Analytics, APAC

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Using AWS to design and build your data architecture has never been easier to gain insights and uncover new opportunities to scale and grow your business. Join this workshop to learn how you can gain insights at scale with the right big data applications.

Speaker: Surawut Phornthabthong, Solutions Architect, Thailand

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Watch our Big Data and Data Lake on AWS webinars on-demand and learn how you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. The content will cover AWS big data and analytics services, best practices for running your big data and analytics applications and building your data lake on AWS.

Speaker: Surawut Phornthabthong, Solution Architect, Thailand

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