05/11 2021

[Nextlink Seminar]-Best Practices for Building Data Lake on AWS

Data Lake on AWS

Organizations are awash in data like never before in the era of Big Data. Traditional data management platforms are no longer adequate for today’s businesses which require a more agile and flexible data storage and analytics solution. With cloud computing services, powerful big data analytics solutions are available to the masses and creating a data lake has never been easier. With low storage cost and on-demand compute, cloud data lake can load, store, and analyze volumes of data at scale, providing timely insights to business. AWS provides organizations quick access to scalable and low-cost data analytics tools. With AWS Data Lake, data discovery can be quick and easy. Being able to uncover insights faster also means you can act upon opportunities for business growth faster. Join our Data Analytics Specialist to learn how AWS data solutions can help you develop a scalable data lake to run any type of analytics, and to maximize data’s value and privacy, while minimizing data liability.

Reasons to attend

  • Discover how you can quickly build and scale your data lake with AWS.
  • Learn about AWS Well-Architected Framework behind a successful data lake implementation.
  • Learn how to use the Amazon Simple Storage Service (S3) as a foundation for your data lake.
  • Learn how to blend disparate data sources to create valuable insights

Event Details

  • Date: 11/06/2021 (Friday)
  • Time: 2:30pm – 3:30pm
  • Venue: 46/F, Lee Garden One, 33 Hysan Avenue, Causeway Bay, Hong Kong
    (Webinar access will also be provided to audience)
  • Language: Cantonese


  • Kevin Ng
    Partner Solutions Architect, AWS Hong Kong
  • Alex Mok
    Solutions Architect, Nextlink


2:30pm-2:35pmIntroduction of Nextlink and AWSNextlink
2:35pm-2:45pmDiscuss trend of adopting Data Lake in data-driven companiesAWS & Nextlink
2:45pm-2:55pmOverview of AWS Data Lake related servicesAWS
2:55pm-3:10pmDiscuss the strategy on hydrating and consuming AWS Data Lake through Reporting, Analytics, and Machine LearningNextlink
3:10pm-3:25pmLive DemoNextlink
3:25pm-3:30pmQ&A, follow up and endingAWS & Nextlink