Summit
Highly Recommended
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10:00-11:15, April 12th
Cloud native accelerates data lakes into the next level. It presents a new upgrade for service-oriented data storage, diversified data computing, and intelligent data management.
Global Data Lake Summit will present our integrated solutions and practices of data lakes across various industries and scenarios.
Highly Recommended
Speakers
10:00-10:08
Cloud Native Data Lake: Driving Agile Enterprise Innovation Opening Keynote
Yangqing Jia
VP of Alibaba Group, President of Computing Platform BU, Alibaba Cloud Intelligence
10:00-10:08
Cloud Native Data Lake: Driving Agile Enterprise Innovation Opening Keynote
Yangqing Jia, VP of Alibaba Group, President of Computing Platform BU, Alibaba Cloud Intelligence
10:08-10:18
Build Unified, Secure, and Intelligent Data Lake Governance System Data Lake Management
Ba Zhen
Product Lead of Open Source Big Data Team, Alibaba Cloud Intelligence
10:08-10:18
Build Unified, Secure, and Intelligent Data Lake Governance System Data Lake Management
Ba Zhen, Product Lead of Open Source Big Data Team, Alibaba Cloud Intelligence
10:18-10:31
Data Lake Storage: the Source Power of Digital Innovation Data Lake Formation, Data Lake Storage
Alex Chen
Fellow of Cloud Infrastructure, Alibaba Cloud Intelligence
10:18-10:31
Data Lake Storage: the Source Power of Digital Innovation Data Lake Formation, Data Lake Storage
Alex Chen, Fellow of Cloud Infrastructure, Alibaba Cloud Intelligence
10:31-10:42
Diverse Computing Integration in Unified Data Lake Architecture Data Lake Computing
Feng Wang
Alibaba Senior Director, Head of Open Source Big Data Platform, Vice-Chairman of Open Source Committee
10:31-10:42
Diverse Computing Integration in Unified Data Lake Architecture Data Lake Computing
Feng Wang, Alibaba Senior Director, Head of Open Source Big Data Platform, Vice-Chairman of Open Source Committee
10:42-10:58
Alibaba Data Lakehouse Best Practices Best Practices
Jans WEI
Chief Data Intelligence Architect, Alibaba Cloud International
10:42-10:58
Alibaba Data Lakehouse Best Practices Best Practices
Jans Wei, Chief Data Intelligence Architect, Alibaba Cloud International
10:58-11:04
Data Transformation Journey with Alibaba Cloud Best Practices
Foo Yeong Jin
Head of Data & Business Intelligence, Touch 'n Go Digital
10:58-11:04
Data Transformation Journey with Alibaba Cloud Best Practices
Foo Yeong Jin, TNG Digital Data Head
11:04-11:15
Panasonic Transformation: How Data Lakes Drive Enterprise Operations Best Practices
Lan Nangong
Manager of Data Analysis Section, Digital Innovation Department, Panasonic Electrician Information Instrument (Shanghai) Limited Company
11:04-11:15
Panasonic Transformation: How Data Lakes Drive Enterprise Operations Best Practices
Lan Nangong, Manager of Data Analysis Section, Digital Innovation Department, Panasonic Electrician Information Instrument (Shanghai) Limited Company
Developer
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Knowledge Base
Related Resources
Knowledge Base
What Is a Data Lake | Basic Architecture of a Data Lake
This article includes the following: 1. What is a data lake 2. Basic architecture of a data lake 3. Cloud-based data lake framework, the next article will introduce the difference between a data lake and a data warehouse.
Knowledge Base
Data Lake VS Data Warehouse
This article will analyze the difference between a data lake and a data warehouse, and introduce the new direction of the integration and evolution of the two - lake warehouse one.
Knowledge Base
How Alibaba Cloud Helps Build a New Cloud-Native Data Lake System
This article introduces how to combine Alibaba Cloud's basic services and rich computing engines to create a new cloud-native data lake system.
