From the traditional data warehouse to the integration of lake and warehouse, after more than 30 years of development, the wave of technology has rapidly iterated, and the era of modern data stack centered on cloud-native data warehouse has arrived.
The core reason behind this is that enterprises are accelerating towards digitalization and intelligence, and they have also put forward new requirements for data applications, especially for real-time analysis and real-time deployment of data. Cloud data warehouses provide users with cloud-native Business requirements such as intelligent operation and maintenance and flexible resources have also brought good support and become the key "base" in today's enterprise digital infrastructure.
This issue mainly invites experts from Volcano Engine to share key technologies, development directions, and best practices in the field of cloud data warehouses, bringing thoughts to practitioners in the data field.
Activity time:
June 20, 14:00-15:30
Activities:
Speech Topic 1: Demystifying the Technical Architecture and Best Practices of the New Generation Cloud Data Warehouse
Speaker: Aurora Volcanic Engine ByteHouse Senior Product Expert
abstract:
From the traditional data warehouse, to the integration of the lake warehouse and then to the cloud data warehouse, the technology is rapidly iterated, and the cloud data warehouse has become the key "base" in the digital infrastructure. Where is the advanced nature of cloud data warehouse? What are the core highlights of the ByteHouse cloud data warehouse version that originated from ByteDance? This sharing will introduce in detail:
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The Evolution and Development of Cloud Data Warehouse
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The overall architecture, product capabilities, and technical features of ByteHouse Cloud Data Warehouse
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Dismantling of core features: how to achieve separation of storage and computing, performance breakthrough, dynamic expansion and contraction, elastic expansion, etc.
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Typical cases and application scenarios of cloud data warehouse
Speech Topic 2: Analyzing the Best Practices of ByteDance Cloud Data Warehouse from "Three Landing Cases"
Speaker: Shi Chen, expert in volcano engine solutions
abstract:
Different industries and enterprises have different user scales and analysis requirements, and have different requirements for the performance, stability, and security of cloud data warehouses. In actual application scenarios, how can a cloud data warehouse product be implemented more smoothly and solve business problems? This sharing will focus on the following aspects:
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Introduce the cooperation cases of ByteHouse Cloud Data Warehouse in advertising, weather and other industries
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Sharing around the case business background, technical architecture, core features, performance indicators and benefits, etc.
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Summarize the experience and methods of cloud data warehouse project landing
Speech topic 3: Out of the box, five steps to quickly get started with ByteHouse Cloud Data Warehouse
Speaker: Aurora Volcanic Engine ByteHouse Senior Product Expert
abstract:
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Represented by ByteHouse, how to quickly get started with Cloud Data Warehouse
register now:
https://live.byteoc.com/7002/9954838
