When planning the evolution of big data architecture, The main focus of Big data is: business support, stability, security, cost control, efficiency, to create a solid foundation, powerful big data infrastructure and platform services, support data value and data empowerment, and help the company’s business high-quality growth. This talk will share the ongoing work of the Big data infrastructure team based on these goals: big data infrastructure and optimization based on Hadoop ecosystem and hybrid cloud, stability assurance, security assurance, big data cloud native, etc.

Speech outline:

1. background introduction

a. Introduction of HLL b. Introduction of Big Data in HLL

2. Infrastructure System 1.0

a. Big data security construction b. Stability construction c. Platform capacity construction d. Big data SRE architecture e. Compute engine architecture f. Storage architecture evolution

3. Infrastructure System 2.0

a. Cost reduction and efficiency b. Big Data Security

4. Future Outlook

You will gain:

Understanding the components of hybrid cloud-based architectures Understand the construction methods of typical big data infrastructure directions Understand the construction practices in the areas of storage computing, stability, data security, etc.

Speakers:

Wei-wei Zhang: Shenzhen Lala Technology Co., LTD, Head of big Data SRE, I am the person in charge of big data SRE, responsible for ensuring the stability of large-scale Hadoop cluster and related ecosystem, and participating in the construction of big data security system and cost control. I have years of experience in cross-cloud architecture system.