大数据处理：推动Salesforce数据云的数据迁移

The tsunami of data — set to exceed 180 zettabytes by 2025 — places significant pressure on companies. Simply having access to customer information is not enough — companies must also analyze and refine the data to find actionable pieces that power new business.

数据海啸--到2025年将超过 180 zettabytes--给公司带来了巨大的压力。仅仅获得客户信息是不够的--公司还必须分析和完善数据，以找到可操作的部分，为新业务提供动力。

As businesses collect these volumes of customer data, they rely on Salesforce Data Cloud — a single source of truth for harmonizing, storing, unifying, and nurturing this information as it dynamically evolves over time. Consequently, businesses understand their customers’ needs better than ever — powering enhanced customer experiences.

当企业收集这些大量的客户数据时，他们依赖于Salesforce Data Cloud- 一个单一的真理源，用于协调、存储、统一和培养这些信息，因为这些信息会随着时间的推移而动态变化。因此，企业比以往任何时候都更了解其客户的需求，从而为增强客户体验提供动力。

Looking under the hood of Data Cloud reveals a couple key layers. The platform’s bottom-most layer, the storage layer, consists of a data lake that ingests petabytes of customer data. Above that lies a compute plane layer, which processes, massages, and interprets the big data — enabling the information to be segmented and activated.

在数据云的引擎盖下，可以看到几个关键层。该平台的最底层，即存储层，由一个数据湖组成，它接收PB级的客户数据。在这之上是一个计算平面层，它对大数据进行处理、按摩和解释--使信息能够被分割和激活。

Essentially the engine behind Data Cloud, this tier-zero fabric layer’s journey began with a complex data migration orchestration to Data Cloud’s data lake from Dataroma — Salesforce’s cloud-based marketing intelligence platform — leading to the creation of Data Cloud’s big data processing compute layer team in India.

从本质上讲，这个零层结构层是数据云背后的引擎，它的旅程始于从Dataroma（Salesforce基于云的营销智能平台）到数据云的数据湖的复杂数据迁移协调，导致在印度建立了数据云的大数据处理计算层团队。

Executing this task was massive as it involved multiple teams — who managed the migration orchestration effort? Say hello to Data Cloud’s compute layer team. The migration initially challenged them because they had no experience in big data processing. How did they successfully orchestrate the migration in mere months and then immediately launch their tier-zero layer to ...