What is the primary database utilized for Transaction Logs Analysis in Zscaler?

The primary database utilized for Transaction Logs Analysis in Zscaler is the Zscaler data lake. The data lake is designed to store vast amounts of raw data in its native format until it is needed for analysis. This structure is particularly beneficial for handling transaction logs, which can be massive and varied in structure. By utilizing the data lake, Zscaler can efficiently process and analyze large volumes of data over time, enabling deeper insights and facilitating more powerful analytics capabilities.

The other options, while related to data storage and management, serve different purposes within the Zscaler ecosystem. For instance, the Zscaler data warehouse is typically used for structured data analysis, allowing for fast query performance and analytics on fixed datasets, but it may not provide the same level of flexibility and scalability as a data lake for transient and unstructured data like transaction logs. The Zscaler data repository might refer to a more general collection of data, but it wouldn't be specifically optimized for the extensive and diverse nature of transaction log data. Lastly, the Zscaler analytics platform is likely a tool or interface for streaming insights and interpreting data, but it relies on underlying data structures like the data lake for comprehensive transaction log analysis.