Explain advanced data lake and analytics pipeline architecture integrated with PHP systems.

Data lake architectures centralize massive-scale analytical data processing using distributed storage and streaming pipelines.

Operational databases are optimized for transactions, not large-scale analytics.

As businesses scale, analytical workloads require separate infrastructure.

Modern analytics architecture typically includes:

Applications emit telemetry and business events.

Kafka streams transport high-volume data.

Raw immutable storage. Examples:

Transform and enrich data.

Analytical query engines:

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