Explain how you would implement a data pipeline for real-time analytics.

Pipeline architecture: 1) Data ingestion: Kinesis Data Streams, 2) Real-time processing: Kinesis Analytics or Lambda, 3) Storage: S3 data lake with partitioning, 4) Batch processing: Glue ETL jobs, 5) Analytics: Athena for ad-hoc queries, Redshift for data warehousing, 6) Visualization: QuickSight dashboards, 7) Monitoring: CloudWatch and custom metrics.