spiralmantra
04-01-2025, 07:12 AM
Building a highly scalable and efficient data pipeline requires strategic architecture design, automation, and monitoring. Spiral Mantra specializes in developing robust data pipeline architectures using cutting-edge cloud and open-source tools.
Key Considerations for Scalable Pipelines:
ETL vs. ELT – Choosing the right data processing approach based on latency and cost constraints.
Parallelization & Partitioning – Using Apache Spark, Snowflake Clustering, and BigQuery Partitioning for performance optimization.
Incremental Data Processing – Implementing Change Data Capture (CDC) techniques to avoid full refresh overhead.
Data Lakehouse Strategy – Leveraging Delta Lake, Iceberg, and Hudi for structured and unstructured data processing.
Monitoring & Observability – Utilizing Datadog, Prometheus, and OpenTelemetry for real-time monitoring.
Need an enterprise-grade data pipeline? Spiral Mantra builds cost-effective, scalable architectures for modern analytics.
Key Considerations for Scalable Pipelines:
ETL vs. ELT – Choosing the right data processing approach based on latency and cost constraints.
Parallelization & Partitioning – Using Apache Spark, Snowflake Clustering, and BigQuery Partitioning for performance optimization.
Incremental Data Processing – Implementing Change Data Capture (CDC) techniques to avoid full refresh overhead.
Data Lakehouse Strategy – Leveraging Delta Lake, Iceberg, and Hudi for structured and unstructured data processing.
Monitoring & Observability – Utilizing Datadog, Prometheus, and OpenTelemetry for real-time monitoring.
Need an enterprise-grade data pipeline? Spiral Mantra builds cost-effective, scalable architectures for modern analytics.