Petabyte-Scale Big Data Infrastructure
Design, optimize, and orchestrate fault-tolerant data pipelines that turn massive real-time streams into immediate operational fuel without spiraling cloud costs.
Resilient Big Data Capabilities
Modern enterprises require continuous real-time telemetry, not overnight batch jobs that fail silently.
Medallion Lakehouse Architecture
Structure your enterprise data into governed Bronze (raw ingestion), Silver (cleaned & enriched), and Gold (business aggregates) layers with ACID guarantees.
Real-Time Streaming Pipelines
Ingest and process millions of concurrent sensor, clickstream, and financial events per second using Apache Kafka, Apache Flink, and Spark Streaming.
Automated Data Governance & Lineage
Enforce strict column-level encryption, role-based access control, GDPR/CCPA data retention policies, and automated end-to-end data lineage tracing.
Cloud Migration & Cost Optimization
Transition expensive legacy on-premises Hadoop/Teradata clusters to elastic cloud lakehouses (Snowflake, Databricks) while reducing monthly infrastructure spend by up to 60%.
The Enterprise Medallion Standard
Bronze Layer • Raw Stream
Immutable, append-only landing zone capturing IoT sensors, CDC event logs, and external API feeds with zero payload alterations for full auditability.
Silver Layer • Cleaned & Enriched
Filtered, cleansed, deduplicated, and conformed schema representations. Joined with master enterprise dimensions and validated against Great Expectations rules.
Gold Layer • Business Aggregates
High-performance star schemas and feature stores optimized for sub-second executive queries, machine learning inferencing, and customer-facing BI dashboards.
Petabyte-Scale Real-Time Telemetry Lakehouse for Global Logistics
ArtiMozo architected an end-to-end lakehouse streaming 1.4 billion telemetry pings per day across 80,000 international transit containers. Query turnaround dropped from 4 hours to 180 milliseconds, cutting monthly cloud compute expenditures by 42%.
Frequently Asked Questions
Clear answers regarding our big data architectures, cost management, and cloud migration frameworks.
How does ArtiMozo prevent runaway compute costs on modern lakehouse platforms?
We implement rigorous auto-suspend policies, optimized partition keys, automated clustering, and query profiling. In addition, we separate hot operational storage from cold archive tiers.
Can we migrate our existing on-prem data without taking business operations offline?
Yes. We design dual-write and Change Data Capture (CDC) streaming architectures (using Debezium or AWS DMS) that run concurrently with your legacy systems until complete parity is validated.
Which cloud ecosystems do you support?
We are cloud-agnostic. We build and maintain production systems across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and sovereign hybrid on-prem Kubernetes clusters.
Scale Your Data Architecture With Confidence
Schedule an architectural review with our principal distributed systems engineers today.