DataOps

Evolve Your Data Foundation

Metadata Layer

The metadata layer forms the backbone of any DataOps implementation. It serves as a single source of truth cataloging all data assets, their raw and transformed states, relationships, quality measures and access permissions. Maintained through automated capture and curation, the metadata store powers critical functions like impact analysis, governance, discovery and documentation.

Streaming Pipelines

Streaming pipelines use real-time data ingestion and continuous analytics technologies. This allows for datasets to remain updated in near real-time as new events occur. Implemented using distributed stream processing frameworks like Apache Kafka and Apache Spark Streaming, these workflows extract value from new data with minimal latency.

Batch Processing

While streaming meets real-time needs, batch workflows still play an important role in consolidating vast amounts of data over defined intervals. Using scheduling tools, these batched ETL/ELT jobs populate data warehouses for historical reporting/analysis, train machine learning models, and handle intensive operations like joins, cleaning and aggregations.

Automation Platform

An automation platform forms the connective fabric empowering DataOps teams to develop, test, release and manage all data workflows programmatically and at scale. It provides self-service configuration, monitoring, pipeline execution and dependencies through integration tools, version control, APIs and serverless computing.

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Faster Insights

Our automated pipelines and optimized infrastructure allow you to ingest, process and analyze massive amounts of data at high velocity. This enables timely visibility to recognize emerging trends, identify opportunities, and make critical decisions to impact the bottom line.

Reduced Costs

Using cloud-native technologies and built-in automation, we centrally manage distributed data workloads elastically scaling up or down as needed. Careful tracking prevents wasted spending on unnecessary overprovisioning. Streamlined operations also free internal resources for higher priorities.

Consistent Operations

Dedicated DataOps professionals ensure your systems run smoothly with proactive monitoring and rapid issue resolution. Standards embedded across collaborative dev-test-prod workflows guarantee continuous delivery of features without disruptions. Team augmentation provides reliable support.

Compliant Platform

Governance embedded into our tools and processes maintains security, privacy and regulatory compliance as your needs evolve. Centralized change logging and permissions management create transparency satisfying external audits without burdening business users.

DataOps

Evolve Your Data Foundation

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