If your data management architecture is distributed ... are terms used when data pipelines or streams transform data in their process flow without storing the resulting data.

This is where data engineering steps in. Data engineering enables a business to prosper by monetizing the myriad of revenues ...

The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

Facing an existential crisis, enterprise architecture ... to flow seamlessly across the organization. According to Dharani Pothula, “Enterprise architects need to establish robust data pipelines ...

In this modern era, Cloud-native ETL pipelines are transforming how organizations manage and analyze data in real time. With a focus on scalability, automation, ...

Manage data pipeline orchestration and workflows across multiple deployments. Develop data integration architecture in multicloud deployment. Adopt data observability practices to deliver trusted ...

Complex data pipelines ... streamlined architecture, full vectorized engine, cost-based optimizer (CBO), and modern materialized views. Diving deeper into what StarRocks can provide, Shen began to ...

One company looking to harness the deluge of observability data into a manageable stream is Mezmo, formerly known as LogDNA. The company recently unveiled its new Observability Pipeline, a solution ...