Remove Accessible Remove ETL System Remove Webinar
article thumbnail

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists. Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. What do Data Engineers Do?

article thumbnail

61 Data Observability Use Cases From Real Data Teams

Monte Carlo

With these bottlenecks and a lack of accessibility to—and therefore trust in—the data, many data consumers found workarounds by simply querying the source data directly. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

Data 52
article thumbnail

61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

With these bottlenecks and a lack of accessibility to—and therefore trust in—the data, many data consumers found workarounds by simply querying the source data directly. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.