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Showing 20 results · Page 12 for “process”. More results are available below.

Mini-lessons

DBX-SPARK · Data quality

Validate meaning as well as format

…ere data enters and changes. Investigate the producing process so recurring defects are corrected at their source instead of repeatedly cleaned in reports. Worked example Customer birth date…

DBX-SPARK · Databricks lakehouse concepts

Improve data quality through explicit layers

… folder name. Preserve enough source context to replay processing and diagnose errors. Transactional table features help manage changes, while pipeline design still determines how duplicates…

DCA · Container fundamentals

An image is a template; a container is an instance

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…les and runtime dependencies. A running container adds process state and a writable layer, while sharing the host kernel through isolation mechanisms. Keep durable data outside disposable co…

DCA · Docker operations

Keep persistent data outside disposable containers

…irm the application works, not simply that a container process exists. Worked example A container exits immediately. Which command retrieves its captured output? docker logs Container logs e…

DP-100 · Machine-learning engineering

Prevent leakage across the training boundary

…respects time and related entities, and fit learned preprocessing only on the appropriate training data. Reproduce the serving inputs during evaluation. An unusually strong score deserves in…

DP-100 · Statistics and measurement

A sample estimate includes uncertainty

…ample to reason about a wider population. The sampling process matters as much as sample size: a large biased sample can remain misleading. Consider distribution, variation and measurement q…

DP-420 · Identity and access

Authentication and authorization answer different questions

…s access to the previous team's sensitive files. Which process failed? Access review during the mover lifecycle Joiner, mover and leaver processes must update access as responsibilities chan…

DP-700 · Data pipeline design

Design pipelines for recovery and replay

…nts. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Track source identity and transformation versions for traceability. Validate …

DP-700 · Data quality

Validate meaning as well as format

…ere data enters and changes. Investigate the producing process so recurring defects are corrected at their source instead of repeatedly cleaned in reports. Worked example Customer birth date…

DP-750 · Data pipeline design

Design pipelines for recovery and replay

…nts. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Track source identity and transformation versions for traceability. Validate …

DP-750 · Databricks lakehouse concepts

Improve data quality through explicit layers

… folder name. Preserve enough source context to replay processing and diagnose errors. Transactional table features help manage changes, while pipeline design still determines how duplicates…

DP-750 · Machine-learning engineering

Prevent leakage across the training boundary

…respects time and related entities, and fit learned preprocessing only on the appropriate training data. Reproduce the serving inputs during evaluation. An unusually strong score deserves in…

DP-800 · Identity and access

Authentication and authorization answer different questions

…s access to the previous team's sensitive files. Which process failed? Access review during the mover lifecycle Joiner, mover and leaver processes must update access as responsibilities chan…

DP-900 · Describe core data concepts

Batch vs streaming: scheduled bulk vs continuous events

Batch processing collects data over a period and processes it in one run, such as a nightly load of the day's sales files. It is efficient for large volumes and complex transformations but r…

DP-900 · Describe an analytics workload on Azure

ETL vs ELT: where the transformation runs

Extract, Transform, Load cleans and reshapes data in a processing engine before writing it to the destination, keeping the target tidy but requiring separate compute. Extract, Load, Transfor…

DP-900 · Describe an analytics workload on Azure

Streaming on Azure: Event Hubs in, Stream Analytics on top

Real-time analytics needs an ingestion service and a processing engine. Azure Event Hubs ingests millions of events per second from applications and is Kafka-compatible; Azure IoT Hub does t…

Data+ · Data quality

Validate meaning as well as format

…ere data enters and changes. Investigate the producing process so recurring defects are corrected at their source instead of repeatedly cleaned in reports. Worked example Customer birth date…

Data+ · Statistics and measurement

A sample estimate includes uncertainty

…ample to reason about a wider population. The sampling process matters as much as sample size: a large biased sample can remain misleading. Consider distribution, variation and measurement q…

DataAI · Data pipeline design

Design pipelines for recovery and replay

…nts. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Track source identity and transformation versions for traceability. Validate …

DataAI · Data quality

Validate meaning as well as format

…ere data enters and changes. Investigate the producing process so recurring defects are corrected at their source instead of repeatedly cleaned in reports. Worked example Customer birth date…