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Showing 20 results · Page 11 for “process”. More results are available below.

Mini-lessons

CySA+ · Reporting and Communication

Metrics that matter: MTTD, MTTR, recurrence, coverage

…s how often the same issue comes back, which points at process gaps rather than one-off mistakes. Coverage measures what share of the asset inventory is actually being scanned or monitored, …

DATTO-RMM · Support and troubleshooting

Test a theory before changing the system

A useful troubleshooting process turns symptoms into a testable explanation. Establish what works, what fails and what changed, then choose a low-risk test that can distinguish likely causes…

DBT-AE · Data quality

Validate meaning as well as format

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…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…

DBT-ARCH · 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-CTX · 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…

DBX-CTX · 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…

DBX-DAA · 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 …

DBX-DAA · 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-DAA · 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…

DBX-DEA · 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 …

DBX-DEA · 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…

DBX-DEP · 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…

DBX-DEP · Streaming data systems

Event time and processing time can differ

… of order. Event time records when something happened; processing time records when the system handled it. Windowing and lateness rules determine how delayed events affect aggregates. Plan f…

DBX-GAI · 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…

DBX-GAI · 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…

DBX-MLA · 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…

DBX-MLA · 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…

DBX-MLP · 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…

DBX-MLP · 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…

DBX-SPARK · 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 …