Data Processing Document Metadata Metrics 
datapine
SEPTEMBER 29, 2022
6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports.
AWS Big Data
FEBRUARY 27, 2024
OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post.
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AWS Big Data
JANUARY 9, 2024
Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.
AWS Big Data
MARCH 7, 2024
ISM policies let you automate these periodic, administrative operations by triggering them based on changes in the index age, index size, or number of documents. For a list of supported metrics, refer to Monitoring pipeline metrics. ISM policies within OpenSearch Service handle index rollovers or deletions.
Cloudera
FEBRUARY 17, 2022
Before proceeding with the upgrade, review the CDP Private Cloud Base prerequisites as specified in the documentation. Finally we also recommend that you take a full backup of your cluster configurations, metadata, other supporting details, and backend databases. The end-to-end process is relatively straightforward and well documented.
Octopai
AUGUST 30, 2020
Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. We call this feature: Expand. Column-to-column lineage.
AWS Big Data
MAY 2, 2023
If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data.
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