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Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

One the major advantages of using the _reindex operation is that it doesn’t require placing the source index in a read-only mode (data producers may continue to write the data while reindexing is in progress). With the _reindex operation, you can copy all or a subset of documents that you select through a query to another index.

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What is a KPI Report? Definition, Examples, and How-tos

FineReport

Key Performance Indicators (KPIs) serve as vital metrics that help measure progress towards business goals. To effectively monitor and analyze these metrics, businesses utilize KPI reports. Furthermore, additional metrics such as sales performance can be incorporated for customization.

KPI 52
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Performance Report: A 101 Guide

FineReport

Serving as foundational documents : Performance reports serve as the groundwork for other reports and documentation. Internal performance reports serve as a fundamental source for preparing external reports and documents, given that the required data is already collected. Here is a step-by-step guide.

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How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 103
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“You Complete Me,” said Data Lineage to DataOps Observability.

DataKitchen

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130