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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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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. DynamoDB is limited to 400KB for documents and MongoDB can support up to 16MB file sizes. But MongoDB also offers filesystem snapshot backups and queryable backups.

Big Data 112
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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

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

FineReport

Additionally, the report presents daily sales revenue, which gives a snapshot of the revenue generated on a daily basis. Annual KPI Report Example The Annual KPI Report is a comprehensive document that provides a holistic overview of key performance indicators (KPIs) for a full year within an organization.

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Proposals for model vulnerability and security

O'Reilly on Data

Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Applying data integrity constraints on live, incoming data streams could have the same benefits. Disparate impact analysis: see section 1.

Modeling 222
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How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.