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Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Data lineage helps answer questions about the origin of data in key performance indicator (KPI) reports, including: How are the report tables and columns defined in the metadata?

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Business terms and data policies should be implemented through standardized and documented business rules.

Metadata 111
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Exploring real-time streaming for generative AI Applications

AWS Big Data

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. Amazon S3 provides a trigger to invoke an AWS Lambda function when a new document is stored. With a large number of documents, this process can be inefficient.

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Top 3 Tableau Alternatives for Data Analysis in the 21st Century

FineReport

Also, with already organized Help Documents and user-friendly, good ecosphere, FineReport provides resources to solve problems. Tableau : There are specialized modules to manage metadata. Power BI, an open-source alternative to tableau, creates amazing data experiences, with memorable reports personalized with your KPI s and brand.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

That metric is tied to a KPI. It's the target for your KPI. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. We’re making an educated guess about what could improve the KPI based on what we learned in step 1.

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Cloudera DataFlow for the Public Cloud: A technical deep dive

Cloudera

This will create a JSON file containing the flow metadata. KPIs can be defined on the entire data flow to track metrics like how much data the flow is sending to or receiving from external systems, as well as on individual NiFi components such as process groups, processors and connections. and later).

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The art and science of data product portfolio management

AWS Big Data

Acts as steering body for the governance of DPPM as a practice (KPI monitoring, maturity assessments, auditing, and so on). Key deliverables include a registry of demand against new or existing data products, including metadata on source systems, attributes, known use cases, proposed data product owners, and suggested organizational priority.