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Production Dashboard: Optimize Your Production And Manufacturing

FineReport

Due to the limitations of time and space, it is unrealistic for the management to visit amounts of enterprises’ workshops to grasp their dynamic production in real time. Workshop Application of FineReport. Manufacturing command room dashboard helps measure production ability. Workshop application of FineReport.

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Automate the archive and purge data process for Amazon RDS for PostgreSQL using pg_partman, Amazon S3, and AWS Glue

AWS Big Data

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. Gain a high-level understanding of AWS Glue and its components by using the following hands-on workshop.

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Why you should care about debugging machine learning models

O'Reilly on Data

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. There are several known attacks against machine learning models that can lead to altered, harmful model outcomes or to exposure of sensitive training data. [8] Residual analysis.

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10 master data management certifications that will pay off

CIO Business Intelligence

That’s where MDM comes in to help create a single version of truth across all copies of master data to ensure data values are aligned. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. Informatica Master Data Management 10.3

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Train and upskill employees.

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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.

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