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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. The post A Detailed Introduction on Data Lakes and Delta Lakes appeared first on Analytics Vidhya.

Data Lake 248
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Back to the Financial Regulatory Future

Cloudera

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations. For decades now, data analytics has been considered a segregated task. Look for flexible solutions that address the needs of all your user.

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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98
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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98