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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.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

This included using NiFi to automatically collect and centralize documents consisting of unstructured data and then leveraging advanced natural language processing to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents.

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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. With this issue in mind, the BI industry has developed multiple solutions that rely on data visualizations to give a more friendly and intuitive approach to business analytics. click to enlarge**.

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Top Takeaways from the Gartner® Innovation Insight: Data Security Posture Management

Laminar Security

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. Start by using DSG to establish the data security policies and posture, and then take the final three steps to assess the DSPM deployment.”

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What is a Data Pipeline?

Jet Global

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.