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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Poor data integration can lead to inaccurate insights.

Analytics 203
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Why Easier Governance Is Superior Governance

Alation

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

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Why Spreadsheets Are Your Secret Weapon for Efficient Data Governance

Alation

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Spreadsheets are not going away any time soon, so it makes sense to incorporate them into the data landscape. There are others that consider spreadsheets to be trouble.

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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

Search solutions in modern big data management must facilitate efficient and accurate search of enterprise data assets that can adapt to the arrival of new assets. The application needs to search through the catalog and show the metadata information related to all of the data assets that are relevant to the search context.

AWS 141
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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

AI 93
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A Comprehensive Guide to the main components of Big Data

Pickl AI

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters. Variety Variety indicates the different types of data being generated.