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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

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The Future of Database Management in 2023

Knowledge Hut

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

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The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection.

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Deciphering the Data Enigma: Big Data vs Small Data

Knowledge Hut

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more. How they are Similar?

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Who Is Responsible For Data Quality? 5 Different Answers From Real Data Teams

Monte Carlo

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The whole needs to be greater than the sum of its parts.

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.