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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.

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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

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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.

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Serving the Public Through Data

Cloudera

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

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2020 Data Impact Award Winner Spotlight: Merck KGaA

Cloudera

Data security and governance champions – Merck KGaA. Based in Germany, Merck KGaA is one of the leading science and technology companies, operating across healthcare, life science, and performance materials business areas. It established a data governance framework within its enterprise data lake.

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5 Examples of Bad Data Quality in Business — And How to Avoid Them

Monte Carlo

At the time of the incident, PHE already had plans underway to replace the “legacy software” and upgrade to data analytics tools that were better suited for the job than Excel. Testing your data early and often helps detect common quality issues before they have the chance to impact downstream data consumers or products.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources.