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

AltexSoft

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Raw data store section.

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Strategies for change data capture in dbt

dbt Developer Hub

Joanne could track changes in the source data by adding snapshots directly on top of her raw data. Remember the source data change Joanne noticed — a manufacturing cost was dated incorrectly (Junkuary 2022 instead of January 2022). Scenario ​ Let’s return to Joanne. Joanne executes a dbt run again on February 3rd.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention.

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What are the Features of Big Data Analytics

Knowledge Hut

When done correctly, data integration can enhance data quality, free up resources, lower IT costs, and stimulate creativity without significantly modifying current applications or data structures. Data Governance Data governance is the process of ensuring that data is trustworthy, accurate, available, and usable.

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What is dbt Testing? Definition, Best Practices, and More

Monte Carlo

The `dbt run` command will compile and execute your models, thus transforming your raw data into analysis-ready tables. Once the models are created and data transformed, `dbt test` should be executed. This command runs all tests defined in your dbt project against the transformed data. Also, remember data governance.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59
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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

Data lakes offer a flexible and cost-effective approach for managing and storing unstructured data, ensuring high durability and availability. Video analytics involves extracting significant information from video data, such as identifying patterns, objects, or activities within the footage. Invest in data governance.