Remove Data Collection Remove Data Validation Remove Retail
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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Skills Developed: Building data pipelines on Azure using Databricks and Data Factory Dataset analysis for recommendation engines Managing and processing data with Spark SQL Source Code: Analyse Movie Ratings Data 20) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc.

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What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

The data sources can be an RDBMS or some file formats like XLSX, CSV, JSON, etc., We need to extract data from all the sources and convert it into a single format for standardized processing. Validate data: Validating the data after extraction is essential to ensure it matches the expected range and rejects it if it does not.

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100+ Big Data Interview Questions and Answers 2025

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

Biases can arise from various factors such as sample selection methods, survey design flaws, or inherent biases in data collection processes. Bugs in Application: Errors or bugs in data collection, storage, and processing applications can compromise the accuracy of the data.

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What is data processing analyst?

Edureka

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

City Furniture: Online retailer creates enterprise-wide data fabric to advance analytics. A huge online retail company, City Furniture realized that in the pandemic realities, it is necessary to opt for digital transformation and data virtualization was the way to facilitate this goal.

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Re-Imagining Data Observability

Databand.ai

If the data includes an old record or an incorrect value, then it’s not accurate and can lead to faulty decision-making. Data content: Are there significant changes in the data profile? Data validation: Does the data conform to how it’s being used?

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