Data Science Blog: Data Engineering

AUGUST 22, 2024

Businesses need to understand the trends in data preparation to adapt and succeed. If you input poor-quality data into an AI system, the results will be poor. This principle highlights the need for careful data preparation, ensuring that the input data is accurate, consistent, and relevant.

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Data Preparation Transportation High Quality Data Data Science 52

DataKitchen

JULY 27, 2023

Azure Databricks Delta Live Table s: These provide a more straightforward way to build and manage Data Pipelines for the latest, high-quality data in Delta Lake. Power BI dataflows: Power BI dataflows are a self-service data preparation tool. It does the job. Oozie is an open-source DAG runner.

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Data Pipeline BI Machine Learning Data Preparation 52

Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Generates clean scripts for further data processing.

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Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

JUNE 28, 2023

Business Intelligence: Business Intelligence can handle moderate to large volumes of structured data. While it may not be designed specifically for big data processing, it can integrate with data processing technologies to analyze substantial amounts of data.

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Data Mining Business Intelligence BI Structured Data 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

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AltexSoft

AUGUST 22, 2022

In the data fabric vs data lake dilemma, everything is simple. Data lakes are central repositories that can ingest and store massive amounts of both structured and unstructured data, typically for future analysis, big data processing , and machine learning. A data fabric, on the contrary, doesn’t store data.

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Architecture Metadata Data Lake Machine Learning 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

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Certification Data Engineering Data Engineer Engineering 52