Data Science Dojo

JULY 6, 2023

Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

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Data Engineering Data Engineer Data Engineering Data Engineering 195

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

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Big Data Big Data Apache Hadoop Data Science 147

Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Business Analytics employs various tools and techniques to process and interpret data effectively. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Scientists require a robust technical foundation.

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Data Science Analytics Analytics Data Scientist 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Data Engineering Data Engineer Data Engineering Data Engineering 52

Women in Big Data

OCTOBER 9, 2024

Data Processing (Preparation): Ingested data undergoes processing to ensure it’s suitable for storage and analysis. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used.

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Big Data Big Data Apache Kafka Data Pipeline 59