Remove 2023 Remove Cloud Data Remove Data Engineering
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Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

Der Gartner´s Magic Quadrant zu Process Mining Tools für 2024 zeigt einige Movements im Vergleich zu 2023. Process Mining Tool im Gartner Magic Quadrant Chart – 2023 vs 2024 Auch wenn ich große Ehrfurcht gegenüber Gartner als Quelle habe, bin ich jedoch nicht sicher, wie weit die Datengrundlage für die Feststellung geht.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

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Marketing Questions phData Can Answer with Data

phData

Utilizing AI and machine learning (ML) models can sound like a daunting task, but it is achievable, especially with the ML engineering experts at phData by your side to guide you in your data journey. Many data engineering consulting companies can answer these questions, and you may have the in-house talent to do it yourself.

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Where to Find Snowflake Training Resources

phData

Whether you’re aiming for Snowflake certification, seeking to enhance your proficiency with the platform, exploring new data implementation strategies, or developing internal training programs, accessing quality training resources is critical for success in Snowflake.

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How to Build Effective Data Pipelines in Snowpark

phData

Organizations must ensure their data pipelines are well designed and implemented to achieve this, especially as their engagement with cloud data platforms such as the Snowflake Data Cloud grows. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

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Retail & CPG Questions phData Can Answer with Data

phData

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. Data engineers can prepare the data by removing duplicates, dealing with outliers, standardizing data types and precision between data sets, and joining data sets together.

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Healthcare Questions phData Can Answer with Data

phData

This data can help healthcare providers retain their key talent and save hundreds of thousands of dollars in yearly recruiting costs. Many data engineering consulting companies could also answer these questions for you, or maybe you think your team has the talent to do it in-house. Why phData?