Remove 2022 Remove Big Data Analytics Remove Data Engineering
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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Explosive data growth can be too much to handle.

Big Data 119
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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Consider your schedule and budget as you opt for a structure and format for your data science bootcamp. Ensure that the bootcamp of your choice covers these specific topics.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Fatma Nur Dumlupınar Keşir received her Bachelor’s Degree from Industrial Engineering Department at Boğaziçi University. She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning.

AWS 133
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Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

Algorithm 100
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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Value in 2022 – $271.83 Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Value in 2022 – $18.10

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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.

Big Data 147
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ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., pandas, NumPy) 3 Feature Engineering and Selection (e.g., 2022, January 18). Retrieved from [link] Facebook Engineering: fSDP: A Fast and Scalable Distributed Parallel Programming Framework Facebook. 2021, July 15).

ML 52