Remove Big Data Analytics Remove Data Lakes Remove Data Science
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Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Big Data wurde für viele Unternehmen der traditionellen Industrie zur Enttäuschung, zum falschen Versprechen. Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science.

Big Data 147
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Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

It integrates seamlessly with other AWS services and supports various data integration and transformation workflows. Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. Airflow An open-source platform for building and scheduling data pipelines.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203
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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Emre Uzel received his Master’s Degree in Data Science from Koç University.

AWS 129
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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning Blog

Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. We used GPU jobs that help us run jobs that use an instance’s GPUs.

AWS 121