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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Unlike traditional DWs, cloud data warehouses like Snowflake, BigQuery, and Redshift come pre-equipped with advanced features; learn more about the differences in our dedicated article. Unlike data warehouses, data lakes allow a schema-on-read approach, enabling greater flexibility in data storage.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Data cleansing.

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AWS Instance Types Explained: Learn Series of Each Instances

Edureka

Additionally, considering the pricing structure, including on-demand, reserved, and spot instances, can further enhance your ability to manage costs effectively. Introduction to AWS Instance Types Amazon Web Services (AWS) offers a diverse range of instance types, each tailored to specific computing needs and optimized for various workloads.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. You will analyze accidents happening in NYC.

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50 Artificial Intelligence Interview Questions and Answers [2023]

ProjectPro

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.