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Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

You’ll build up your portfolio of machine learning projects and gain hands-on experience in writing machine learning algorithms, deploying models into production, and managing the lifecycle of a deep learning prototype.

Data Lake 100
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Large-scale User Sequences at Pinterest

Pinterest Engineering

Try out various event selection algorithms. However, in the future, we’d like to experiment with our event selection algorithm (for example, instead of selecting the last N events, we could select the “most relevant” N events). For now, our user sequences are based on the last N events of a user.

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Apache Spark Use Cases & Applications

Knowledge Hut

MLlib has multiple algorithms for Supervised and Unsupervised ML which can scale out on a cluster for classification, regression, clustering, collaborative filtering. Some of these algorithms are also applicable to streaming data. This is achieved through recommendation engines built on Machine learning algorithms and Spark MLlib.

Scala 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

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12 Big Data Project Topics with Source Code 2023

Knowledge Hut

This project is a Lambda Architecture program that tracks Chicago's streets' traffic conditions, including congestion and safety. Your user behavior modeling system will be built using big data algorithms. There are many uses and benefits for real-time traffic simulation and prediction projects using big data.