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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. What are the advantages of a data lake over a data warehouse if everything is being managed via SQL anyway?

Data Lake 100
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12 Big Data Project Topics with Source Code 2023

Knowledge Hut

There are many uses and benefits for real-time traffic simulation and prediction projects using big data. This project is a Lambda Architecture program that tracks Chicago's streets' traffic conditions, including congestion and safety. Big Data Cybersecurity It is among the important big data machine learning projects.

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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). This platform is also a key component for PinnerFormer work providing real-time user sequence data.

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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. A typical use case is building a Data Warehouse for batch processing and daily reporting.

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

ProjectPro

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.