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The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
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In this ETL Project, you will learn build an ETL Pipeline on Amazon EMR with AWS CDK and Apache Hive. You'll deploy the pipeline using S3, Cloud9, and EMR, and then use Power BI to create dynamic visualizations of your transformed data.
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In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.
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In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.
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Learn how to build a lead scoring model to identify high quality leads and maximize sales productivity by allocating resources effectively|ProjectPro
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AWS Lambda Cold Start: A Beginner’s Guide
Boost your Lambda expertise and ensure seamless execution for your applications with our ultimate AWS Lambda Cold Start guide! | ProjectPro
Data Engineer’s Guide to 6 Essential Snowflake Data Types
From strings to timestamps, six key snowflake datatypes a data engineer must know for optimized analytics and storage | ProjectPro
7 Popular Azure ETL Tools for Data Engineers in 2024
Explore the top seven Azure ETL tools reshaping the landscape in 2024. Revolutionize your data workflows with these robust solutions. | ProjectPro
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