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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. Hadoop allows us to store data that we never stored before.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). To build an outstanding portfolio, here are some of the essential points associated with the ML project that you have to showcase.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

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Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. Google BigQuery receives the structured data from workers.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. Python libraries such as pandas, NumPy, plotly, etc.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. This collection of data is kept in Dataframe in rows with named columns, similar to relational database tables. With PySparkSQL, we can also use SQL queries to perform data extraction.