Remove Banking Remove Portfolio Remove Unstructured Data
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Navigating the Data Science Spectrum with Microsft Data Scientist,Divij Bajaj

ProjectPro

He suggests one should start by understanding the crucial distinction between structured and unstructured data—it's the cornerstone. For those venturing into data engineering, structured data is your launchpad. Consider this advice as your compass through the diverse roles in data science.

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Generative AI for Finance-Use Cases and Examples

ProjectPro

For instance, Goldman Sachs estimates a potential 40% increase in banking sector profitability through AI integration. From automating report generation and data analysis to tackling complex challenges like fraud detection and risk assessment, generative AI is revolutionizing operations.

Finance 52
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Hadoop Explained: How does Hadoop work and how to use it?

ProjectPro

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. Check Out Apache Hive Real Time Projects to Build Your Portfolio How to use Hadoop?

Hadoop 45
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How to Become a Big Data Developer-A Step-by-Step Guide

ProjectPro

Monitoring and Troubleshooting Big Data Developers play a crucial role in monitoring the health and performance of Big Data systems in production. They troubleshoot issues, ensure data pipelines run smoothly, and take corrective actions when necessary.

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Is Your Financial Services Organization Ready to Leverage Generative AI?

Snowflake

According to IDC , “Ultimately, gen AI will be widely adopted only if the data, models and applications that use them are trusted by end users and customers.” Here’s how a robust data strategy can help your financial services organization overcome the barriers and blocks to gain a competitive edge with gen AI.

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Predictive Modeling Techniques- A Comprehensive Guide [2025]

ProjectPro

How do banks alert us when there is suspicious activity in our accounts? It's an essential aspect of predictive analytics, a type of data analytics that involves machine learning and data mining approaches to predict activity, behavior, and trends using current and past data.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.