Remove Data Analysis Remove Data Mining Remove Insurance Remove Structured Data
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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Goal To extract and transform data from its raw form into a structured format for analysis.

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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.

Hadoop 52
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Spark is fast and so can be used in Near Real Time data analysis.

Scala 96
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. The company can use demand forecasts as input to an allocation tool.

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Hadoop Use Cases

ProjectPro

Hadoop allows us to store data that we never stored before. Big Data and Hadoop technology is also applied in the Healthcare Insurance Business. They store and analyse massive volume of data from their manufactured mobile phones.

Hadoop 40
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Top 10 Industries using Big Data and 121 companies who hire Hadoop Developers

ProjectPro

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

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