Remove Data Mining Remove Structured Data Remove Telecommunication
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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.

Hadoop 96
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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Python libraries such as pandas, NumPy, plotly, etc.

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Data Scientist Salary in India: Based on Location, Company, Experience

Knowledge Hut

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

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Hadoop Use Cases

ProjectPro

Hadoop allows us to store data that we never stored before. To paint a fair picture of Nokia’s Big Data, they manage 100 TB of structured data along with 500+ TB of semi-structured data. Because of such massive competition, companies target customers by catering specific products to stand out.

Hadoop 40
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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Access Big Data Projects Example Code to Real-Time Tracking of Vehicles 22. Analysis of Network Traffic and Call Data Records There are large chunks of data-making rounds in the telecommunications industry. However, very little of this data is currently being used to improve the business.