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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1

Cloudera

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. It is currently at 0.3% (2016-2018) down from 6% in the period from 2010 – 2012, and this is now no longer where they are seeing the future growth and potential.

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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. What Is Big Data Analytics? Why Is Big Data Analytics Important?

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient. How Walmart is tracking its customers?

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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. JP Morgan has massive amounts of data on what its customers spend and earn.

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Fundamentals of Apache Spark

Knowledge Hut

It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. Basic knowledge of SQL.

Hadoop 98
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How Apache Hadoop is Useful For Managing Big Data

U-Next

That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel.

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