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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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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. The first big conferences were Strata and Hadoop World that started in in 2012. They eventually merged in 2012. Some people blamed the technologies.

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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.

Hadoop 40
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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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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.

Scala 98
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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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The History of Artificial Intelligence (AI): A Detailed Guide

Knowledge Hut

Contrary to popular belief, Artificial Intelligence is not a new technology for researchers. All these ultimately resulted in a complete slowdown of the development of new technologies. The history of AI reminds us of the continuous evolution and societal impact of this transformative technology.