Apache Spark is an open source software to run applications with the mission of doing a large-scale data analysis on several computers at the same time. It can handle analytical and data processing workloads both in batches and in real time.

Why is it relevant for companies?

The challenge today for companies is to process the data and analyze it . Companies must adopt big data as part of their business strategy. It is essential to have the ability to connect the points and create a marketing scheme from them. Banks, telecommunications companies, governments and the big giants like Apple, Facebook, IBM and Microsoft have implemented it.

How useful is this within the company?

According to Apache Spark training institute in Bangalore, It is a key element for market intelligence and its analysis through big data . It is also a high speed solution for large volumes of data, obtaining the required knowledge in record time.

What are its advantages?

Supports several programming languages. This helps your company’s developers create and run their applications natively on their own computers, without incurring additional costs.

It is Open Source but has a large set of developers. The project started in 2009 and so far more than 250 people contribute with it. This means that you will always have updated and ready software for a company, without paying more.

How was Apache Spark used in a special case of Telecommunications?

Verizon , a telecommunications company sought to extract data from its 91 million customers. Among the data I wanted to analyze were the analysis of missed calls, customer rotation and statistics by device. After replacing his traditional analytical platform he managed to execute these same queries in less than a second. As a result, company analysts can now visualize this data in real time, allowing them to detect trends intuitively.

Companies must propose a model to manage data in order to monetize it. Working faster means real-time analysis, making decisions and preparing protocols with emergency measures.

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