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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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Building a Big Data Culture

Cloudera

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

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Driving Standards & Collaboration in Telco with Data & AI

Cloudera

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Big Data has long been a growth area in telecom,’ he told me.

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#ClouderaLife Spotlight: Manoj Shanmugasundaram – Principal Solutions Engineer

Cloudera

One of his favorite projects was with one of the largest telecommunication companies in the world. He explained that they were working to stream several terabytes of data from hundreds of data sources each day and running real time analytics to detect fraud. . “Everyone is ready to help in any way possible.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Let’s consider a large Asian Telecommunications provider who is rolling out 5G. Data Hub – .

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

Altexsoft

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Telecommunications: predicting equipment failure. DataBricks AutoML: a smart system revolving around Spark and Big Data.