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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. Edge analytics by definition require in-network deployment. 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. . He has a lot of passion for the work he does.

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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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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

For example, Azure Healthcare APIs and Healthcare Data Engine by Google support FHIR and other health data exchange standards while ensuring HIPAA compliance. Hospitals and clinics can reinforce their HIM departments with data architects, software developers, quality assurance (QA) engineers , and other tech specialists. ?urrently,

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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. One other example highlights this trend.

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