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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Athena supports a variety of compression formats for reading and writing data.

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How Technology is Impacting a Variety of Careers in Healthcare

Smart Data Collective

Hospitals all over the country are actively seeking employees who can understand and implement data Informatic nurses specialize in exactly this. While this position has existed since the seventies, it has changed with the times, focusing now on how to process and implement enormous data sets— often in sync with AI-powered technology.

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Top 10 Key Features of BI Tools in 2020

FineReport

Both the investment community and the IT circle are paying close attention to big data and business intelligence. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Nowadays, the business intelligence market is heating up.

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Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Big Data Hub

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project. What is Amazon Omics?

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. SafeGraph found itself with a less-than-optimal Spark environment with their incumbent Spark vendor. Their costs were climbing.