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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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The 9 most in-demand IT jobs in healthcare

CIO

More importantly, healthcare isn’t an industry that can withstand significant downtime or major overnight changes, as most systems handle sensitive healthcare and patient data. Informatics is a top priority, driving a demand for skills such as SQL, Python, data analysis, project management, process improvement, and more. Data analyst.

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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

He then covered the new focus on cloud security with an emphasis on access log transparency, data loss prevention, and VPC service controls such as Policy Intelligence, a machine learning-based service that targets access that may be too broad. Cloud Data Fusion. Big data got some big news today as well.

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The state of data quality in 2020

O'Reilly Media - Ideas

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Microsoft Power BI is an interactive data visualization software suite developed by Microsoft that helps businesses aggregate, organize, and analyze data.

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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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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. What is Apache Spark?