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10 IT skills where expertise pays the most

CIO Business Intelligence

Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong competence. This makes it easier to maintain, update, and monitor services without breaking other parts of the system and introducing any unnecessary downtime.

IT 130
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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

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iVEDiX Inc. Extends Alliance with insightsoftware to Deliver Best-in-Class Support For Longview Analytics Customers in North America

Jet Global

Bo Stojanovich, SVP of Strategy and Alliances at insightsoftware, said: “We are extremely pleased to expand the business relationship with iVEDiX that began with their BI Alliance partnership with arcplan in 2008. insightsoftware is a leading provider of financial reporting and enterprise performance management software.

IoT 80
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AI vs. BI for Business, What Do You Need?

Jet Global

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels.

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Data Observability and Monitoring with DataOps

DataKitchen

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. A robust process checks source data and work-in-progress at each processing step along the way to polished visualizations, charts, and graphs. Some people prefer R over Python.

Testing 214
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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). In the following sample code, we generate a report showing the quarterly sales for the year 2008. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select(