article thumbnail

96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

article thumbnail

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. About iVEDiX. iVEDiX has delivered brilliantly curated digital solutions for some of the world’s most progressive organizations.

IoT 80
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Data Strategy in a Working from Home Climate

Peter James Thomas

When I occasionally re-read articles I penned back in 2009 or 210, I’m often struck that – no matter how many things have undeniably changed over the intervening years in the data arena – there are some seemingly eternal verities. To provide some more colour, let’s go back to 2007 / 2008.

article thumbnail

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

AWS Big Data

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured 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).

article thumbnail

Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

article thumbnail

Marketing as a strategic business partner: mixing theory, research and #data

Jen Stirrup

I thought I’d share how we started to apply marketing theory, practice, and insights from data. Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). The secret is the data. Real never goes out of fashion.

article thumbnail

Reclaiming the stories that algorithms tell

O'Reilly on Data

Whether driven by my score, or by their own firsthand experience, the doctors sent me straight to the neonatal intensive care ward, where I spent my first few days. And yet a number or category label that describes a human life is not only machine-readable data. Numbers like that typically mean a baby needs help.

Risk 354