Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Jen Stirrup

DECEMBER 19, 2018

Have you seen the custom modules for AzureML yet? One neat custom module that I’ve been using is the Create Scatterplot module, which uses ggplot2 and R in order to create a scatterplot. It’s possible to do this in AzureML already but it takes a few extra steps, and it is good to be able to reduce clicks in doing activities where possible.

Data Science 45

Data Science IT Machine Learning 45

Tim Mitchell

DECEMBER 19, 2018

At the far end of an out-of-the-way aging strip shopping center in southern Louisiana, there stands a small and modest sushi restaurant. The exterior could be described as tasteful minimalistic: there are no big signs, no flashy advertising, and the word “fancy” would never be used to describe it. Inside, it is a small space, seemingly purposeful in its meager.

Advertising 45

Advertising IT 45

Nutanix

DECEMBER 19, 2018

The close of the year is a time for reflection. It’s also a time to look forward to the promise of the what’s to come. In that spirit, we thought it would be interesting to share a few ideas we believe will be important in 2019 and beyond.

IT 20

IT 20

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. Since that time, Andrej Karpathy has made some more predictions about the fate of software development: he envisions a Software 2.0 , in which the nature of software development h

Machine Learning 261

Machine Learning Software Modeling Testing 261

Nutanix

DECEMBER 19, 2018

NEXT Magazine is your source for practical advice, bold ideas, and occasionally controversial opinions from some of the IT industry’s leading change agents.

IT 20

IT 20