James Kobielus

James Kobielus is a big data evangelist at IBM and the editor in chief of IBM Data magazine. He is an industry veteran, a popular speaker, social media participant, and a thought leader in big data, Apache Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next-best action technologies.

thinking-like-a-data-scientist

Thinking Like a Data Scientist

The best data scientists are critical thinkers par excellence. Acquiring skills in quantitative analysis and programming is not enough, and even a strong background in some domain specialty doesn’t guarantee a data scientist’s effectiveness.

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automating-the-information-lifecycles

Automating the Information Lifecycle

Enterprise data is useless if it doesn’t flow where it’s needed. And it’s just a waste of precious resources if it takes an army of technicians and analysts to put it in the right shape and context.

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holistic-data-management

Holistic Data Management

Holistic data analytics environments help organizations to access, manage, and leverage their information assets comprehensively.

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enterprise-grade

Enterprise Grade

When you’re betting the business on your infrastructure, stringent requirements come into play. Determining whether you have an enterprise-grade big data platform requires many interlocking considerations. Compliance, extensibility, functionality, performance, reliability, and security are among the many criteria you need to build into both the infrastructure and your operating procedures. Lacking comprehensive controls and assurances in all these areas exposes the organization and all its assets to excessive risk. In IBM Data magazine the first week of 2015, we have …

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pushing-the-mapReduce-efficiency-envelope
Database and platform

Pushing the MapReduce Efficiency Envelope

Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures

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2014-highlights-technologies-and-solutions
Cloud computing

2014 Highlights: Technologies and Solutions

IBM Data magazine—the forum for smarter business—showcases selected technologies-focused articles from 2014

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2014-highlights-strategies-and-solutions
Business

2014 Highlights: Strategies and Solutions

IBM Data magazine — the forum for smarter business — spotlights its 2014 transformations and selected strategies-focused features

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extreme-analytics-editor

Extreme Analytics

Big data analytics often drive bet-the-business applications. As such, the underlying platform must weather the extremes that their environments may throw at them. This endurance includes expected extremes in both the physical environments in which big-data analytics platforms are deployed and in the resource requirements of the workloads that execute on these platforms.

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pushing-performance

Pushing Performance

Big data is all about pushing the performance envelopes for data applications to the max.

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big-data-ethics-for-targeted-segmentation
Data

Big Data Ethics for Targeted Segmentation

Organizations should evaluate their intentions when engaging models for profiling customers

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sustained-growth

Sustained Growth

It’s been a year of sustained growth for IBM Data magazine.

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patterns-of-insight-and-expertise

Patterns of Insight and Expertise

Expertise can become a sustainable business resource if you bake it into your operational best practices for data management and analytics.

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