George Anadiotis

George's got tech, data, and media, and he's not afraid to use them. Coming from an IT background, he's had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator: being a Gigaom analyst, serving Fortune 500, startups and NGOs as a consultant, building and managing projects, products and teams of all sizes and shapes, and getting involved in award-winning research among others. George runs Linked Data Orchestration: http://linkeddataorchestration.com

Andrew Brust

Andrew Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology. He has been a developer magazine columnist and conference speaker since the mid-90s, and a technology book writer and blogger since 2005. Andrew serves as Senior Director, Technical Product Marketing and Evangelism at Datameer, a big data analytics company.

Tony Baer (Ovum)

Tony Baer leads Ovum's Big Data research area. Over his 25 years in the industry, he has studied issues of data integration, software and data architecture, middleware, and application development. Having tracked the emergence of BI and data warehousing back in the 1990s, Baer sees similar parallels emerging in the world of Big Data today. His coverage focuses on how Big Data must become a first-class citizen in the data center, IT organization, and the business. Baer has a multi-disciplinary background touching the different tiers of enterprise software. His expertise in data management is complemented by deep background in software development platforms and middleware. Prior to joining Ovum, he was an independent analyst whose company onStrategies delivered market assessments and messaging advisory services to vendor clients. He co-authored some of the earliest books on the Java and .NET frameworks including Understanding the .NET Framework and J2EE Technology in Practice. He has spoken at numerous industry events covering data management, and has been chronicling the industry in his blog for over 15 years. His career began as a journalist with publications including Computerworld, Application Development Trends, Computergram, Software Magazine, Information Week, and Manufacturing Business Technology.

Latest Posts

Streaming becomes mainstream

Streaming becomes mainstream

The endless streams of data generated by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?

December 18, 2017 by in Data Management

The machine learning feedback loop

The machine learning feedback loop

The pace of change is catalyzed and accelerated at large by data itself, in a self-fulfilling prophecy of sorts: data-driven product -> more data -> better insights -> more profit -> more investment -> better product -> more data. So while some are still struggling to deal with basic issues related to data collection and storage, governance, security, organizational culture, and skillset, others are more concerned with the higher end of the big data hierarchy of needs.

December 18, 2017 by in Data Management

Moving up the analytics stack

Moving up the analytics stack

As descriptive and diagnostic analytics are getting commoditized, we are moving up the stack towards predictive and prescriptive analytics. Predictive analytics is about being able to forecast what's coming next based on what's happened so far, while prescriptive analytics is about taking the right course of action to make a desirable outcome happen.

December 18, 2017 by in Data Management

Going data-driven on a budget

Going data-driven on a budget

How can you think and do data analysis globally, aiming to act and have an impact locally, when the data you need is scattered and incomplete and your resources are limited? And what does an analysis on the affordability of data plans around the world show?

December 4, 2017 by in Big Data Analytics

Real-time applications are going places

Real-time applications are going places

Data streaming is the paradigm behind applications that can process data and act upon insights on the fly. Apache Flink, one of the key platforms in this area, is releasing new versions and getting traction. But there may be other players in this game soon, and not the ones you think.

November 29, 2017 by in Big Data Analytics

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