Tony Baer (Ovum)

Contributing Writer

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 from Tony Baer (Ovum)

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MongoDB 4.0 will take ACID

MongoDB 4.0 will take ACID

MongoDB is opening a public beta of its new ACID support features. It is the latest step in Mongo's journey to become an enterprise-grade platform.

February 16, 2018 by

IBM simplifies analytics pricing

IBM simplifies analytics pricing

Data platform vendors are feeling the heat when it comes to simplifying the buying experience. IBM is the latest to hop the simplification bandwagon with its database, information governance, and data science offerings.

February 7, 2018 by

Big Data is a chicken-or-egg scenario on the farm

Big Data is a chicken-or-egg scenario on the farm

It's one of the most- and least-connected industries out there. While agriculture has remained one of the least digitized sectors, there is a bountiful harvest of data that could give some economic leverage back to the farmer. But what will it take for farmers to invest?

February 1, 2018 by

Machine Learning for the masses

Machine Learning for the masses

Developers who have not gotten in on the data science action are getting onramps to entry to machine learning courtesy of the usual suspects from the cloud computing world. The question is whether these new machine learning IDEs are empowering those with just enough knowledge to literally become dangerous.

January 23, 2018 by

Oracle to market: We're Cloud 2.0

Oracle to market: We're Cloud 2.0

Oracle is using its later start to position its cloud as the state of the art platform that delivers guaranteed service levels. It is also aggressively positioning its public cloud as the best place to run Oracle databases, and yes, the bulls eye is on Amazon.

January 17, 2018 by

Databricks is no longer playing David and Goliath

Databricks is no longer playing David and Goliath

Over the past year, Databricks has more than doubled its funding while adding new services addressing gaps in its Spark cloud platform offering. With the recent Azure Databricks deal, Databricks gains a strategic partner that could level the playing field with Amazon, Google, and IBM.

December 18, 2017 by

StreamSets updates ETL to the cloud data pipeline

StreamSets updates ETL to the cloud data pipeline

Real-time streaming has moved the center of gravity for data transformation off the cluster to serverless data pipelines. Cofounded by veterans of Informatica, StreamSets is providing a third-party alternative in a landscape populated by cloud provider dataflow services.

December 14, 2017 by

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