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From Data Variety to Data Opportunity

Among its well-known challenges, we are getting better and better at handling the volume aspect of Big Data; we buy more machines, we “shard” tables, and we even port solutions to clusters and MapReduce platforms.  But it is the “Variety”…

Jul 9, 2014 Insights

Taming the Hydra of Data Variety

  Among Big Data challenges, Variety is the hardest to deal with through automation. Variety comes in the form of incompatible data formats, non-aligned data structures, and inconsistent data semantics. These are not merely a consequence of insufficient standards: although…

Jun 30, 2014 Insights

Andy Palmer To Discuss Data Curation at MIT CDO IQ Conference

Andy Palmer, CEO & Co-Founder of Tamr, Inc. will be presenting at the MIT CDOIQ Symposium on Wednesday July 23, 2014 2:30-3:30 pm ET at MIT’s Tang Building in Cambridge, MA. His talk, entitled, “Data Quality Through Curation at Big Data…

Jun 20, 2014 Events

Why Data Curation Matters: The Piketty Panic

  Data curation following strong data science principles is required to demonstrate the veracity of data analysis Capital in the Twenty-First Century by Thomas Piketty is the most popular and controversial economics book in decades. As a May 31st editorial…

Jun 19, 2014 Insights

Tom Davenport on Taming the “Data Plumbing” Problem

    How Tamr’s Unique Machine/Expert Approach to Curation Is Helping Solve the Data Plumbing Problem Data Scientists or Data Plumbers? In his WSJ CIO Journal piece, “Taming the ‘Data Plumbing Problem,’” Tom Davenport says he likes “the idea that…

Jun 17, 2014 Insights

The Real Data Scientists of the Enterprise

One of the comments that we frequently hear during our conversations with enterprise data scientists and data experts is that they spend (too) much of their time completing tactical projects to simply access some of their data sources. As a…

Jun 2, 2014 Insights

Andy Palmer to Present at Chief Data Officer Summit

Andy Palmer to speak at the Chief Data Officer Summit in San Francisco on May 22nd, 2014. Most companies leverage less than 10% of their own data. Often, this data can be siloed, incomplete or out of date. To grow…

May 19, 2014 Events

Embracing the Data Variety Challenge: The Time Has Come.

Three years ago, my partner Mike Stonebraker was working on a research project at MIT to test the boundaries of data integration and curation. Mike and his fellow researchers wanted to see if it was possible to connect thousands or…

May 18, 2014 Insights

Three Generations of Data Integration Systems

(In this entry, I explain the three generations of data integration products and note what appears to have caused the transitions between the product families.) In the 1990s, data warehouses arrived on the scene. Led by the major retailers, customer-facing…

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