Enterprise headlines and summaries, 2009-10-25

  • Ingres gains geospatial features – and loses its last closed code
    Ingres has announced geospatial support in its open source database, allowing it to be used as part of a Geographic Information System (GIS). Or rather, it’s announced an open source implementation of its geospatial support, since the functions have been there for quite some time. However, until this point, the modules were proprietary — the only part of Ingres that was.
  • Who Should Oracle Sell MySQL To?
    There is no question that MySQL brings significant value to its users, but does it carry enough value to whoever owns it to justify its purchase? Or, is this another example of the problems of the commons? For my part, I can see how MySQL might be of more value to Oracle than it is to any other single party. This makes a sale difficult because Oracle wants more than any individual organization is willing to pay. MySQL is almost certainly more valuable to the collective community, but the collective community is not structured to make the purchase.
  • Oracle-Sun deal opponents to press case in Silicon Valley
    Florian Mueller, a European Union strategist who’s working with deal opponent and MySQL cofounder Michael “Monty” Widenius, will be in Silicon Valley Monday morning for a press conference to explain the opposition. The next day, he’ll make a similar appearance in New York City.
  • US Tour of European Opponent of Oracle Owning Sun’s MySQL
    [Mueller has a financial interest in the outcome-DBM] The activist…wrote a position paper in August for MySQL founder Michael ‘Monty’ Widenius’ new company, Monty Program Ab, which he claims supported the European Commission’s initial investigation. On his tour, he will discuss his view on competition concerns and the proceeding, and possible ways forward.
  • Analysis of the “MapReduce Online” paper
    The paper evaluates mainly subproblem (2): every operator in MapReduce is a blocking operator. The main focus of the paper is, in particular, on turning the Map operator from a blocking operator to an operator that can ship query results as they are produced. This technique gets more and more useful the fewer map tasks there are. If there are more nodes than Map tasks (as is the case for every experiment in this paper) then there are entire nodes that have only Reduce tasks assigned to them, and without pipelining, these nodes have to sit around and do nothing until the Map tasks start to finish.
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