DBMS development and other subjects | DBMS 2 : DataBase Management System Services
The cardinal rules of DBMS development Rule 1: Developing a good DBMS requires 5-7 years and tens of millions of dollars. That’s if things go extremely well. Rule 2: You aren’t an exception to Rule 1. In particular: Concurrent workloads benchmarked in the lab are poor predictors of concurrent performance in real life. Mixed workload management is harder than you’re assuming it is. Those minor edge
Three different implementations of MapReduce | DBMS 2 : DataBase Management System Services
So far as I can see, there are three implementations of MapReduce that matter for enterprise analytic use – Hadoop, Greenplum’s, and Aster Data’s.* Hadoop has of course been available for a while, and used for a number of different things, while Greenplum’s and Aster Data’s versions of MapReduce – both in late-stage beta – have far fewer users. *Perhaps Nokia’s Disco or another implementation will
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Big scientific databases need to be stored somehow | DBMS 2 : DataBase Management System Services
Patent nonsense in the data warehouse DBMS market | DBMS 2 : DataBase Management System Services
