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      Data pipelining

      Discussion of database management system designs — commonly in analytic DBMS or data warehouse appliances — that involve heavy pipelining of query execution.

      November 19, 2015

      The questionably named Cloudera Navigator Optimizer

      I only have mixed success at getting my clients to reach out to me for messaging advice when they’re introducing something new. Cloudera Navigator Optimizer, which is being announced along with Cloudera 5.5, is one of my failures in that respect; I heard about it for the first time Tuesday afternoon. I hate the name. I hate some of the slides I saw. But I do like one part of the messaging, namely the statement that this is about “refactoring” queries.

      All messaging quibbles aside, I think the Cloudera Navigator Optimizer story is actually pretty interesting, and perhaps not just to users of SQL-on-Hadoop technologies such as Hive (which I guess I’d put in that category for simplicity) or Impala. As I understand Cloudera Navigator Optimizer:

      Read more

      June 8, 2015

      Teradata will support Presto

      At the highest level:

      Now let’s make that all a little more precise.

      Regarding Presto (and I got most of this from Teradata)::

      Daniel Abadi said that Presto satisfies what he sees as some core architectural requirements for a modern parallel analytic RDBMS project:? Read more

      May 27, 2013

      IBM BLU

      I had a good chat with IBM about IBM BLU, aka BLU Accelerator or Acceleration. BLU basics start:

      And yes — that means Oracle is now the only major relational DBMS vendor left without a true columnar story.

      BLU’s maturity and scalability basics start:

      BLU technical highlights include: Read more

      June 16, 2012

      Metamarkets’ back-end technology

      This is part of a three-post series:

      The canonical Metamarkets batch ingest pipeline is a bit complicated.

      By “get data read to be put into Druid” I mean:

      That metadata is what goes into the MySQL database, which also retains data about shards that have been invalidated. (That part is needed because of the MVCC.)

      By “build the data segments” I mean:

      When things are being done that way, Druid may be regarded as comprising three kinds of servers: Read more

      January 18, 2011

      Architectural options for analytic database management systems

      Mike Stonebraker recently kicked off some discussion about desirable architectural features of a columnar analytic DBMS. Let’s expand the conversation to cover desirable architectural characteristics of analytic DBMS in general.? Read more

      Feed: DBMS (database management system), DW (data warehousing), BI (business intelligence), and analytics technology Subscribe to the Monash Research feed via RSS or email:

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