ClearStory Data

                                                    News and commentary relating to ClearStory Data.

                                                    July 19, 2016

                                                    Notes from a long trip, July 19, 2016

                                                    For starters:

                                                    A running list of recent posts is:

                                                    Subjects I’d like to add to that list include:

                                                    Read more

                                                    October 26, 2015

                                                    Differentiation in business intelligence

                                                    Parts of the business intelligence differentiation story resemble the one I just posted for data management. After all:

                                                    That said, insofar as BI’s competitive issues resemble those of DBMS, they are those of DBMS-lite. For example:

                                                    And full-stack analytic systems — perhaps delivered via SaaS (Software as a Service) — can moot the BI/data management distinction anyway.

                                                    Of course, there are major differences between how DBMS and BI are differentiated. The biggest are in user experience. I’d say: Read more

                                                    August 3, 2015

                                                    Data messes

                                                    A lot of what I hear and talk about boils down to “data is a mess”. Below is a very partial list of examples.

                                                    To a first approximation, one would expect operational data to be rather clean. After all, it drives and/or records business transactions. So if something goes awry, the result can be lost money, disappointed customers, or worse, and those are outcomes to be strenuously avoided. Up to a point, that’s indeed true, at least at businesses large enough to be properly automated. (Unlike, for example — ?? — mine.)

                                                    Even so, operational data has some canonical problems. First, it could be inaccurate; somebody can just misspell or otherwise botch an entry. Further, there are multiple ways data can be unreachable, typically because it’s:

                                                    Inconsistency can take multiple forms, including:? Read more

                                                    September 28, 2014

                                                    Some stuff on my mind, September 28, 2014

                                                    1. I wish I had some good, practical ideas about how to make a political difference around privacy and surveillance. Nothing else we discuss here is remotely as important. I presumably can contribute an opinion piece to, more or less, the technology publication(s) of my choice; that can have a small bit of impact. But I’d love to do better than that. Ideas, anybody?

                                                    2. A few thoughts on cloud, colocation, etc.:

                                                    3. As for the analytic DBMS industry: Read more

                                                    May 6, 2014

                                                    Notes and comments, May 6, 2014

                                                    After visiting California recently, I made a flurry of posts, several of which generated considerable discussion.

                                                    Here is a catch-all post to complete the set.? Read more

                                                    October 31, 2013

                                                    Specialized business intelligence

                                                    A remarkable number of vendors are involved in what might be called “specialized business intelligence”. Some don’t want to call it that, because they think that “BI” is old and passé’, and what they do is new and better. Still, if we define BI technology as, more or less:

                                                    then BI is indeed a big part of what they’re doing.

                                                    Why would vendors want to specialize their BI technology? The main reason would be to suit it for situations in which even the best general-purpose BI options aren’t good enough. The obvious scenarios are those in which the mismatch is one or both of:

                                                    For example, in no particular order: Read more

                                                    September 29, 2013

                                                    ClearStory, Spark, and Storm

                                                    ClearStory Data is:

                                                    I think I can do an interesting post about ClearStory while tap-dancing around the still-secret stuff, so let’s dive in.


                                                    To a first approximation, ClearStory ingests data in a system built on Storm (code name: Stormy), dumps it into HDFS, and then operates on it in a system built on Spark (code name: Sparky). Along the way there’s a lot of interaction with another big part of the system, a metadata catalog with no code name I know of. Or as I keep it straight:

                                                    Read more

                                                    August 14, 2013

                                                    The two sides of BI

                                                    As is the case for most important categories of technology, discussions of BI can get confused. I’ve remarked in the past that there are numerous kinds of BI, and that the very origin of the term “business intelligence” can’t even be pinned down to the nearest century. But the most fundamental confusion of all is that business intelligence technology really is two different things, which in simplest terms may be categorized as user interface (UI) and platform* technology. And so:

                                                    *I wanted to say “server” or “server-side” instead of “platform”, as I dislike the latter word. But it’s too inaccurate, for example in the case of the original Cognos PowerPlay, and also in various thin-client scenarios.

                                                    Key aspects of BI platform technology can include:

                                                    Read more

                                                    August 8, 2013

                                                    Curt Monash on video

                                                    I made a remarkably rumpled video appearance yesterday with SiliconAngle honchos John Furrier and Dave Vellante. (Excuses include <3 hours sleep, and then a scrambling reaction to a schedule change.) Topics covered included, with approximate timechecks:

                                                    Edit: Some of my remarks were transcribed.

                                                    Related links

                                                    December 13, 2012

                                                    Introduction to Spark, Shark, BDAS and AMPLab

                                                    UC Berkeley’s AMPLab is working on a software stack that:

                                                    The whole thing has $30 million in projected funding (half government, half industry) and a 6-year plan (which they’re 2 years into).

                                                    Specific projects of note in all that include:

                                                    Read more

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