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  • MongoDB

    Discussion of MongoDB and its sponsoring company 10gen.

    November 23, 2016

    DBAs of the future

    After a July visit to DataStax, I wrote

    The idea that NoSQL does away with DBAs (DataBase Administrators) is common. It also turns out to be wrong. DBAs basically do two things.

    • Handle the database design part of application development. In NoSQL environments, this part of the job is indeed largely refactored away. More precisely, it is integrated into the general app developer/architect role.
    • Manage production databases. This part of the DBA job is, if anything, a bigger deal in the NoSQL world than in more mature and automated relational environments. It’s likely to be called part of “devops” rather than “DBA”, but by whatever name it’s very much a thing.

    That turns out to understate the core point, which is that DBAs still matter in non-RDBMS environments. Specifically, it’s too narrow in two ways.

    My wake-up call for that latter bit was a recent MongoDB 3.4 briefing. MongoDB certainly has various efforts in administrative tools, which I won’t recapitulate here. But to my surprise, MongoDB also found a role for something resembling relational database design. The idea is simple: A database administrator defines a view against a MongoDB database, where views: Read more

    November 23, 2016

    MongoDB 3.4 and “multimodel” query

    “Multimodel” database management is a hot new concept these days, notwithstanding that it’s been around since at least the 1990s. My clients at MongoDB of course had to join the train as well, but they’ve taken a clear and interesting stance:

    When I pointed out that it would make sense to call this “multimodel query” — because the storage isn’t “multimodel” at all — they quickly agreed.

    To be clear: While there are multiple ways to read data in MongoDB, there’s still only one way to write it. Letting that sink in helps clear up confusion as to what about MongoDB is or isn’t “multimodel”. To spell that out a bit further: Read more

    July 19, 2016

    Notes on vendor lock-in

    Vendor lock-in is an important subject. Everybody knows that. But few of us realize just how complicated the subject is, nor how riddled it is with paradoxes. Truth be told, I wasn’t fully aware either. But when I set out to write this post, I found that it just kept growing longer.

    1. The most basic form of lock-in is:

    2. Enterprise vendor standardization is closely associated with lock-in. The core idea is that you have a mandate or strong bias toward having different apps run over the same platforms, because:

    3. That last point is double-edged; you have more power over suppliers to whom you give more business, but they also have more power over you. The upshot is often an ELA (Enterprise License Agreement), which commonly works:

    Read more

    October 15, 2015

    Basho and Riak

    Basho was on my (very short) blacklist of companies with whom I refuse to speak, because they have lied about the contents of previous conversations. But Tony Falco et al. are long gone from the company. So when Basho’s new management team reached out, I took the meeting.

    For starters:

    Basho’s product line has gotten a bit confusing, but as best I understand things the story is:

    Technical notes on some of that include:? Read more

    October 15, 2015

    Couchbase 4.0 and related subjects

    I last wrote about Couchbase in November, 2012, around the time of Couchbase 2.0. One of the many new features I mentioned then was secondary indexing. Ravi Mayuram just checked in to tell me about Couchbase 4.0. One of the important new features he mentioned was what I think he said was Couchbase’s “first version” of secondary indexing. Obviously, I’m confused.

    Now that you’re duly warned, let me remind you of aspects of Couchbase timeline.

    Technical notes on Couchbase 4.0 — and related riffs ?? — start: Read more

    September 10, 2015

    MongoDB update

    One pleasure in talking with my clients at MongoDB is that few things are NDA. So let’s start with some numbers:

    Also >530 staff, and I think that number is a little out of date.

    MongoDB lacks many capabilities RDBMS users take for granted. MongoDB 3.2, which I gather is slated for early November, narrows that gap, but only by a little. Features include:

    There’s also a closed-source database introspection tool coming, currently codenamed MongoDB Scout.? Read more

    July 7, 2015

    Zoomdata and the Vs

    Let’s start with some terminology biases:

    So when my clients at Zoomdata told me that they’re in the business of providing “the fastest visual analytics for big data”, I understood their choice, but rolled my eyes anyway. And then I immediately started to check how their strategy actually plays against the “big data” Vs.

    It turns out that:

    *The HDFS/S3 aspect seems to be a major part of Zoomdata’s current story.

    Core aspects of Zoomdata’s technical strategy include:? Read more

    May 26, 2015

    IT-centric notes on the future of health care

    It’s difficult to project the rate of IT change in health care, because:

    Timing aside, it is clear that health care change will be drastic. The IT part of that starts with vastly comprehensive electronic health records, which will be accessible (in part or whole as the case may be) by patients, care givers, care payers and researchers alike. I expect elements of such records to include:

    These vastly greater amounts of data cited above will allow for greatly changed analytics.
    Read more

    March 15, 2015

    BI for NoSQL — some very early comments

    Over the past couple years, there have been various quick comments and vague press releases about “BI for NoSQL”. I’ve had trouble, however, imagining what it could amount to that was particularly interesting, with my confusion boiling down to “Just what are you aggregating over what?” Recently I raised the subject with a few leading NoSQL companies. The result is that my confusion was expanded. ?? Here’s the small amount that I have actually figured out.

    As I noted in a recent post about data models, many databases — in particular SQL and NoSQL ones — can be viewed as collections of <name, value> pairs.

    Consequently, a NoSQL database can often be viewed as a table or a collection of tables, except that:

    That’s all straightforward to deal with if you’re willing to write scripts to extract the NoSQL data and transform or aggregate it as needed. But things get tricky when you try to insist on some kind of point-and-click. And by the way, that last comment pertains to BI and ETL (Extract/Transform/Load) alike. Indeed, multiple people I talked with on this subject conflated BI and ETL, and they were probably right to do so.

    Read more

    February 22, 2015

    Data models

    7-10 years ago, I repeatedly argued the viewpoints:

    Since then, however:

    So it’s probably best to revisit all that in a somewhat organized way.

    Read more

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