摩臣3|平台

                                          December 18, 2016

                                          Introduction to Crate.io and CrateDB

                                          Crate.io and CrateDB basics include:

                                          In essence, CrateDB is an open source and less mature alternative to MemSQL. The opportunity for MemSQL and CrateDB alike exists in part because analytic RDBMS vendors didn’t close it off.

                                          CrateDB’s not-just-relational story starts:

                                          Read more

                                          September 6, 2016

                                          “Real-time” is getting real

                                          I’ve been an analyst for 35 years, and debates about “real-time” technology have run through my whole career. Some of those debates are by now pretty much settled. In particular:

                                          A big issue that does remain open is: How fresh does data need to be? My preferred summary answer is: As fresh as is needed to support the best decision-making. I think that formulation starts with several advantages:

                                          Straightforward applications of this principle include: Read more

                                          August 28, 2016

                                          Are analytic RDBMS and data warehouse appliances obsolete?

                                          I used to spend most of my time — blogging and consulting alike — on data warehouse appliances and analytic DBMS. Now I’m barely involved with them. The most obvious reason is that there have been drastic changes in industry structure:

                                          Simply reciting all that, however, begs the question of whether one should still care about analytic RDBMS at all.

                                          My answer, in a nutshell, is:

                                          Analytic RDBMS — whether on premises in software, in the form of data warehouse appliances, or in the cloud — are still great for hard-core business intelligence, where “hard-core” can refer to ad-hoc query complexity, reporting/dashboard concurrency, or both. But they aren’t good for much else.

                                          Read more

                                          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

                                          May 20, 2015

                                          MemSQL 4.0

                                          I talked with my clients at MemSQL about the release of MemSQL 4.0. Let’s start with the reminders:

                                          The main new aspects of MemSQL 4.0 are:

                                          There’s also a new free MemSQL “Community Edition”. MemSQL hopes you’ll experiment with this but not use it in production. And MemSQL pricing is now wholly based on RAM usage, so the column store is quasi-free from a licensing standpoint is as well.

                                          Read more

                                          April 16, 2015

                                          Notes on indexes and index-like structures

                                          Indexes are central to database management.

                                          Perhaps it’s time for a round-up post on indexing. ??

                                          1. First, let’s review some basics. Classically:

                                          2. Further:? Read more

                                          December 7, 2014

                                          Hadoop’s next refactoring?

                                          I believe in all of the following trends:

                                          Trickier is the meme that Hadoop is “the new OS”. My thoughts on that start:

                                          There is also a minor issue that if you distribute your Hadoop work among extra nodes you might have to pay a bit more to your Hadoop distro support vendor. Fortunately, the software industry routinely solves more difficult pricing problems than that.

                                          Read more

                                          November 30, 2014

                                          Thoughts and notes, Thanksgiving weekend 2014

                                          I’m taking a few weeks defocused from work, as a kind of grandpaternity leave. That said, the venue for my Dances of Infant Calming is a small-but-nice apartment in San Francisco, so a certain amount of thinking about tech industries is inevitable. I even found time last Tuesday to meet or speak with my clients at WibiData, MemSQL, Cloudera, Citus Data, and MongoDB. And thus:

                                          1. I’ve been sloppy in my terminology around “geo-distribution”, in that I don’t always make it easy to distinguish between:

                                          The latter case can be subdivided further depending on whether multiple copies of the data can accept first writes (aka active-active, multi-master, or multi-active), or whether there’s a clear single master for each part of the database.

                                          What made me think of this was a phone call with MongoDB in which I learned that the limit on number of replicas had been raised from 12 to 50, to support the full-replication/latency-reduction use case.

                                          2. Three years ago I posted about agile (predictive) analytics. One of the points was:

                                          … if you change your offers, prices, ad placement, ad text, ad appearance, call center scripts, or anything else, you immediately gain new information that isn’t well-reflected in your previous models.

                                          Subsequently I’ve been hearing more about predictive experimentation such as bandit testing. WibiData, whose views are influenced by a couple of Very Famous Department Store clients (one of which is Macy’s), thinks experimentation is quite important. And it could be argued that experimentation is one of the simplest and most direct ways to increase the value of your data.

                                          3. I’d further say that a number of developments, trends or possibilities I’m seeing are or could be connected. These include agile and experimental predictive analytics in general, as noted in the previous point, along with:? 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 1, 2014

                                          MemSQL update

                                          I stopped by MemSQL last week, and got a range of new or clarified information. For starters:

                                          On the more technical side: Read more

                                          Next Page →

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

                                          Login

                                          Search our blogs and white papers

                                          Monash Research blogs

                                          User consulting

                                          Building a short list? Refining your strategic plan? We can help.

                                          Vendor advisory

                                          We tell vendors what's happening -- and, more important, what they should do about it.

                                          Monash Research highlights

                                          Learn about white papers, webcasts, and blog highlights, by RSS or email.

                                                                                  city

                                                                                  car

                                                                                  mailbox

                                                                                  culture

                                                                                  Go abroad

                                                                                  Finance

                                                                                  game

                                                                                  Foreign exchange

                                                                                  image