More notes on the transition to the cloud
Last year I posted observations about the transition to the cloud. Here are some further thoughts. 0. In case any doubt remained, the big questions about transitioning to the cloud are “When?” and...
View ArticleNotes on the transition to the cloud
1. The cloud is super-hot. Duh. And so, like any hot buzzword, “cloud” means different things to different marketers. Four of the biggest things that have been called “cloud” are: The Amazon cloud,...
View ArticleClik here to view.
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...
View ArticleClik here to view.
Notes on DataStax and Cassandra
I visited DataStax on my recent trip. That was a tipping point leading to my recent discussions of NoSQL DBAs and misplaced fear of vendor lock-in. But of course I also learned some things about...
View ArticleNotes 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...
View ArticleNotes from a long trip, July 19, 2016
For starters: I spent three weeks in California on a hybrid personal/business trip. I had a bunch of meetings, but not three weeks’ worth. The timing was awkward for most companies I wanted to see. No...
View ArticleClik here to view.
Governments vs. tech companies — it’s complicated
Numerous tussles fit the template: A government wants access to data contained in one or more devices (mobile/personal or server as the case may be). The computer’s manufacturer or operator doesn’t...
View ArticleKafka and Confluent
For starters: Kafka has gotten considerable attention and adoption in streaming. Kafka is open source, out of LinkedIn. Folks who built it there, led by Jay Kreps, now have a company called Confluent....
View ArticleClik here to view.
Cloudera in the cloud(s)
Cloudera released Version 2 of Cloudera Director, which is a companion product to Cloudera Manager focused specifically on the cloud. This led to a discussion about — you guessed it! — Cloudera and the...
View ArticleOracle as the new IBM — has a long decline started?
When I find myself making the same observation fairly frequently, that’s a good impetus to write a post based on it. And so this post is based on the thought that there are many analogies between:...
View ArticleTransitioning to the cloud(s)
There’s a lot of talk these days about transitioning to the cloud, by IT customers and vendors alike. Of course, I have thoughts on the subject, some of which are below. 1. The economies of scale of...
View ArticleClik here to view.
Machine learning’s connection to (the rest of) AI
This is part of a four post series spanning two blogs. One post gives a general historical overview of the artificial intelligence business. One post specifically covers the history of expert systems....
View ArticleDifferentiation in data management
In the previous post I broke product differentiation into 6-8 overlapping categories, which may be abbreviated as: Scope Accuracy (Other) trustworthiness Speed User experience Cost and sometimes also...
View ArticleClik here to view.
Notes on the Hortonworks IPO S-1 filing
Given my stock research experience, perhaps I should post about Hortonworks’ initial public offering S-1 filing. For starters, let me say: Hortonworks’ subscription revenues for the 9 months ended last...
View ArticleThoughts 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...
View ArticleClik here to view.
An idealized log management and analysis system — from whom?
I’ve talked with many companies recently that believe they are: Focused on building a great data management and analytic stack for log management … … unlike all the other companies that might be saying...
View Article21st Century DBMS success and failure
As part of my series on the keys to and likelihood of success, I outlined some examples from the DBMS industry. The list turned out too long for a single post, so I split it up by millennia. The part...
View ArticleNoSQL vs. NewSQL vs. traditional RDBMS
I frequently am asked questions that boil down to: When should one use NoSQL? When should one use a new SQL product (NewSQL or otherwise)? When should one use a traditional RDBMS (most likely Oracle,...
View ArticleDistinctions in SQL/Hadoop integration
Ever more products try to integrate SQL with Hadoop, and discussions of them seem confused, in line with Monash’s First Law of Commercial Semantics. So let’s draw some distinctions, starting with (and...
View ArticleRDBMS and their bundle-mates
Relational DBMS used to be fairly straightforward product suites, which boiled down to: A big SQL interpreter. A bunch of administrative and operational tools. Some very optional add-ons, often...
View Article
![ONEW – KAKERA -Unmei no Piece- – EP [iTunes Plus M4A]](http://is1-ssl.mzstatic.com/image/thumb/Music221/v4/d0/fb/86/d0fb86a5-ba60-4bea-41fb-7f54c125f518/VEATP-45908.jpg/296x296bb.webp)
/pic9814888.png)
