天天网官方

<bdo id="ug3eo"><b id="ug3eo"></b></bdo>

  • <tt id="ug3eo"><source id="ug3eo"><td id="ug3eo"></td></source></tt>
  • <bdo id="ug3eo"><input id="ug3eo"><p id="ug3eo"></p></input></bdo>

  • <bdo id="ug3eo"><b id="ug3eo"><tr id="ug3eo"></tr></b></bdo>

      Hadoop

      Discussion of Hadoop. Related subjects include:

      MapReduce
      Open source database management systems

      August 22, 2017

      Imanis Data

      I talked recently with the folks at Imanis Data. For starters:

      Read more

      August 10, 2017

      Notes on data security

      1. In June I wrote about burgeoning interest in data security. I’d now like to add:

      We can reconcile these anecdata pretty well if we postulate that:

      2. My current impressions of the legal privacy vs. surveillance tradeoffs are basically: Read more

      June 16, 2017

      Generally available Kudu

      I talked with Cloudera about Kudu in early May. Besides giving me a lot of information about Kudu, Cloudera also helped confirm some trends I’m seeing elsewhere, including:

      Now let’s talk about Kudu itself. As I discussed at length in September 2015, Kudu is:

      Kudu’s adoption and roll-out story starts: Read more

      June 14, 2017

      The data security mess

      A large fraction of my briefings this year have included a focus on data security. This is the first year in the past 35 that that’s been true.* I believe that reasons for this trend include:

      *Not really an exception: I did once make it a project to learn about classic network security, including firewall appliances and so on.

      Certain security requirements, desires or features keep coming up. These include (and as in many of my lists, these overlap):

      More specific or extreme requirements include:? Read more

      June 14, 2017

      Light-touch managed services

      Cloudera recently introduced Cloudera Altus, a Hadoop-in-the-cloud offering with an interesting processing model:

      Thus, you avoid a potential security risk (shipping your data to Cloudera’s service). I’ve tentatively named this strategy light-touch managed services, and am interested in exploring how broadly applicable it might or might not be.

      For light-touch to be a good approach, there should be (sufficiently) little downside in performance, reliability and so on from having your service not actually control the data. That assumption is trivially satisfied in the case of Cloudera Altus, because it’s not an ordinary kind of app; rather, its whole function is to improve the job-running part of your stack. Most kinds of apps, however, want to operate on your data directly. For those, it is more challenging to meet acceptable SLAs (Service-Level Agreements) on a light-touch basis.

      Let’s back up and consider what “light-touch” for data-interacting apps (i.e., almost all apps) would actually mean. The basics are:? Read more

      June 14, 2017

      Cloudera Altus

      I talked with Cloudera before the recent release of Altus. In simplest terms, Cloudera’s cloud strategy aspires to:

      In other words, Cloudera is porting its software to an important new platform.* And this port isn’t complete yet, in that Altus is geared only for certain workloads. Specifically, Altus is focused on “data pipelines”, aka data transformation, aka “data processing”, aka new-age ETL (Extract/Transform/Load). (Other kinds of workload are on the roadmap, including several different styles of Impala use.) So what about that is particularly interesting? Well, let’s drill down.

      *Or, if you prefer, improving on early versions of the port.

      Read more

      March 19, 2017

      Cloudera’s Data Science Workbench

      0. Matt Brandwein of Cloudera briefed me on the new Cloudera Data Science Workbench. The problem it purports to solve is:

      Cloudera’s idea for a third way is:

      In theory, that’s pure goodness … assuming that the automagic works sufficiently well. I gather that Cloudera Data Science Workbench has been beta tested by 5 large organizations and many 10s of users. We’ll see what is or isn’t missing as more customers take it for a spin.

      Read more

      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

      October 3, 2016

      Notes 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:

      Further, there’s always the idea of hybrid cloud, in which a vendor peddles private cloud systems (usually appliances) running similar technology stacks to what they run in their proprietary public clouds. A number of vendors have backed away from such stories, but a few are still pushing it, including Oracle and Microsoft.

      This is a good example of Monash’s Laws of Commercial Semantics.

      2. Due to economies of scale, only a few companies should operate their own data centers, aka true on-prem(ises). The rest should use some combination of colo, SaaS, and public cloud.

      This fact now seems to be widely understood.

      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

      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.

      <bdo id="ug3eo"><b id="ug3eo"></b></bdo>

    1. <tt id="ug3eo"><source id="ug3eo"><td id="ug3eo"></td></source></tt>
    2. <bdo id="ug3eo"><input id="ug3eo"><p id="ug3eo"></p></input></bdo>

    3. <bdo id="ug3eo"><b id="ug3eo"><tr id="ug3eo"></tr></b></bdo>

        m88|体育

        球探比分即时足球比分

        体育投注网皇冠足球开户

        百万彩票首页

        亿博|体育

        澳门新濠天地娱乐官网

        真人888真人娱乐

        mc彩票网站登陆

        杏耀平台登录