Gartner Blogs

Excellent reading for anyone interested the subject from a technical and business/enterprise point of view. This gets rid of the FUD 'browser fingerprinting' and uses actual industry terms. https://blogs.gartner.com/martin-kihn/how-cross-device-identity-matchi… https://blogs.gartner.com/martin-kihn/how-cross-device-identity-matchi…

FWIW here's the best early analysis I've seen in terms from an industry perspective: http://blogs.gartner.com/avivah-litan/2013/12/19/what-can-we-learn-fro…

> GAF(AM)s didn't even exist a quarter of a century ago ! Yes, and look how entrenched they have become. Search engines, for example, are dominated by Google holding 80%+ for well over a decade. Even Bing, with Microsoft's deep cash coffers, can't get above 9% [1]. Facebook just went ahead and bought the biggest threats (Whatsapp, Instagram) or copied the features of competitors to destroy them (Snapchat). The only threat in the social media marketplace comes from TikTok, who are backed by the Chinese government. Twitter is tiny and Musk is driving it to the ground. Amazon, while "only" at 38% market share in e-commerce, still leaves everyone else including Wal-Mart in the dust [2]. Microsoft utterly dominates the PC and laptop market [3] as well as the office suite market [4]. Even with these multi-billion companies fighting against each other, they can't manage to land any kind of significant blows - so how should a small startup stand a chance? > P.S.: What makes you think Amazon had no competition ? Were there no other booksellers, or generalist stores selling books ? Amazon had no competition online, mostly because the competition was asleep at the wheel. And by the time the competition woke up, it was too late - and now "classic" book stores are dying out left and right, not to mention other kinds of specialized stores. Here in Munich, all the small electronics specialty stores closed down, even famous chain Conrad closed down because they couldn't compete any…

As such, Advanced Beginners can break one of two ways: they can move to Competent and start to grasp the big picture and their place in it, or they can ‘graduate’ to Expert Beginner by assuming that they’ve graduated to Expert. I think, that viewpoint is a bit narrow. The example, where the author tells the story how he started bowling the wrong way and reached a plateau, where he could not further progress, is a good one. And I'm sure there are numerous examples each one of us can tell of own experiences made when learning new skills. In my opinion learning new skills fast is a great skill. And nowadays there are many resources available to us make this easy. But you will always reach a plateau, where further progression gets increasingly difficult. It's fascinating how this corresponds to larger patterns like the Gartner Hype Cycle [1]. The question is, what do you do when you reach a plateau? Do you invest more time and money? Maybe the skill level suits you well and you don't feel a need to progress further? Maybe deeper understanding is not necessary to do your job well? Maybe it's better to acquire different skills which you can combine instead of being an expert in one area alone? I think there are many nuanced answers to that question and simply put blame on the expert beginner is not useful. [1] https://blogs.gartner.com/smarterwithgartner/files/2019/08/CTMKT_74160…

> not in any meaningful numbers. While I agree, it has to start somewhere. As a customer of both, I appreciate the competition from 1-2% per year[0] growth. [0]https://blogs.gartner.com/craig-roth/2022/08/02/market-share-for-offic…

Amazon. AWS was just a small cloud on the horizon in 2012. They are the dominant platform to run applications and (more surprisingly) now the #2 DBMS vendor according to recent Gartner numbers. That's a major change. [0] https://blogs.gartner.com/merv-adrian/2022/04/16/dbms-market-transform…

Has anyone seen companies working to solve the real world to NFT secure translations? Gartner talks a bit about it here: https://blogs.gartner.com/avivah-litan/2021/04/25/think-you-own-your-n… There are some folks tracking the incorporation of non blockchain native assets into NFTs: https://www.coindesk.com/nfts-can-bring-the-real-world-on-chain

Based on all the negativity I've seen on self driving cars, I would have guessed we were further along the hype cycle than where Gartner puts us now: https://blogs.gartner.com/smarterwithgartner/files/2019/08/CTMKT_74160…

> He seems to have jumped into the "online resources will cause the traditional university to fail" bandwagon a bit late. This consulting firm advertisement is a very useful mental model, and I think MOOCs are probably on their way up and out of the trough of disappointment into the plateau of productivity: https://blogs.gartner.com/smarterwithgartner/files/2017/08/Emerging-Te… > They won't be replaced by a disruptor, they will just no longer be able to crank out mediocre educational product to people who now realize that a Bachelor of Something Or Other from Podunk U isn't actually a ticket to the middle class. This seems likely. My model for predicting college bankruptcy has exactly one input, which is this dataset: https://ifap.ed.gov/DefaultManagement/DefaultManagement.html

In the US methods of doing things can be patented. That includes software. Look up MP3, LZW compression, or perhaps IBM's 2100 algorithm patents over the fifteen years from 2001 to 2016. It's being narrowed, but it still exists. Until rather recently many courts would recognize "do well understood process X, but on a computer" as patentable. http://blogs.gartner.com/doug-laney/patents-for-algorithms-have-increa… https://news.ycombinator.com/item?id=8310084 http://www.legalmatch.com/law-library/article/what-cant-be-patented.ht…

"I heard a couple of definitions: a data scientist is 1) a data analyst in California or 2) a statistician under 35." http://blogs.gartner.com/svetlana-sicular/data-scientist-mystified/

http://blogs.gartner.com/lydia_leong/2013/11/14/google-compute-engine-… This is a lesson about the difference between hosting your own apps and hosting customers. All internal Google apps are designed to survive failure of an entire datacenter, so it sounds like they reuse that mechanism for maintenance rather than the riskier practice of maintaining a datacenter while it's live. Getting back to Verizon, I work in an "enterprise" and scheduled multi-day datacenter maintenance tends to happen about once a year. Many of Verizon's customers would probably have no problem taking down their infrastructure for a weekend, but they feel helpless when someone else does it to them.

Well we were stuck in this... http://blogs.gartner.com/kyle-hilgendorf/2012/03/09/azure-outage-custo… The SLA would have been fine if it was accurate, which it wasn't.

http://blogs.gartner.com/hypecyclebook/files/2010/09/2010-EmergingTech… IMO MongoDB is currently in the trough of disillusionment

http://blogs.gartner.com/avivah-litan/2012/03/30/new-credit-card-data-… I think this blog post might have something to do with it. In it, she mentions that "she heard" that the breach had to do with taxi's and/or a parking garage in NYC.

I think your quote is a misinterpretation of Eric Schmidt: http://blogs.gartner.com/jeffrey_mann/2009/12/18/googles-eric-schmidt-… It's arguable, but I agree with the author of the linked post.

Of course you can. There'd be no such thing as an enforceable software patent if any company could just sponsor an open source project to implement each part of its product that infringed a patent. Presumably --- hopefully 'grellas will clear this up --- Oracle can measure damages incurred by Google supplanting Sun/Oracle Java with their own Java in terms of percentage points of global smartphone revenue. Here's some more context: http://blogs.gartner.com/brian_prentice/2009/08/06/google-open-source-…

>they've managed to do well I think you're inadvertently undermining your point. Trello wasn't profitable.[1] They were "cash-flow break even" which is also another way of saying they still had not earned enough "free cash flow" to pay back their past internal investments that got them where they currently are. Trello has private offices. Atlassian has open offices.[2] They are also profitable.[3] Atlassian was the one who bought Trello. Trello didn't buy Atlassian. Trello did not perform 2x better than Atlassian JIRA. (E.g. the ideal narrative would have been, "because Trello programmers have less interruptions than Atlassian programmers, their productivity was proven to be 2x superior and they made Atlassian JIRA obsolete.") If you want to change the hearts & minds of people like Mark Z, the Trello example is not a case study to use. [1] http://www.forbes.com/sites/alexkonrad/2016/05/23/trello-get-serious-a… [2] http://blogs.gartner.com/tom_murphy/2012/02/25/atlassian-everyone-is-o… [3] http://www.zdnet.com/article/atlassian-records-20m-profit-in-first-pub…

Well since it was an article in American Banker, yeah, I'd say that he was referring to the US. Also, thanks for the down vote based on hard facts: "probably hundreds of millions", "kinda safer". http://www.techspot.com/news/51037-trojan-bypasses-two-factor-authenti… An identity card is not a commerce solution -- there is no cost/benefit analysis for governments, they just decide which vendors should get lots of money (I know, I was one of them! Thanks governments!) We did this in the US and now there are no fake passports here in the US, we win! Ooops... http://www.schneier.com/blog/archives/2006/08/hackers_clone_r.html A card reader not hooked to the computer --- nah ,that can't be hacked: http://media.blackhat.com/bh-us-12/Briefings/C_Miller/BH_US_12_Miller_… smart card PINs, those can't be hacked: http://blogs.gartner.com/mark-diodati/2012/01/15/deja-vu-%E2%80%93-the… For a thoughtful presentation of both sides, try: http://www.kansascityfed.org/PUBLICAT/econrev/pdf/3q08sullivan.pdf I think you'll see that it concludes much the same thing as I mentioned the banks (here in the US anyway) conclude: the costs are not worth the theoretical "kinda safer" gains in security. Security is a nuanced, no-one-solution-fits-all, dynamic, evolving systems engineering problem. The adversaries are smart, but more importantly have common sense (unlike governments and consumers) - they will exploit…

One of the main ways that CDNs compare with each other is how well they manage to actually cache content and not have to go back through to your origin server; I see a lot of developers go the path you are, saying "well, that's fixed, isn't it?", but if you think about the architecture of how you build a CDN, you rapidly see that that doesn't really make sense. Yes: if you had a single server somewhere out in the cloud that was sitting in front of yours as a cache (which is how most developers seem to conceptualize this: such as running a copy of Varnish), it is easy to say "ok, I'll cache this for a day"; however, you first are going to run into limits on what can be stored on that box: there is only so much RAM, and it doesn't even make sense to cache everything anyway. You can spill the content to disk, but now it might actually be slower than just asking my server for the content, as my content might have it in RAM. This is a major differentiating factor, and some CDNs will charge more to get guaranteed access to RAM for either certain files or in certain regions or for certain amounts of data, as opposed to getting spilled off to some slower disk. However, there is also only so much disk. Even with an infinitely large and very fast disk, though, you don't have one server: in an ideal situation (Akamai), you have tens of thousands of servers at thousands of locations all over the world, and customers are going to hit the location closest to them to get the file. Now:…

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There's also Presto from fb, and Apache Drill. Phoenix seems to be on top of Hbase, which is more funkier that plain HDFS + SQL engine. Besides, right now there's a huge need for analytical engines on top of HDFS (data lake or whatever you call it) - that's why there are all of these: (shamelessly stolen from an email from drill users): - Apache Hive <https://hive.apache.org> (SQL-like, with interactive SQL thanks to the Stinger initiative) - Apache Drill <http://drill.apache.org> (ANSI SQL support) - Apache Spark <https://spark.apache.org> (Spark SQL <https://spark.apache.org/sql>, queries only, add data via Hive, RDD <https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.s… or Parquet <http://parquet.io/>) - Apache Phoenix <http://phoenix.apache.org> (built atop Apache HBase <http://hbase.apache.org>, lacks full transaction <http://en.wikipedia.org/wiki/Database_transaction> support, relational operators <http://en.wikipedia.org/wiki/Relational_operators> and some built-in functions) - Cloudera Impala <http://www.cloudera.com/content/cloudera/en/products-and-services/cdh/… (significant HiveQL support, some SQL language support, no support for indexes on its tables, importantly missing DELETE, UPDATE and INTERSECT; amongst others) - Presto <https://github.com/facebook/presto> from Facebook (can query Hive, Cassandra <http://cassandra.apache.org>, relational DBs &etc. …