Author: Ajay Ohri
Movie Review- X Men First Class
This is a movie that restores faith in the good old art of story telling with completely realistic but not in the face Computer Generated Effects.
Both Charles (as Prof X) and Erik (as Magneto) are awesome, but Erik steals the show as Michael FAsbbender plays the avenging Holocaust victim with complete and ruthless abandon. The use of Mad Men like costumes, and the flashback to history was awesome too, but the Russians were bad- same old chaps we have seen playing Russians in dozens of movies , slurring over their Rs. The interpolation of JFK, Cuban Missile Crisis and even the 1960’s chauvinistic humor really add on to this movie.
Watch it- good for both family and friends. Kevin Bacon is a steal, and lots of talented actors now join the Kevin Bacon game.
Why open source companies dont dance?
I have been pondering on this seemingly logical paradox for some time now-
1) Why are open source solutions considered technically better but not customer friendly.
2) Why do startups and app creators in social media or mobile get much more press coverage than
profitable startups in enterprise software.
3) How does tech journalism differ in covering open source projects in enterprise versus retail software.
4) What are the hidden rules of the game of enterprise software.
Some observations-
1) Open source companies often focus much more on technical community management and crowd sourcing code. Traditional software companies focus much more on managing the marketing community of customers and influencers. Accordingly the balance of power is skewed in favor of techies and R and D in open source companies, and in favor of marketing and analyst relations in traditional software companies.
Traditional companies also spend much more on hiring top notch press release/public relationship agencies, while open source companies are both financially and sometimes ideologically opposed to older methods of marketing software. The reverse of this is you are much more likely to see Videos and Tutorials by an open source company than a traditional company. You can compare the websites of Cloudera, DataStax, Hadapt ,Appistry and Mapr and contrast that with Teradata or Oracle (which has a much bigger and much more different marketing strategy.
Social media for marketing is also more efficiently utilized by smaller companies (open source) while bigger companies continue to pay influential analysts for expensive white papers that help present the brand.
Lack of budgets is a major factor that limits access to influential marketing for open source companies particularly in enterprise software.
2 and 3) Retail software is priced at 2-100$ and sells by volume. Accordingly technology coverage of these software is based on volume.
Enterprise software is much more expensively priced and has much more discreet volume or sales points. Accordingly the technology coverage of enterprise software is more discreet, in terms of a white paper coming every quarter, a webinar every month and a press release every week. Retail software is covered non stop , but these journalists typically do not charge for “briefings”.
Journalists covering retail software generally earn money by ads or hosting conferences. So they have an interest in covering new stuff or interesting disruptive stuff. Journalists or analysts covering enterprise software generally earn money by white papers, webinars, attending than hosting conferences, writing books. They thus have a much stronger economic incentive to cover existing landscape and technologies than smaller startups.
4) What are the hidden rules of the game of enterprise software.
- It is mostly a white man’s world. this can be proved by statistical demographic analysis
- There is incestuous intermingling between influencers, marketers, and PR people. This can be proved by simple social network analysis of who talks to who and how much. A simple time series between sponsorship and analysts coverage also will prove this (I am working on quantifying this ).
- There are much larger switching costs to enterprise software than retail software. This leads to legacy shoddy software getting much chances than would have been allowed in an efficient marketplace.
- Enterprise software is a less efficient marketplace than retail software in all definitions of the term “efficient markets”
- Cloud computing, and SaaS and Open source threatens to disrupt the jobs and careers of a large number of people. In the long term, they will create many more jobs, but in the short term, people used to comfortable living of enterprise software (making,selling,or writing) will actively and passively resist these changes to the paradigms in the current software status quo.
- Open source companies dont dance and dont play ball. They prefer to hire 4 more college grads than commission 2 more white papers.
and the following with slight changes from a comment I made on a fellow blog-
- While the paradigm on how to create new software has evolved from primarily silo-driven R and D departments to a broader collaborative effort, the biggest drawback is software marketing has not evolved.
- If you want your own version of the open source community editions to be more popular, some standardization is necessary for the corporate decision makers, and we need better marketing paradigms.
- While code creation is crowdsourced, solution implementation cannot be crowdsourced. Customers want solutions to a problem not code.
- Just as open source as a production and licensing paradigm threatens to disrupt enterprise software, it will lead to newer ways to marketing software given the hostility of existing status quo.
Why open source companies dont dance?
I have been pondering on this seemingly logical paradox for some time now-
1) Why are open source solutions considered technically better but not customer friendly.
2) Why do startups and app creators in social media or mobile get much more press coverage than
profitable startups in enterprise software.
3) How does tech journalism differ in covering open source projects in enterprise versus retail software.
4) What are the hidden rules of the game of enterprise software.
Some observations-
1) Open source companies often focus much more on technical community management and crowd sourcing code. Traditional software companies focus much more on managing the marketing community of customers and influencers. Accordingly the balance of power is skewed in favor of techies and R and D in open source companies, and in favor of marketing and analyst relations in traditional software companies.
Traditional companies also spend much more on hiring top notch press release/public relationship agencies, while open source companies are both financially and sometimes ideologically opposed to older methods of marketing software. The reverse of this is you are much more likely to see Videos and Tutorials by an open source company than a traditional company. You can compare the websites of Cloudera, DataStax, Hadapt ,Appistry and Mapr and contrast that with Teradata or Oracle (which has a much bigger and much more different marketing strategy.
Social media for marketing is also more efficiently utilized by smaller companies (open source) while bigger companies continue to pay influential analysts for expensive white papers that help present the brand.
Lack of budgets is a major factor that limits access to influential marketing for open source companies particularly in enterprise software.
2 and 3) Retail software is priced at 2-100$ and sells by volume. Accordingly technology coverage of these software is based on volume.
Enterprise software is much more expensively priced and has much more discreet volume or sales points. Accordingly the technology coverage of enterprise software is more discreet, in terms of a white paper coming every quarter, a webinar every month and a press release every week. Retail software is covered non stop , but these journalists typically do not charge for “briefings”.
Journalists covering retail software generally earn money by ads or hosting conferences. So they have an interest in covering new stuff or interesting disruptive stuff. Journalists or analysts covering enterprise software generally earn money by white papers, webinars, attending than hosting conferences, writing books. They thus have a much stronger economic incentive to cover existing landscape and technologies than smaller startups.
4) What are the hidden rules of the game of enterprise software.
- It is mostly a white man’s world. this can be proved by statistical demographic analysis
- There is incestuous intermingling between influencers, marketers, and PR people. This can be proved by simple social network analysis of who talks to who and how much. A simple time series between sponsorship and analysts coverage also will prove this (I am working on quantifying this ).
- There are much larger switching costs to enterprise software than retail software. This leads to legacy shoddy software getting much chances than would have been allowed in an efficient marketplace.
- Enterprise software is a less efficient marketplace than retail software in all definitions of the term “efficient markets”
- Cloud computing, and SaaS and Open source threatens to disrupt the jobs and careers of a large number of people. In the long term, they will create many more jobs, but in the short term, people used to comfortable living of enterprise software (making,selling,or writing) will actively and passively resist these changes to the paradigms in the current software status quo.
- Open source companies dont dance and dont play ball. They prefer to hire 4 more college grads than commission 2 more white papers.
and the following with slight changes from a comment I made on a fellow blog-
- While the paradigm on how to create new software has evolved from primarily silo-driven R and D departments to a broader collaborative effort, the biggest drawback is software marketing has not evolved.
- If you want your own version of the open source community editions to be more popular, some standardization is necessary for the corporate decision makers, and we need better marketing paradigms.
- While code creation is crowdsourced, solution implementation cannot be crowdsourced. Customers want solutions to a problem not code.
- Just as open source as a production and licensing paradigm threatens to disrupt enterprise software, it will lead to newer ways to marketing software given the hostility of existing status quo.
Predictive Analytics World
Here is an announcement from Predictive Analytics World, the worlds largest vendor neutral conference dedicated to Predictive Analytics alone. Decisionstats has been a blog partner of PAWCON since inception. This is cool stuff!
|
||||||||||||||||||
Here comes Cassandra!
What is Cassandra? Why is this relevant to analytics?
It is the next generation Database that you want your analytics software to be compatible with. Also it is quite easy to learn. Did I mention that if you say “I know how to Hadoop/Big Data” on your resume, you just raised your market price by an extra 30 K$. I mean there is a big demand for analysts and statisticians who can think/slice data from a business perspective AND write that HADOOP/Big Data code.
How do I learn more?
http://www.datastax.com/events/cassandrasf2011
Whats in it for you?
Well, I shifted my poetry to https://poemsforkush.wordpress.com/
On Decisionstats.com This is what I love to write about! I find it cool.
——————————————————–
Cassandra SF 2011- Monday, July 11
It’s been almost a year since the first Apache Cassandra Summit in San Francisco. Once again we’ve reserved the beautiful Mission Bay Conference Center. Because the Cassandra community has grown so much in the last year, we’re taking the entire venue. This year’s event will not only include Cassandra, but also Brisk, Apache Hadoop, and more.
What’s in-store for this year’s conference?
We have two rooms set aside for presentations.This year we also have multiple rooms set aside for Birds of a Feather talks, committer meetups, and other small discussions.
We’ve sent out surveys to all the attendees of last year’s conference, as well as a few hundred other members of the community. Below are some of the topics people have requested so far.
If you have topics you’d like to see covered, or you would like to submit a presentation, send a note to lynnbender@datastax.com.
What else?
We’ll be providing lunch as well as continuous beverage service — so that you won’t have to take your mind outside the information windtunnel.
We’ll also be hosting a post event party. Details coming shortly.
For more information…
Submissions and suggestions: If you wish to propose a talk or presentation, or have a suggestion on a topic you’d like to see covered, send a note to Lynn Bender at lynnbender@datastax.com
Sponsorship opportunities: Contact Michael Weir at DataStax: mweir@datastax.com
Apache Cassandra, Cassandra, Apache Hadoop, Hadoop, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission as of 2011. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by DataStax.
Welcome to Apache Cassandra
The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo’s fully distributed design and Bigtable’s ColumnFamily-based data model.
Cassandra was open sourced by Facebook in 2008, and is now developed by Apache committers and contributors from many companies.
Download
Overview
- ProvenCassandra is in use at Digg, Facebook,Twitter, Reddit, Rackspace, Cloudkick, Cisco, SimpleGeo, Ooyala, OpenX, and more companiesthat have large, active data sets. The largest production cluster has over 100 TB of data in over 150 machines.
- Fault TolerantData is automatically replicated to multiple nodes for fault-tolerance. Replication across multiple data centers is supported. Failed nodes can be replaced with no downtime.
- DecentralizedEvery node in the cluster is identical. There are no network bottlenecks. There are no single points of failure.
- You’re in ControlChoose between synchronous or asynchronous replication for each update. Highly available asynchronus operations are optimized with features like Hinted Handoffand Read Repair.
- Rich Data ModelAllows efficient use for many applications beyond simple key/value.
- ElasticRead and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications.
- DurableCassandra is suitable for applications that can’t afford to lose data, even when an entire data center goes down.
- Professionally SupportedCassandra support contracts and services are available from third partie
Related articles
- DataStax Rewires Hadoop with Apache Cassandra (datacenterknowledge.com)
Predictive Analytics World
Here is an announcement from Predictive Analytics World, the worlds largest vendor neutral conference dedicated to Predictive Analytics alone. Decisionstats has been a blog partner of PAWCON since inception. This is cool stuff!
|
||||||||||||||||||
|
||||||||||||||||||
Related articles
- Predictive Analytics World Conference – New York City and London, UK (decisionstats.com)
- Tom Davenport to Keynote at PAW New York (decisionstats.com)












