Comments on: What’s After Excel? Big Data and the Future of Spreadsheets http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/ because technology is just another ecosystem Wed, 25 Jan 2012 16:19:42 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Coté's People Over Process » Everything but cloud at Microsoft TechEd 2010 http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-624977 Coté's People Over Process » Everything but cloud at Microsoft TechEd 2010 Sat, 12 Jun 2010 01:16:46 +0000 http://redmonk.com/sogrady/?p=3174#comment-624977 [...] actually. RedMonk’s Stephen O’Grady regularly writes up Big Data topics (e.g., coverage on big data and the future of spreasheets) and we all spend a lot of time thinking about this kind of BI for the masses stuff. Crossed with [...] [...] actually. RedMonk’s Stephen O’Grady regularly writes up Big Data topics (e.g., coverage on big data and the future of spreasheets) and we all spend a lot of time thinking about this kind of BI for the masses stuff. Crossed with [...]

]]> By: tecosystems » Big Data, Big Sheets, and Hadoop: Interviews with IBM’s Rod Smith http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-604192 tecosystems » Big Data, Big Sheets, and Hadoop: Interviews with IBM’s Rod Smith Tue, 16 Mar 2010 19:45:12 +0000 http://redmonk.com/sogrady/?p=3174#comment-604192 [...] which was why we wanted to get him on camera. Given that I’ve been following his Big Sheets application with interest since Hadoopworld, we were pleased to be able to catch up with him for a couple of [...] [...] which was why we wanted to get him on camera. Given that I’ve been following his Big Sheets application with interest since Hadoopworld, we were pleased to be able to catch up with him for a couple of [...]

]]> By: Amir Netz http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-576528 Amir Netz Tue, 24 Nov 2009 15:28:32 +0000 http://redmonk.com/sogrady/?p=3174#comment-576528 Well... Microsoft moved the bar again: In Office 2010 Excel will be able to manage and analyze 100+ million rows in memory in blinding spead. All on the desktop with no need for Hadoop clusters. Search for PowerPivot for more info. Some cool videos are available. Well… Microsoft moved the bar again: In Office 2010 Excel will be able to manage and analyze 100+ million rows in memory in blinding spead. All on the desktop with no need for Hadoop clusters.

Search for PowerPivot for more info. Some cool videos are available.

]]> By: Jamie http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-576400 Jamie Tue, 24 Nov 2009 05:19:26 +0000 http://redmonk.com/sogrady/?p=3174#comment-576400 With PowerPivots and Excel, now I can do in memory BI on top of DW directly, 10, 20m+ rows of data. how big do i need now? With PowerPivots and Excel, now I can do in memory BI on top of DW directly, 10, 20m+ rows of data. how big do i need now?

]]> By: Niraj http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-575834 Niraj Fri, 20 Nov 2009 21:28:06 +0000 http://redmonk.com/sogrady/?p=3174#comment-575834 Feels great to see a post that amplifies my viewpoint here http://blog.gandalf-lab.com/2009/03/how-many-computers-does-world-need.html IMHO - Just as Excel skills are must have for an MBA program today, Some form of Mahout and Hadoop skills will be must have in future MBA programs. Using Collaborative Filters , Bayesian filter etc on large company datasets will be daily jobs for Managers. Feels great to see a post that amplifies my viewpoint here http://blog.gandalf-lab.com/2009/03/how-many-computers-does-world-need.html

IMHO – Just as Excel skills are must have for an MBA program today, Some form of Mahout and Hadoop skills will be must have in future MBA programs. Using Collaborative Filters , Bayesian filter etc on large company datasets will be daily jobs for Managers.

]]> By: Emil Eifrem http://redmonk.com/sogrady/2009/11/19/whats-after-excel-big-data-and-the-future-of-spreadsheets/comment-page-1/#comment-575708 Emil Eifrem Fri, 20 Nov 2009 00:13:14 +0000 http://redmonk.com/sogrady/?p=3174#comment-575708 I agree that big data is a noble and important goal. And while the backend tools for handling big data is progressing nicely, it seems like very little work is being done on the frontend toolchain. But *complex* data -- i.e. data that is intertwined, semi-structured, highly connected, irregular -- is probably even more relevant for the majority of the people out there. A lot of folks run into problems with joins (due to graph-shaped data) and sparse tables (due to semi-structured data) long before their data sets are even moderately large by Hadoop standards. And a concern for me right now is that in the whole #nosql jungle, most focus on scaling to size and very few on scaling to complexity. That is unfortunate since I think coping with complexity is the more relevant problem for a larger slice of the population. But I'm biased. :) Anyway, I ranted a bit more about this here: http://blogs.neotechnology.com/emil/2009/11/nosql-scaling-to-size-and-scaling-to-complexity.html Would love to hear your feedback! -EE I agree that big data is a noble and important goal. And while the backend tools for handling big data is progressing nicely, it seems like very little work is being done on the frontend toolchain.

But *complex* data — i.e. data that is intertwined, semi-structured, highly connected, irregular — is probably even more relevant for the majority of the people out there. A lot of folks run into problems with joins (due to graph-shaped data) and sparse tables (due to semi-structured data) long before their data sets are even moderately large by Hadoop standards.

And a concern for me right now is that in the whole #nosql jungle, most focus on scaling to size and very few on scaling to complexity. That is unfortunate since I think coping with complexity is the more relevant problem for a larger slice of the population. But I’m biased. :)

Anyway, I ranted a bit more about this here:

http://blogs.neotechnology.com/emil/2009/11/nosql-scaling-to-size-and-scaling-to-complexity.html

Would love to hear your feedback!

-EE

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