Comments on: MapReduce sound bites

By: Winning with Data: Aster Data Systems Blog » Blog Archive » TDWI MapReduce Nightschool Recap

Fri, 14 Nov 2008 12:06:25 +0000

[...] and technology community, with recent coverage in the NY Times and by influential blogs like DBMS2, Beyond Search, and Cloud N, just to name a [...]

By: Infology.Ru » Blog Archive » Несколько тезисов о MapReduce

Infology.Ru » Blog Archive » Несколько тезисов о MapReduce — Mon, 03 Nov 2008 18:30:55 +0000

[...] Автор: Curt Monash Дата публикации оригинала: 2008-08-25 Перевод: Олег Кузьменко Источник: Блог Курта Монаша [...]

By: MapReduce links | DBMS2 -- DataBase Management System Services

MapReduce links | DBMS2 -- DataBase Management System Services — Fri, 05 Sep 2008 20:09:09 +0000

[...] Sound bites about MapReduce Share: These icons link to social bookmarking sites where readers can share and discover new web pages. [...]

By: Steve Wooledge

Steve Wooledge — Fri, 29 Aug 2008 22:18:59 +0000

Just a couple points on Aster’s implementation of MapReduce:
+ Developers can use Java, Python, C, Perl, and more
+ Aster’s In-Database MapReduce framework is a superset of MapReduce
+ Aster has a process management framework to guarantee transparency and availability

More in our whitepaper here:
http://www.asterdata.com/product/whitepaper_mapreduce.html

By: Luke Lonergan

Luke Lonergan — Thu, 28 Aug 2008 17:11:50 +0000

There is a coding tutorial available at this link in the middle of the page: http://www.greenplum.com/resources/mapreduce/

Key things to note about Greenplum’s MR implementation:
- It’s very similar in form and expression to Google and Hadoop
- Extensions for Joins and Pipelined task execution
- Native parallel file access
- Parallelism is full and transparent to the programmer

In summary: we have implemented MapReduce within which you can write SQL, Perl, Python and many more languages. It is straightforward to use MR programs written for Hadoop or Google and port them to Greenplum.

By: Database vendors add Google’s MapReduce | TechHairBall.com

Database vendors add Google’s MapReduce | TechHairBall.com — Thu, 28 Aug 2008 15:08:54 +0000

[...] "On its own, MapReduce can do a lot of important work in data manipulation and analysis. Integrating it with SQL should just increase its applicability and power," wrote Curt Monash of Monash Research, on the DBMS2 blog. [...]

By: Three approaches to parallelizing data transformation | DBMS2 -- DataBase Management System Services

Wed, 27 Aug 2008 09:21:34 +0000

[...] Sound bites about MapReduce [...]

By: Steve Wooledge

Steve Wooledge — Wed, 27 Aug 2008 00:49:27 +0000

Snarky – appreciate the discussion. On the surface, it’s easy to mis-categorize In-Database MapReduce functions as UDF’s. We’ve posted some thoughts on how they are in fact different. This is not just an attempt to revive an old brand (i.e., reinvent the wheel) http://www.asterdata.com/blog/index.php/2008/08/26/in-database-mapreduce-functions-not-your-granddaddys-udf/

By: Database vendors add Google’s MapReduce | about ICT

Database vendors add Google’s MapReduce | about ICT — Tue, 26 Aug 2008 19:38:31 +0000

By: Snarky Baloogle

Snarky Baloogle — Tue, 26 Aug 2008 06:23:48 +0000

Yuck! When I look at the AsterData whitepaper I have to think these people don’t know anything about DBMS! Do they think they’ve invented UDFs?!

For some supposedly smart people they sure don’t seem to do their homework.

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