[dba-Tech] [AccessD] The direction of data processing

Jim Lawrence accessd at shaw.ca
Mon Jan 27 13:40:00 CST 2014


Hi All:

Recently heard a commentary on a package call FuseOver.

(http://code.google.com/p/s3fs/wiki/FuseOverAmazon). 

It will supposedly connect and extend your PC (I think it is only a Linux version at the moment but tech has a way of progressing fast) into your Amazon account. You will just see that Cloud as just another mounted drive. There is supposed to be a Android app like that as well.

Once mounted, just enter df (similar to dir in Windows) and you will see all the drive space that is available to you: size 256TB...now that is enough to make anyone tinkle. We would probably go broke before we filled it.

Jim  

----- Original Message -----
From: "Salakhetdinov Shamil" <mcp2004 at mail.ru>
To: "Access Developers discussion and problem solving" <accessd at databaseadvisors.com>
Sent: Monday, January 27, 2014 2:43:43 AM
Subject: Re: [AccessD] The direction of data processing

 Hi Gustav --

Yes, I've seen that Hadoop is hosted on Windows Azure but the price seems to be high(?) - and Amazon EMR ( http://aws.amazon.com/elasticmapreduce/pricing/ ) hosting proposals are more affordable?

Forgot to mention - Cassandra ( http://cassandra.apache.org/ ) is the third noSQL in my list. 

Thank you.

-- Shamil


Monday, January 27, 2014 10:55 AM +01:00 from "Gustav Brock" <gustav at cactus.dk>:
>Hi Shamil
>
>Yes, and Hadoop even runs at Azure:
>
>http://www.windowsazure.com/en-us/documentation/services/hdinsight
>
>/gustav
>
>-----Oprindelig meddelelse-----
>Fra:  accessd-bounces at databaseadvisors.com [mailto:accessd-bounces at databaseadvisors.com] På vegne af Salakhetdinov Shamil
>Sendt: 27. januar 2014 09:38
>Til: Access Developers discussion and problem solving
>Emne: Re: [AccessD] The direction of data processing
>
> Hi Jim and Gustav --
>
><<<
>What a moment to bring a potent Oracle server on its knees. That must have been a cup of coffee you never forget.
>>>>
>Oracle devs are known(?) to charge their Oracle servers with long running cycled SPs utilizing cursors - wasn't that the case?
>As opposed to MS SQL T-SQL devs who mainly write set-oriented data manipulation SPs - so even when processing large data volumes they keep their MS SQL Servers flying... :)
>
>As for NoSQL - Redis (  http://redis.io/ ) somehow keeps constantly popping-up in the IT-related stuff I'm reading - so Redis (and Hadoop) - are on first positions in my NoSQL bookmarks...
>
>-- Shamil
>
>Monday, January 27, 2014 9:13 AM +01:00 from "Gustav Brock" < gustav at cactus.dk >:
>>Hi Jim
>>
>>For the last days I have been struggling with some updating 
>>pass-through queries, not Oracle but T-SQL.
>>No fun. As soon as you have more than a few joins, the code turns 
>>nearly unreadable. I'm not very good at it, so I had to build the query 
>>and the joins bit by bit to not lose my feet. I never learn to love 
>>this. Give me C# please.
>>
>>What a moment to bring a potent Oracle server on its nees. That must 
>>have been a cup of coffee you never forget.
>>
>>/gustav
>> 
>>
>>-----Oprindelig meddelelse-----
>>Fra:  accessd-bounces at databaseadvisors.com
>>[mailto:accessd-bounces at databaseadvisors.com] På vegne af Jim Lawrence
>>Sendt: 27. januar 2014 06:03
>>Til: Access Developers discussion and problem solving
>>Emne: [AccessD] The direction of data processing
>>
>>Hi All:
>>
>>I must admit that there is a bit of a preamble to but it is all aimed 
>>at a point and, I believe, the future in data management.
>>
>>Back a number of years ago, when working for a government branch that 
>>handled data and policy I was asked to retrieve a full set of data 
>>summaries and have them ready to display and/or printout at the request 
>>of the department head. To say the least the data was a mess. It had 
>>evolved for years and each time the data model was improved the data 
>>structure was changed and because it was easier to just make a new 
>>table than try and figure out how to consolidate the information in one 
>>table. To add to data's complexity, government policy continued to 
>>change and affect how data entered into the existing table. When the 
>>variation became too extreme time for a new table.
>>
>><<< tail skipped >>>
>-- 
>
>
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-- 
Салахетдинов Шамиль
-- 
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