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Distributed Systems Architecture | brought to you by Alexey Grishchenko

Brought to you by Alexey Grishchenko. Spark DataFrames are faster, aren’t they? Recently Databricks announced availability of DataFrames in Spark , which gives you a great opportunity to write even simpler code that would execute faster, especially if you are heavy Python/R user. In this article I would go a bit deeper than the publicly available benchmark results to show you how it really works. Continue reading →. This entry was posted in DBMS. August 14, 2015. Continue reading →. August 4, 2015. Hadoo...

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Distributed Systems Architecture | brought to you by Alexey Grishchenko | 0x0fff.com Reviews

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Brought to you by Alexey Grishchenko. Spark DataFrames are faster, aren’t they? Recently Databricks announced availability of DataFrames in Spark , which gives you a great opportunity to write even simpler code that would execute faster, especially if you are heavy Python/R user. In this article I would go a bit deeper than the publicly available benchmark results to show you how it really works. Continue reading →. This entry was posted in DBMS. August 14, 2015. Continue reading →. August 4, 2015. Hadoo...

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Distributed Systems Architecture | brought to you by Alexey Grishchenko | 0x0fff.com Reviews

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Brought to you by Alexey Grishchenko. Spark DataFrames are faster, aren’t they? Recently Databricks announced availability of DataFrames in Spark , which gives you a great opportunity to write even simpler code that would execute faster, especially if you are heavy Python/R user. In this article I would go a bit deeper than the publicly available benchmark results to show you how it really works. Continue reading →. This entry was posted in DBMS. August 14, 2015. Continue reading →. August 4, 2015. Hadoo...

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hardware | Distributed Systems Architecture

http://0x0fff.com/tag/hardware

Brought to you by Alexey Grishchenko. When you are completely ready to start your big data initiative with Hadoop, one of your first questions would be related to the cluster sizing. What is the right hardware to choose in terms of price/performance? How much hardware you need to handle your data and your workload? I will do my best to answer these questions in my article. Continue reading →. This entry was posted in Hadoop. August 4, 2015. Subscribe to Blog via Email. Join 207 other subscribers.

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HDFS | Distributed Systems Architecture

http://0x0fff.com/tag/hdfs

Brought to you by Alexey Grishchenko. Apache HAWQ: Next Step in MPP. The first blog post of mine is accepted to official Pivotal blog! Feel free to comment and share your opinion on the subject:. Apache HAWQ: Next Step In Massively Parallel Processing. This entry was posted in DBMS. And tagged apache hawq. April 12, 2016. This is the talk I made on Java Day Kiev 2015. It was a great conference after all. This entry was posted in Hadoop. And tagged apache spark. March 22, 2016. Hadoop on Remote Storage.

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hawq | Distributed Systems Architecture

http://0x0fff.com/tag/hawq

Brought to you by Alexey Grishchenko. Apache HAWQ: Next Step in MPP. The first blog post of mine is accepted to official Pivotal blog! Feel free to comment and share your opinion on the subject:. Apache HAWQ: Next Step In Massively Parallel Processing. This entry was posted in DBMS. And tagged apache hawq. April 12, 2016. Apache HAWQ Architecture Talk. If you’d like to download the slides, you can find them here: HAWQ Architecture HL 2015 Moscow. This entry was posted in Hadoop. And tagged apache hawq.

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0x0FFF | Distributed Systems Architecture

http://0x0fff.com/author/0x0fff

Brought to you by Alexey Grishchenko. Everyone around the internet is constantly talking about the bright future of Apache Spark. How cool it is, how innovative it is, how fast it is moving, how big its community is, how big the investments into it are, etc. But what is really hiding behind this enthusiasm of Spark adepts, and what is the real future of Apache Spark? Continue reading →. This entry was posted in DBMS. And tagged apache spark. Future of apache spark. June 14, 2016. Continue reading →.

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Hadoop Cluster Sizing | Distributed Systems Architecture

http://0x0fff.com/hadoop-cluster-sizing

Brought to you by Alexey Grishchenko. When you are completely ready to start your big data initiative with Hadoop, one of your first questions would be related to the cluster sizing. What is the right hardware to choose in terms of price/performance? How much hardware you need to handle your data and your workload? I will do my best to answer these questions in my article. TB of usable capacity, where. TB of data with the default replication factor of 3 you would need. TB of raw storage. Next, the more r...

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femibyte | Data Phanatik

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For the love of Code, Data and Analytics. Skip to primary content. Skip to secondary content. Various Functional Programming Links. June 1, 2016. Big Data and Distributed Systems. How I got Cloudera Quickstart VM running on Google Compute Engine. April 13, 2016. This is a brief synopsis of how I got the Cloudera Quickstart VM running via Docker on Google Compute Engine, which is Google’s cloud equivalent to Amazon’s AWS Cloud Computing Service. Https:/ cloud.google.com/sdk/. I created an n1-standard-2 VM...

bigdatadownunder.wordpress.com

May | 2014 | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/05

Big Data Down Under. Monthly Archives: May 2014. Pivotal and Cloudera Discuss Hadoop and Isilon. May 7, 2014. It’s not every day that you see the CEO of Pivotal and the CEO of Cloudera on stage together. Today Paul and Tom discussed where they see the future of Hadoop and how Isilon is helping them move Hadoop into the centre of the enterprise. Revenue for EMC Isilon in the Hadoop space is growing at 259% per annum. A central theme was the religious debate of whether Hadoop should be used as purely a sta...

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Big Data Down Under | Blog Site Devoted To The World Of Big Data In Australia | Page 2

https://bigdatadownunder.wordpress.com/page/2

Big Data Down Under. Pivotal CF (Cloud Foundry) Tutorial Part 3. July 22, 2014. Ok, so our app has become popular and too many users are accessing it. We need to scale. If only we had a….wait…a PaaS. Ok so here is what to do. First we could do this via the GUI, but we are going to use the command line just for fun. Continue reading Pivotal CF (Cloud Foundry) Tutorial Part 3. Pivotal CF (Cloud Foundry) Tutorial Part 2. July 22, 2014. You should see something like this. July 22, 2014. Note: you may need an...

bigdatadownunder.wordpress.com

Pivotal CF Install Issue – Operation Is Not Allowed In The Current State | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/09/14/pivotal-cf-install-issue-operation-is-not-allowed-in-the-current-state

Big Data Down Under. Pivotal CF Install Issue – Operation Is Not Allowed In The Current State. September 14, 2014. If you encounter this issue while Installing Pivotal CF then here is a potential fix. A web search showed no public fix to this so this might help others and the fix is fairly simple. The exact error I received is below and this occurred while installing Pivotal Cloud Foundry v1.2.2. on ESX 5.5. Pivotal CF (Cloud Foundry) Tutorial Part 3. Pivotal CF Install Issue Error 30002. Never ever do t...

bigdatadownunder.wordpress.com

July | 2014 | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/07

Big Data Down Under. Monthly Archives: July 2014. Pivotal CF (Cloud Foundry) Tutorial Part 3. July 22, 2014. Ok, so our app has become popular and too many users are accessing it. We need to scale. If only we had a….wait…a PaaS. Ok so here is what to do. First we could do this via the GUI, but we are going to use the command line just for fun. Continue reading Pivotal CF (Cloud Foundry) Tutorial Part 3. Pivotal CF (Cloud Foundry) Tutorial Part 2. July 22, 2014. You should see something like this. Note: y...

bigdatadownunder.wordpress.com

January | 2014 | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/01

Big Data Down Under. Monthly Archives: January 2014. Why Australia Has A Big Data Problem. January 7, 2014. 8230;and why it is all going to change very soon. The same is true for Cloud. When I benchmark the Australian Telcos and Cloud providers against those of US and European providers there is a definite early adoption of cloud locally. The shift towards new consumption models in Australia has been extremely fast. The early adopter scenario that exists with Cloud and Virtualization doesn’t extend...

bigdatadownunder.wordpress.com

Pivotal CF (Cloud Foundry) Tutorial Part 1 | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/07/22/pivotal-cf-cloud-foundry-tutorial-part-1

Big Data Down Under. Pivotal CF (Cloud Foundry) Tutorial Part 1. July 22, 2014. Here’s a tutorial on how to get started with Pivotal CF. In part 1 we will focus on deploying a pre-built app to the cloud. Download the CF command line tool from: https:/ console.run.pivotal.io/tools. Download the sample Java app that we will be using for this exercise: booking-mvc.war. 1 set your target API to the api address of the cloud foundry interface. In this case our domain is cf.mattzwol.com. 4 Check the orgs with.

bigdatadownunder.wordpress.com

Pivotal CF (Cloud Foundry) Tutorial Part 2 | Big Data Down Under

https://bigdatadownunder.wordpress.com/2014/07/22/pivotal-cf-cloud-foundry-tutorial-part-1-2

Big Data Down Under. Pivotal CF (Cloud Foundry) Tutorial Part 2. July 22, 2014. Now that you have built your app we need to add a database. Use the following command to see what services you can create:. You should see something like this. P-hd Standard Pivotal HD is the industry’s most full-featured Hadoop distribution. P-mysql 100mb-dev MySQL service for application development and testing. Now let’s bind the database to your app. Cf create-service p-mysql 100mb-dev your name db. Cf restart your app.

bigdatadownunder.wordpress.com

Matthew Zwolenski | Big Data Down Under

https://bigdatadownunder.wordpress.com/author/mattzwol

Big Data Down Under. All posts by Matthew Zwolenski. Technologist and evangelist, focusing on Big Data, Virtualization and the Software Defined Data Centre (SDDC). As Director of Technology for EMC in Australia and NZ I have exposure to some of the cool technologies that vendors are developing, as well as what many of our customers are doing in Australia/NZ and across the world. Books To Read This Summer. December 5, 2015. 8230;….Gene Kim in the Wall Street Journal. November 12, 2015. On Wednesday 2nd De...

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Distributed Systems Architecture | brought to you by Alexey Grishchenko

Brought to you by Alexey Grishchenko. Spark DataFrames are faster, aren’t they? Recently Databricks announced availability of DataFrames in Spark , which gives you a great opportunity to write even simpler code that would execute faster, especially if you are heavy Python/R user. In this article I would go a bit deeper than the publicly available benchmark results to show you how it really works. Continue reading →. This entry was posted in DBMS. August 14, 2015. Continue reading →. August 4, 2015. Hadoo...

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