Building a Fast Data Front End for Hadoop

Screencast  Building a Fast Data Front End for Hadoop.

Date: This event took place live on June 24 2015
Presented by: John Hugg
Duration: Approximately 60 minutes.
Cost: Free

Description:

Massive increases in both the volume and velocity of data have led to the development of interactive, real-time applications on fast streaming data. These fast data applications are often the front ends to Big Data (data at rest) and require integration between Fast + Big. To provide maximum value they require a data pipeline with the ability to compute real-time analytics on fast moving data, to make transactional decisions against state, and ultimately deliver data at high speeds to long-term Hadoop-based analytics stores like Cloudera, Hortonworks and MapR.

The new challenge is building applications that tap fast data and seamlessly integrate with the value contained in data stores — combining machine learning and dynamic processing. A variety of approaches are employed including Apache Storm, Spark Streaming, Samza, and in-memory database technology.

During this webcast you will learn:

  • The pros and cons of the various approaches used to create fast data applications
  • The pros and cons of Lambda and Kappa architectures compared to more traditional approaches
  • Understand the tradeoffs and advantages surrounding the resurgence of ACID and SQL
  • How integration with the Hadoop ecosystem can reduce latency and improve transactional intelligence

About John Hugg, Founding Engineer

John Hugg is a Software Developer at VoltDB. He has spent his entire career working with databases and information management. In 2008, he was lured away from a Ph.D. program by Mike Stonebraker to work on what became VoltDB. As the first engineer on the product, he liaised with a team of academics at MIT, Yale, and Brown who were building H-Store, VoltDB’s research prototype. Then he helped build the world-class engineering team at VoltDB to continue development of the open source and commercial products.

 

 

.imagesLoaded is not a function

I’m using mustache.js, masonry and I was trying to use imagesLoaded to avoid overlapping images.

My code was returning me .imagesLoaded is not a function
Some people on the interwebs said that disabling Rocket Loader in CloudFlare… didn’t work for me.

After more than 2 hours I got the solution – without using imagesLoaded -.

    $(window).load(function() {

      // Masonry Trigger
      var $container = $('#masonry-wrap');

      $container.masonry({
         // options
         itemSelector: '.masonry-box', 
         columnWidth: 283 
      });

    }); 

 

Solution was taken from jQuery masonry with WordPress and imagesLoaded and given by McNab!

MacBook Pro, no battery performance hack

Almost one year ago, I’v removed my Macbook Pro battery…
Since that day… my laptop was f*cking slow.

This is how I’v solved it – following the article from http://www.rdoxenham.com/?p=259.

Find out our model’s name
MacBook-Pro-de-Paulo:~ PJunior$ system_profiler -detailLevel mini | grep "Model Identifier:"
 Model Identifier: MacBookPro5,1
Do the sh*t!

Lets move to root

sudo bash

Lets go to the right folder

bash-3.2# cd /System/Library/Extensions/IOPlatformPluginFamily.kext/Contents/PlugIns/ACPI_SMC_PlatformPlugin.kext/Contents/Resources/

iTerm

Lets move the .plist of our model out of that folder…
– change the destination folder to your needs –

mv MacBookPro5_1.plist /Users/PJunior/

Reboot and it’s done.

All the credits go to http://www.rdoxenham.com/?p=259.

WARNING: local host name (digitalwhores) is not qualified; see cf/README: WHO AM I?

While installing sendmail, I got the following error…

WARNING: local host name (digitalwhores) is not qualified; see cf/README: WHO AM I?

Lets edit /etc/hostname and make it digitalwhores.net.

sudo nano /etc/hostname

Lets run sendmailconfig

sudo sendmailconfig

I saw the solution @ http://unix.stackexchange.com/questions/1551/what-is-sendmail-referring-to-here/210999 – tnks to Jadeye for alerting me that I might need to restart the server.