Big data is a familiar term to everyone in the world of IT but now it’s becoming known as a topic in our everyday lives. Big data is forecast to continue impacting all aspects of our lives, especially at work.
Before I get into my blog – an admission – I’m a major Star Wars fan.
No, seriously – a MASSIVE fan. Back in the day, I was a light-saber-toting-wookie-lovin-Princess Leia-poster-on-the-wall type fan. Yup, that guy. In three months, the next Star Wars movie hits the streets and, as you can imagine, I can’t wait. While I still love the more recent one-through-three episodes of the franchise, my heart really belongs to the first three (episodes four, five, and six), which came out while I was still a young(ish) boy.
Survive and Thrive in a Data-Driven Future: Talend Hits the Big Apple at Strata and Hadoop World 2015!
Big Data Analytics have been advancing in the past years as the amount of information has exploded to petabytes and even EXABYTES of data. Hadoop is definitely the platform of choice for Big Data analysis and computation, however, as data Volume, Variety and Velocity increases, Hadoop as a batch processing framework cannot cope with the requirement for real time analytics.
Deploying the most powerful technology tools or building sophisticated processes help retailers maximize the shopper experience, drive operational excellence and ensure financial health. However, these results are all dependent on the quality of data used to drive business activities.
Running a retail business is no easy feat. There are plenty of unknowns and moving parts that change the dynamics of the business. Coupled with rising consumer expectations for better service, achieving operational excellence is not an option, but rather a necessity for modern retailers.
The short-answer to the above question is: ‘a lot.’ However, that’s not adequate to highlight the vital importance of adopting a data-driven approach to manage retail business activities ranging from supply chain management to pricing and demand planning. As such, this post will provide a detailed overview of the performance benefits retailers enjoy by laying the foundation to become truly data-driven.
The purpose of this blog is to provide practical advice on how to approach application bootstrapping on AWS using CloudFormation, Puppet, Hiera and Serf. To obtain the most benefit from the blog, you should be technically familiar with these four technologies.
High level tasks include:
- Create the your CloudFormation template
- Install and configure software on the instances
- Connect instance to other instances in the stack
Creating the CloudFormation template
Until recently, developing a user-friendly product rarely made the priority list of software makers. IT engineers were more concerned with the service to be rendered than they were with the usability of their software. Packing a product with features was more important than making it easy to use. But at a time when IT products are a dime a dozen, we are now entitled to the same convenience and ease of use with business applications that we enjoy with mainstream products.