As the famous quote attributed to George Santayana goes, ‘Those who don’t learn history are doomed to repeat it.’ In business today, history is often locked away in data generated months or years earlier.
Cloud Computing Blog Posts
Siri, Alexa, Cortana and Google Now are just the beginning. When it comes to getting things done, machines are increasingly edging humans out of the equation. Big data and analytics are at the core of what some people are calling the “bot revolution.”
Business intelligence (BI), which is one of the oldest concepts in data processing, is undergoing a radical reinvention. The concept has already evolved considerably since it first gained popularity in the early 1990s (and particularly since its first mention in the Cyclopædia of Commercial and Business Anecdotes in 1865!).
The number of organizations that are thinking about using Hadoop has grown astronomically over the past year. How do you know whether you’re ready to implement Hadoop, and what are the best practices?
We live in a world where the combination of Moore’s Law and Metcalfe’s Law heralds a data revolution. The billions of smartphone and broadband users today already generate massive quantities of data.
The MapR Distribution including Hadoop is now available on the Azure Fast Start. This solution enables push button deployment of MapR on the Azure cloud infrastructure, providing you with the solutions to turn your big data into big money.
The MapR Distribution including Hadoop is now available in a private IT sandbox environment on the Amazon Web Services (AWS) Test Drive. We’ve partnered with AWS to create this lab environment so that you can gain hands-on experience with Hadoop.
Not too long ago it was commonplace for people to have their data sitting on multiple different computers in their home and keeping backups of data between the machines in case one failed. As anyone who lived through that can recall, it was a pain to manage and to keep files in sync, and if one of those computers died, it was a struggle to ensure that you had the latest copies of your data files somewhere among those computers. As a matter of fact, sadly, I know there are still people who manage their data this way today.
I am excited to share some good news about the MapR Distribution on Amazon EMR. First, Amazon Web Services has added support for the latest generation Amazon EC2 instance families with the Community (M3), Enterprise (M5), and Enterprise Database (M7) editions of the MapR Distribution in Amazon EMR. This means that you can now create Amazon EMR clusters with the MapR Distribution using the M3, C3, R3, I2, and G2 instance families.
MapR was proud to participate in the Developer Sandbox at Google I/O, Google’s exclusive annual developer conference held in San Francisco last week. The conference featured speakers from various industries as well as code labs and developer demos.
An Earlier Result
MapR and Google will be conducting a workshop on best practices for Leveraging Big Data in the Cloud, taking place Tuesday, Oct 23 in New York City.
This is a great opportunity to learn how you can get the most out of your Big Data investment. Many companies today are either using or evaluating Hadoop for Big Data analytics. At the same time, they are looking at the cloud as an option to support their growing data center demands.
In a new briefing, the 451 Group details MapR’s exciting past few months. MapR has continued to strive to expand our product to meet our customers needs in wherever computing environment they may have – in the cloud, on-premise or both. The Amazon and Google announcements serve to establish MapR as the emerging defacto standard for Hadoop.
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