One of my favorite technology books is Juice: The Creative Fuel That Drives World-Class Inventors, which was given to me by my Dad (an entrepreneur) about 10 years ago. Author Evan Schwartz examines the creative process of notable inventors ranging from the Wright Brothers to genomics pioneer Lee Hood. Schwartz’s many memorable assertions include the following:
For our predominately Boston-based team, this past week was not only a very welcome and needed respite from #snowmageddon2015, it was also a week of rubbing elbows with the best and brightest in the Big Data & Hadoop market at Strata + Hadoop World 2015. We had such a great time in NYC at Strata + Hadoop World 2014 that we decided to join the party in San Jose. (We’ll be in London this coming May 2015 too!)
Strata + Hadoop World in San Jose from February 17-20, 2015, seems likely to cause vertigo for many of us vendors, and not just because East Coasters like me will arrive snow blind. Our customers are headed to this conference in San Jose for very different, fundamental reasons than us. They want to make money, save money and save time for their organizations. And, they want to leverage Hadoop to do that.
I have heard it said that Release Management is a pain in the apps! And, this can be true. So, how do you minimize the pain? How can you get the most out of our application release? I’ve got 5 ideas for you.
Let’s face it…getting new application releases into production is challenging. The process is typically in direct conflict with the Operations team mandate of an always-on enterprise. Continuous Integration tools and DevOps culture tools have become essential parts aspects of any application release management environment.
Truly customer facing businesses are unlocking the full power of their Big Data from business critical systems like Salesforce.com for better insights into their customers, operations and business environment.
Learn how MarketLive implemented Attunity to achieve near real-time sync.
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. Using Amazon RDS saves time and effort by offloading repetitive database management tasks, and it affords scaling and DR capabilities that would be very difficult to achieve in on-premises or Amazon EC2-based Oracle database deployments.
We’ve all seen enough science fiction, and new gadgets coming to market, to envision the approaching world of smart homes, cars and appliances that can automate our personal lives.
In reality, the Internet of Things (IoT) holds perhaps the greatest potential for corporations.
The concept is not new – telemetry, for example, arose in the 19th century. But widespread broadband and new narrowband options, increasingly small and cheap sensors, and new machine-to-machine connectivity are creating powerful possibilities for organizations to fine-tune or even revamp their business.
Is your Big Data ready to move to the cloud? One of the most important components of a successful cloud-based Big Data analytics program is the ability to move data to cloud environments with ease. Learn how in this article.