MapR held its first annual Federal Partner Summit on February 2, 2017. The event was well attended with over 75 people, including 47 partner companies. The all-day summit provided insight into the award winning MapR Converged Data Platform (CDP).
I am proud to say it has been an incredible year for MapR. The company continues to prosper; we delivered record year over year revenue growth, added many new customers to the MapR family, and continue to experience high levels of customer satisfaction and retention.
In the US, more money is spent on healthcare – about $3.2 trillion last year – than in any other discrete segment of the economy. By some estimates, that is about $600 billion more than should be spent, given the country’s size and wealth. These costs are pummeling consumers and their employers around the world.
Does this sound disturbing? You try to reach a particular website only to find the site is down. But it’s not that simple. You try another site – also not reachable. And another and another… You look to social media for in-the-moment reports about what’s happening and while you are reading about a huge swath of the country under cyber attack, that social media site goes out, too.
The healthcare industry, perhaps more than any other, is on the brink of a major transformation through the use of advanced analytics and big data technologies. In this post, we’re going to talk about 5 big data trends in healthcare for 2017.
Businesses today need to do more than merely acknowledge big data. They need to embrace data and analytics and make them an integral part of their company. Of course, this will require building a quality team of data scientists to handle the data and analytics for the company.
In this blog we will discuss some patterns which are often used in microservices applications which need to scale: Event Stream Event Sourcing, Polyglot Persistence, Memory Image, Command Query Responsibility Separation
Today we took a big step in our convergence vision by announcing the MapR Converged Data Platform for Docker, which includes the MapR Persistent Application Client Container (PACC). This is noteworthy because the new generation of converged applications is as much about deploying operational, user-facing applications as performing analytics and machine learning, and containers are the future of application deployment.
In this week’s Whiteboard Walkthrough, Dale Kim, Sr. Director of Industry Solutions at MapR, describes how MapR addresses the challenge of providing a persistence tier to containers in big data settings. Dale describes a new technology to support Docker containers, the MapR Persistent Application Client Container, or PACC. This lets you deploy containers anywhere, with security enabled, while also providing access to the MapR Converged Data Platform, which includes NoSQL database and streaming message transport as well as files for the persistence layer.
The MapR Persistent Application Client Container (PACC) is a Docker-based container image that includes a container-optimized MapR client. The PACC provides secure access to MapR Converged Data Platform services, including MapR-FS, MapR-DB, and MapR Streams. The PACC makes it fast and easy to run containerized applications that access data in MapR.
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