Category: MapR

Feed: CIO - MapR RSS feed. Author: Matt Asay. Cloud killed the fortunes of the Hadoop trinity—Cloudera, Hortonworks and MapR—and that same cloud likely won’t rain success down on Hewlett Packard Enterprise (HPE), which recently acquired the business assets of MapR.While the deal promises to marry “MapR’s technology, intellectual property, and domain expertise in artificial intelligence and machine learning (AI/ML) and analytics data management” with HPE’s “Intelligent Data Platform capabilities,” the deal is devoid of the one ingredient that both companies need most: cloud.The problem, in other words, isn’t that MapR wasn’t filled to the brim with smart folks and ... Read More

Feed: Big Data Feed. Author: itsing. Any Internet-of-Things (IoT) environment can be a data management challenge because of the huge volumes of data that are created and the latencies inherent in having global distribution. The challenges of aggregating data from consumer-oriented devices, like wearable technologies and smart thermostats, are fairly well understood. For those types of devices, the volume of data is due to the large number of devices, and each individual device doesn’t necessarily create much data. However, there are a new set of challenges for IoT “devices” that generate megabytes or gigabytes of data per second. Certainly, the ... Read More

Feed: Big Data Feed. Author: itsing. Editor’s Note: At Strata+Hadoop World 2016 in New York, MapR Director of Enterprise Strategy & Architecture Jim Scott gave a presentation on “Handling the Extremes: Scaling and Streaming in Finance.”As Jim explains, agility is king in the world of finance, and a message-driven architecture is a mechanism for building and managing discrete business functionality to enable agility. In order to accommodate rapid innovation, data pipelines must evolve. However, implementing microservices can create management problems, like the number of instances running in an environment. Microservices can be leveraged on a message-driven architecture, but the concept must be ... Read More

Feed: Big Data Feed. Author: itsing. MapR and SAP share a common vision about making big data analytics enterprise ready, both at the platform and compute engine layer. MapR recently announced support for SAP HANA Vora 1.3, which offers a single in-memory compute solution that delivers insights across a variety of data types, including JSON, time-series, graph, and relational.As further proof of the momentum around this solution, the announcement on January 31, 2017 of the joint solution and reference architecture for MapR and SAP HANA Vora is very exciting. This has been developed in tight partnership with SAP Japan, Lenovo ... Read More

Feed: Big Data Feed. Author: itsing. Editor's Note: This blog post is an excerpt from the MapR Guide to Big Data in Healthcare. To read more, you can download it here.Healthcare costs are driving the demand for big data-driven healthcare applications. Technology decision-makers in healthcare systems cannot ignore the increased efficiencies, the attractive economics, and the rapid pace of innovation that can now be applied to delivering and paying for healthcare. Many are finding that new standards and incentives for the digitizing and sharing of healthcare data — along with improvements and decreasing costs in storage and parallel processing on commodity hardware — are causing a big data revolution ... Read More

Feed: Big Data Feed. Author: itsing. 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).Hearing from key MapR executives, solution experts, thought leaders, and influencers within the federal government, attendees learned how the CDP positions MapR and its partners perfectly for the re-platforming and modernization needs of the federal government.The U.S. government analyzes an enormous amount of data every day to determine the best course of action in military and ... Read More

Feed: Big Data Feed. Author: itsing. 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. This year the global costs of employee healthcare benefits will rise more than 9%, according to recent research. In the US the increase will be 15%. Thus the pressure on healthcare providers to reduce costs is enormous. What’s more, ... Read More

Feed: Big Data Feed. Author: itsing. 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.This was what many people in North America experienced on 21 October 2016 when a widespread DDoS (distributed denial of service) attack took place in several waves, ... Read More

Feed: Big Data Feed. Author: itsing. This blog post is an excerpt from the MapR Guide to Big Data in Healthcare. To read more, you can download it here. 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 2017.1. Value-Based, Patient-Centric CareA goal of modern healthcare systems is to provide optimal health care through the meaningful use of health information technology in order to:Improve healthcare quality and coordination, so that ... Read More

Feed: Big Data Feed. Author: itsing. 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 post I’ll talk about what exactly persistence means in the new age of microservice-based applications, contrasting with what persistence used to mean for applications.Traditional Application PersistenceHistorically applications have been written assuming stable, ... Read More