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In my short time frame of working with this data, I’ve found the results to be very encouraging. Days that were sunny and optimal for solar collection saw the optimized array obtain almost exactly, if...
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Introduction MapR Database JSON introduced and later expanded the support for native secondary indexes in the 6.x releases (see Secondary Indexes). These indexes are accessible both through a programmatic...
This blog post is fourth of a 5-part series that explores the use of IoT and Data Science to maximize solar energy by leveraging the MapR Data Platform. Read the previous 3 blog posts here, here, and...
This blog post is the third in a 5-part series that explores the use of IoT and Data Science to maximize solar energy by leveraging the MapR Data Platform. Read the first 2 blog posts here and here. To...
This blog post is part of a 5-part series that explores the use of IoT and Data Science to maximize solar energy by leveraging the MapR Data Platform. Read my first blog post here for an introduction...
I know that I am the dangerous type of individual. I am that guy who knows just enough about many subjects to be slightly scary to individuals who truly understand a given discipline. One of those areas...
Apache Spark GraphX made it possible to run graph algorithms within Spark, GraphFrames integrates GraphX and DataFrames and makes it possible to perform Graph pattern queries without moving data to a...
Part of my job is to learn from the many CxOs in our customer base and to understand more about their current and future data challenges. Based on all those discussions, a common picture started to emerge...
Financial Services (FinServ) firms are working in earnest to drive greater insights from data, advancing AI/ML initiatives and digitizing their organizations. IDG's "2018 State of Digital Business...
We just finished our customer advisory board meetings in the EMEA region. The meetings were highly productive with in-depth product and technology conversations and great feedback about the products MapR...
In this blog, I am going to walk you through a process that I used recently to integrate readily available IoT sensors, cloud offerings, and the MapR Data Platform, ultimately making a device that detects...
Face detection is providing new quantitative paths for a wide range of applications, such as smart office spaces, ad analytics, and surveillance. However, implementing face detection on video is challenging...
Policies that lead to optimal outcomes for an organization are some of the most difficult challenges facing decision makers within an organization. The reason for it is the fact that policies are not made...
In this post, I demonstrate how to integrate StreamSets with MapR in Docker. This is made possible by the MapR Persistent Application Client Container (PACC). The fact that any application can use MapR...
According to Gartner, smart cities will be using about 1.39 billion connected cars, IoT sensors, and devices by 2020. The analysis of location and behavior patterns within cities will allow optimization...
I’d like to share one of the demos I’m preparing to show at the Strata Data Conference in New York during the week of September 10th. My objective with this demo is to illustrate how certain database...
Former Vice President Joe Biden lost his son to cancer on May 30, 2015. Beau Biden was 46 years old when he lost his nearly two-year battle with glioblastoma, a rare form of brain cancer. Following the...
This blog post introduces key concepts from the MapR Industry Guide for Manufacturing. To read more, you can download it here. Digital transformation for manufacturers is driven by a variety of trends...
This blog post introduces key concepts from the MapR Guide to Mining, Oil, and Gas. To read more, you can download it here. Oil and gas companies have more choices than ever before as they try to better...
With the rapidly changing business and technology landscape of today, developers, data scientists, and IT operations are working together to build intelligent applications with new technologies and dynamic...
It is no secret that as more and more devices connect to the internet, the challenges of securing the data that they transmit and the communications that they initiate are becoming more profound. Back...
In his most recent post, my colleague Ronak Chokshi described the evolution of use cases in manufacturing and how the rise of IoT technology has spurred a wave in new investment and innovation. In this...
The manufacturing industry is very unique in many different ways. It has existed for more than 100 years and continues to evolve, benefiting from every major innovation that we have come across along the...
Editor's Note: Read part 1 of this post here. This is Part 2 of a two-part series that describes how to apply a recurrent neural network (RNN) for time series prediction on real-time data generated...
The Countdown to GDPR Compliance Begins – Are You Ready? The General Data Protection Regulation (GDPR) is a new legislation enacted in the European Union (EU) as of April 14, 2016, that will be enforced...
Developers, data scientists, and IT operations are working together to build intelligent apps with new technologies and architectures because of the flexibility, speed of delivery, and maintainability...
In the past, big data was interacted with in batch on a once-a-day basis. Now data is dynamic and data driven businesses need instant results from continuously changing data. Data Pipelines, which combine...
Editor's Note: Read part 2 of this post here. This is Part 1 of a two-part series that will describe how to apply an RNN for time series prediction on real-time data generated from a sensor attached...
Editor's Note: This is a 3-Part Series, see the previously published posts below: Part 1 - Spark Machine Learning Part 2 - Kafka and Spark Streaming Fast Data Processing Pipeline for Predicting Flight...
Editor’s Note: This is an excerpt from the book, "A Practical Guide to Microservices and Containers: Mastering the Cloud, Data, and Digital Transformation" – you can download the book for free...
Editor's Note: You can find Part 2 of this series here According to Thomas Davenport in the HBR, analytical technology has changed dramatically over the last decade, with more powerful and less expensive...
Editor's Note: You can find Part 1 of this series here According to Bob Renner, CEO of MapR Partner Liaison Technologies, in Forbes Machine Learning predictions for 2018, the possibility to blend machine...
No other industry can get more value from knowing their customers than the healthcare industry. This post is the third in a series where we will go over examples of how MapR data scientist Joe Blue assisted...
In this blog post, I’ll discuss how NoSQL data modeling is different from traditional relational schema data modeling, and I’ll also provide you with some guidelines for document database data modeling...
This post is based on a recent workshop I helped develop and deliver at a large health services and innovation company’s analytics conference. This company is doing a lot of interesting analytics and...
Imagine a world where your car not only drives itself, but also says intelligent things like these: A hotel is just around the corner and you have been driving for eight hours. Would you like to reserve...
GDPR – A Change in the Making Organizations all over the EU must be aware by now that the Data Protection Act (DPA) will be changed into GDPR (General Data Protection Regulation). Some of these changes...
2018 is likely to be a game-changing year for the banking and finance sector. As the General Data Protection Regulation (GDPR) and Revised Payment Service Directive (PSD2) are implemented across the European...
Editor's Note: This article was originally posted on LinkedIn on April 12, 2017. In today�s digital age where customers are as likely to buy a product from an eCommerce website as from a brick and...
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...
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...
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...
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...
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...
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...
In this week's Whiteboard Walkthrough, Jack Norris, Senior Vice President of Data and Applications at MapR, explains how the MapR Data Platform opens up the use of containers to the big data environment...
In the past year, the big data pendulum for financial services has officially swung from passing fad or experiment to large deployments. That puts a somewhat different slant on big data trends when compared...
In this week’s Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, provides some pointers for building better machine learning models, including the advantages of data streams and...
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