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MapReduce

Preparing Yourself to Move to Apache Spark

February 29, 2016 by Jim Scott

While MapReduce has been the mainstay of Hadoop processing, Apache Spark is now taking the throne as the way to handle distributed computation. The reasons are obvious: Spark is very fast due to its use of Resilient Distributed Datasets, or RDDs, and it has a clean programming model.[read more]

A Guide to Spark Streaming - Code Examples Included

February 25, 2016 by Jim Scott

Apache Spark is great for processing large amounts of data over large clusters, but wouldn’t it be great if you could process data in near real time? You can with Spark Streaming.[read more]

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Big Data and Hadoop Development 2016

December 16, 2015 by Jenny Brown

Solving the Hadoop challenges and shortcomings with SAS will allow you to make the most of Big Data and use it as a catalyst to bring about positive outcomes of organizational growth, profit and development.[read more]

Managing Big Data Integration and Security with Hadoop

September 2, 2015 by Jason Parms
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An open-source framework like Hadoop offers endless possibilities for development, and with a strong management group like Apache Systems behind it, one can expect increasing numbers of modules and technologies to integrate with Hadoop to enable your business to achieve its Big Data goals – and maybe even go significantly beyond what you can envision today.[read more]

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4 Considerations When Choosing a Hadoop Distribution

June 18, 2015 by Dave Mendle

Choosing the right Hadoop distribution can be a tricky process. Many businesses looking to adopt Hadoop in their data infrastructure have a hard time figuring out what really differentiates one distribution from another. With so many options available, it’s easy to get lost in the choices.[read more]

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Is Your Data Big?

June 15, 2015 by Dave Mendle
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So you’ve heard all the buzz about data. It’s big. Apparently, big data is all around us. That’s what they say anyway. Truthfully, it can be difficult as a business owner to identify where you stand in the grand universe of big data. How big is your data? How are you using it? Would you benefit from using the right big data technology? In short, how do you know if your business is part of this big data revolution? Well, let me help you answer that.[read more]

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Using Recommendation Engines to Reduce Subscription Service Churn

June 12, 2015 by Dave Mendle

Recommendation engines are the digital version of the pot of gold at the end of the Big Data rainbow. Imagine being able to know, in near-time, what your customers really want and when they want it. For a subscription service, the gold is even brighter: You can deliver your customers’ desires directly to them, leading to a dramatic reduction in churn.[read more]

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Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

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Fine-Tuning Manufacturing Operations with Big Data and Hadoop

October 6, 2014 by Sameer Nori

Manufacturing pperations and Hadoop.

Your organization is a lean, mean Six Sigma machine. The corporate culture is centered on continuous improvement, with everyone well versed in Kaizen. Your supply chain is well oiled, which should provide assurance about product quality. And yet you wonder: is it possible to improve operations even further?[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 2, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]