Tag Archives: Big Data

In-memory approaches can achieve blazing speed by putting the working set of the data into the system memory. When all data is kept in memory, the need to deal with issues arising from the use of traditional spinning disks disappears. This means, for instance, there is no need to maintain additional cache copies of data and manage synchronization between them. ...

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 ...

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 to 2016 trends. The question of big data hype versus reality has finally been put to rest for banks. This is further supported by the upward ...

There has been a lot of research in document image processing over the past 20 years, but not much research has been done in terms of parallel processing. Some of the solutions proposed for parallel processing have been to create threads of execution for each image, or to use GNU Parallel. In this blog post, you will learn how to ...

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed. They must have up-to-the-second ...

In this week’s Whiteboard Walkthrough Jorge Geronimo, Solutions Architect at MapR, explains how with a single line of code you can create a replica of a MapR data stream within the same cluster or to another cluster even in another part of the world. Jorge also describes multi master replication for streaming data and how MapR Streams’ unique capability for ...

Do you remember the first time you encountered a self-service checkout terminal in the supermarket? I do. My first reaction was to ask what incentives the store was going to give me for being my own cashier? Discounts? Coupons? Surely I wasn’t expected to do someone else’s job for free. Today, I rarely even bother with manned cashier lines. Self-service ...

Siri, Alexa, Cortana and Google Now are just the beginning. When it comes to getting things done, machines are increasingly edging humans out of the equation. Big data and analytics are at the core of what some people are calling the “bot revolution.” Bots have actually been around for a long time, but their early iterations were robotic and not ...

Business intelligence (BI), which is one of the oldest concepts in data processing, is undergoing a radical reinvention. The concept has already evolved considerably since it first gained popularity in the early 1990s (and particularly since its first mention in the Cyclopædia of Commercial and Business Anecdotes in 1865!). In fact, the quest to mine transactional data for business insight ...