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Внимание: Fast Data атакуют Big Data!

4 марта 2013 Сегодня перед руководителями компаний и IT департаментами открываются новые возможности для развития бизнеса. Поэтому одним из главных бизнес-приоритетов становиться умение выделять необходимую информацию из круговорота данных. Именно для выполнения этого задания существуют инструменты для работы с Большими Данными. Быстрые Данные (Fast Data) в свою очередь являются дополнительным элементом, позволяющим работать с данными в реальном времени и принимать быстрые обоснованные решения. (Материал опубликован на английском языке)
Big Data uses specialized technologies (like Hadoop and NoSQL) to process vast amounts of information in bulk. But most of the focus on Big Data so far has been on situations where the data being managed is basically fixed—it’s already been collected and stored in a Big Data database.

This is where Fast Data comes in. Fast Data is a complimentary approach to Big Data for managing large quantities of “in-flight” data that helps organizations get a jump on those business-critical decisions. Fast Data is the continuous access and processing of events and data in real-time for the purposes of gaining instant awareness and instant action. Fast Data can leverage Big Data sources, but it also adds a real-time component of being able to take action on events and information before they even enter a Big Data system.

You can think of the difference between Big Data and Fast Data as the difference between downloading a movie from an online store (and having to wait until the entire movie downloads in order to watch it) and streaming the same movie (where you can start watching it instantly). In either case, you’ll get to watch the movie. The difference is simply the amount of time you’ll wait before you can do it.

In the business world, Fast Data means faster business decisions and faster business actions. It’s a solution for managing the velocity (and scale) of any type of in-flight (or rapidly changing) data while acting on it with precision for real-time results.

A good way to get a clearer picture of how and why Fast Data is becoming more important is by examining a few examples of how it has been applied in different industries.

In the public sector, Fast Data approaches are helping organizations develop integrated fast response systems. For example, they’re enabling first responders to gain immediate information as it occurs in city centers across a range of scenarios: informational, criminal, and terrorist incidents. This real-time Fast Data collection and analysis can help optimize traffic management, provide forensic analysis, identify traffic hotspots or help with crime prevention.

At the same time, many telecom organizations are looking at Fast Data to help manage their resources more effectively. This starts with optimizing capital expenditure (CAPEX) on network infrastructure while lowering or maintaining operational expenditure (OPEX). To do this requires the ability to gain insights as they occur to understand allocation of network resources based on traffic and application requirements, network usage patterns. Ultimately, Fast Data can help gain real-insights based on hard data as it comes in, not just an approximate trending.

Finally, in the retail industry, customer service centers are using Fast Data solutions for clickstream analysis and customer experience management. Fast Data can factor real-time information about millions of events (clicks or other interactions) per second into business intelligence and other decision-support applications. These “recommendations” help customer service agents provide personalized service based on each customer’s experience. Fast Data collects data about what customers on the phone are currently doing, or how they have recently interacted with the company in other various channels, including in-branch, or on the web via self-service features, instant messaging and email. The application then analyzes the total customer experience and recommends scripts or next steps that guide the agent on the phone, and hopefully keep the customer happy.

These are just a few of the many ways in which organizations are using, and will be using, Fast Data to get a jump on the power of Big Data. Fast Data is fast becoming one of the top requirements for organizations trying to keep up with the information coming from various sources and make real-time decisions and serve the need of their customers.  Ultimately, in order for Fast Data to be successful, a tightly integrated environment from device to datacenter is required and it is imperative that businesses start looking at Fast Data solutions if they want to keep up with their competitors and run their operations efficiently.

Source:  forbes.com