Fast Data:Powering Real-Time Big Data
by Cuelogic Technologies Software Product Engineering...!!"Businesses and their users are facing what one might call a perfect storm - decision-makers need insight faster than ever, and yet IT is struggling to avoid becoming a bottleneck." - Jason Stamper, Analyst, 451 Research.
Fast Data is not a new concept. It has been around
before Big Data and
IoT came into the picture. Data partitioning, data warehousing and scaling
servers were the steps taken to speed up data retrieval prior to IoT and Big
Data.
The writing on the wall: Big Data volume in no
longer the main criteria for gathering quality data. Companies are now vying to
build better new platforms to solve data warehousing tasks and in processing
analytics.
- In the
modern tech context, Fast Data is about information in real-time or the
ability to obtain data insights while it is generated. That is why
streaming data is so happening now. Data streams now occur at thousands of
times per second, what is now called Fast Data.
- The
truth is, big data services companies still don't know what is to be
done with it. Most companies use Hadoop for their data storage. Fast Data
origins can be linked to Big Data variety, velocity and volume concepts.
Fast Data is not just about high frequency data intake.
It is about data
processing in real-time, arriving at quick action-based results and taking
decisions based on these results. All this while dealing with complex
analytics. Conclusively, Big Data Services
can only be effective if organizations interpret Big Data findings in
real-time:
Data Processing Timeliness
Picture an online shopping company that wants to
recommend its products to a customer. Recommendations are based on the
customer's latest purchases. Only, the shopping website can't make these
recommendations fast enough.
How soon in real-time can the website collect data,
summarize and then provide the shopping options - preferably in real-time?
Unless they want to lose the customer. This is where Fast Data comes in, adding
immediacy to the proceedings. Timeliness and accuracy are two prime Fast Data
attributes.
Fast Data includes sampled recommendations, sensors
that pass on instant trend changes and choices. When it comes to pinpointing
loopholes or instances of inefficiency, go for Fast Data. View this video to know
more about the need for In Memory database technology in Fast Data.
Data Analytics
More focused analytics is now possible, thanks to
Fast Data. Analytics enables customization of services or products. It enables
better decision-making, leading to better customer service and faster fraud
detection, among other things.
The question you need to ask is, at what particular
time do you go for analytics? The more you are able to analyze in real-time,
the more easier it becomes to take action on the basis of analytic results.
Learn about Fast with Apache Spark in this video.
Streaming Data Analytics
Fast Data makes a critical difference in obtaining
results within a limited time span. For example, why would you want information
on a customer who has already left the store or website? Fast Data helps
organizations make similar make-or-break decisions.
Processing streaming data is a vital part of Fast
Data. Making automated decisions based on streaming machine data is important
for the process. You may call this streaming analytics. At the same time, human
intervention in the automated decisions are necessary.
That is why the automated dashboards and streaming
data sources need to be interactive for that ever important human tweaking and
final authorization.
Fast Data Architecture
When we look at a Fast Data architecture, it will
feature real-time analytics, taking in information, and giving immediate
results and resultant decisions. Instant, real-time solutions are possible if
you integrate your Big Data system (consisting of a Hadoop database, SQL on
Hadoop, MapReduce and related big data components) to the company's
applications. This whole set up can then be connected to the Fast Data
architecture as displayed in the illustration above.
Fast Data Usage
Elements like dashboards can be served quickly,
with Fast Data usage. The operations systems can be constantly powered by
instant analytics, the entire system thus working at a rapid pace. Building
this big data dependent applications with big
data solution providers combined with fast data capability applications can
entirely change its efficiency. Architecture plays a key role here. Learn about
picking the right database for Fast Data here.
The Emerging Big Data (Fast Data) Stack
Finally, Fast Data is Big Data that is constantly
moving. Imagine a pipeline through which data is flowing in great speed. Here
are the Emerging Big Data (Fast Data) Stack details:
- The first level concerns focused services. It
concerns applying key processes and functions to obtain
significant value from streaming data. Fraud detection, travel
forecasting and similar services can thus be availed faster.
- The second layer consists of real-time
analytics based on the streaming data. The company's business logic is
then put to use to make real-time decisions.
- In the Fast Data layer, the data is then
exported for analytics and long term storage to Hadoop and other data
storage options.Speed, real-time and accuracy are key elements of the
entire stack.
Streaming is however just a part of the Fast Data
solutions. OLTP databases are the in thing for processing streaming data.
You can thus have speed and scale using an in-memory database, designed to
handle data streaming at great speed. One popular Fast Data database is VoltDB.
Summary
Fast Data is powering innovation, while using Big
Data to obtain key insights and conclusions. Anything real-time, be it
security, fraud surveillance, risk analytics, customer choices, etc - Fast Data
helps deliver instant, accurate Big Date solutions. The Big Data and
Fast Data challenge is finally about concurrency. Just how much amount of data
can be taken up at a given amount of time? This is for companies to decide. Read
more about technology in our blogs section.
(Emerging Big Data Stack and Fast Data
Architecture Images, Courtesy O’Reilly Media)
Source: Cuelogic Blog
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Created on Sep 6th 2019 05:31. Viewed 501 times.