Bigdata design, development and implementation are emerging need of today’s Business Virtualization and future world
strongly depend on this emerging and needful technology of Bigdata and Bigdata management to generate BIS dash-boards front of
business decision makers using business analytics as we discussed with the help of two models in this paper [1-6].
Keywords: Bigdata; Bigdata management; Hadoop; Business virtualization
This is our first developed model related to Bigdata and
Business virtualization. This model has expansion through design
line from Bigdata Analysis to Bigdata Designing and Bigdata
Designing to Bigdata Development with their respective designing
essentials and functions. At stage one Bigdata analysis fundamental
considerations are Corporate Opportunities, Environments,
function, data needs. At stage two Bigdata designing is Advance
Bigdata Engineering tools to fulfill requirements using Hadoop or
other one and at the stage three Bigdata development we need to
Advance Business Interface, data streaming, quick response time
for Business Virtualization (VB). These are the few which I covered
likewise several facts and figures need to gather and revised timely
to keep update in Bigdata technologies and Business virtualization,
but most common for all covered on model (Figure 1).
Figure 1: Design line.
3B Models of Bigdata Engineering
This is second important model which purely discussed
to Bigdata engineering requirements considering three most
important factors which are Bigdata Organization, Bigdata Storage
Technologies and Bigdata Link. The first one important factor
Bigdata Organization concern to innovative data structures,
storage technologies-media and procedures to retrieve engineering
whereas Second parameter Bigdata Storage Technologies engage
to design long-lasting Storage, Advanced Backup & Recovery
Mechanisms. The third important criterion is Bigdata Link where
engineering must need to carry on High data streaming and Quick
response time (Figure 2).
Figure 2: Bigdata Organization, Bigdata Storage Technologies and Bigdata Link.
We had developed two models for better understanding with
Bigdata and Business Virtualization labeled as Bigdata Design Line
Model and 3B Model of Bigdata Engineering. Through these models
we focused on engineering aspects of Bigdata as well as discuss
essential of its like to compete in this environment, broadband
operators are trying to implement Big Data projects that give them
new insights into their network and subscribers. Operators have
many disparate systems that send bits of information into the
Telco’s data mart, but the data is fragmented and not very granular.
Operators often have probes deployed in their networks, but
most focus on signaling information and they lack KPIs on the
actual broadband experience delivered to the subscriber - resulting
in customer complaints of a slow network and the operator
responding that their network is up, so it can’t be their problem.
These systems are not integrated into the OSS/BSS and do not
perform subscriber correlation in real-time, losing opportunities
to proactively deliver targeted offers and rectify problems before a
subscriber realizes that there is an issue on the network. Operators
are also looking to monetize their subscriber usage data externally,
but they often lack the granularity and correlation of that data to
maximize the value to external audiences like enterprises, retail, or
advertising companies.
Email Us: info@lupinepublishers.com 
Call Us: +1 (914) 407-6109
Abstract
PDF
.png)
.jpg)
Click here for Manuscript Sample Templates
