Big Data Systems Enterprise Deployment, Integration, Scalability and Security Issues

BIG DATA SYSTEMS ENTERPRISE DEPLOYMENT, INTEGRATION, SCALABILITY
AND SECURITY ISSUES
Big data systems enterprise deployment, integration, scalability and security issues
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BIG DATA SYSTEMS ENTERPRISE DEPLOYMENT, INTEGRATION, SCALABILITY
AND SECURITY ISSUES 2
Introduction to Company
The existence of systems used to host databases is in line with reporting as well as the
sharing of the information in organisations. Slicing Dice is offers data warehouse and analytic
database extensive services and will be the focus of this paper. With the necessity to store, load,
query as well as visualize data among engineers, management of composite base of data is
always mind-boggling. Therefore, SliceDice came in to suffice the gap by allowing companies to
simply put in and question a wide array of real-time, historical, or time-series data eliminating
the need for server management. The aforesaid follows a contemporary increased need by users
for an instant, effective as well as secure modes. An absolute amount of information amongst the
enterprise, retrieving data in an efficient manner mandate for aligned attempts between existent
systems.
Since the emergence of Enterprise Data Warehouses about 30 years ago, it not only
became popular but an essential facet for SliceDice operations of business intelligence.
Therefore, the technology is credited for creating a real impact on the general accomplishments
of the organization. In essence, EDW, as implemented in the company, is a database that lays in
all data related to the company. Similarly, it provides information to all cleared users, as well as
offers support in terms of thorough analytical thinking. Through a detailed and approachable
report system, SliceDice implemented warehouse can be used differently by third-party
organizations. However, due to the changing needs of the company, consideration is made to
integrate big data through Hadoop into the existing EDW architecture.

BIG DATA SYSTEMS ENTERPRISE DEPLOYMENT, INTEGRATION, SCALABILITY
AND SECURITY ISSUES 3
Data Flow
The move looks forward to creating a relationship between the company's data warehouse
with big data, hence, creating a hybrid model. The latter will ardently emerge as extremely
structured, and optimized functional data. The latter is intended to be left at the strictly
manipulated data warehouse whereas the Hadoop-based infrastructure will have real-time control
all data that is subject to alteration as well as extremely distributed data. SliceDice comprehends
that it is posed with a business necessity for combining conventional data warehouses, the
historic business sources of data as well as a lesser integrated source of big data. Therefore, it
resolute to the hybrid model since it will support orthodox and sources of big data in the bid to
meet their daily goals.
Figure 1 Big Five Vs of Big Data
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BIG DATA SYSTEMS ENTERPRISE DEPLOYMENT, INTEGRATION, SCALABILITY
AND SECURITY ISSUES 4
SliceDice is designed to provide data querying assistance to all companies implementing
a web presence as to be mentioned. First, it seeks to bolster clients' financial health so that the
relevant executives including CFO, CEO and CIO cannot be extravagant. Limitless as well as
free storage of data are offered at different price models which are determined by the volume of
inserted data. Similarly, it offers a simple and sheer price which allows clients to select between
cheap price models including wage-per-column or wage-per-gigabyte. The platform provides an
entirely free test for databases through a live demo runnable through a third-party website.
Lastly, SliceDice can easily liberate a client from committing to its website by simply
terminating an account as well as instant exporting of the data.
Reckoning the engineers need for peace of mind, SliceDice offers handy features that
allow them to focus on insight giving and creativity. First is the entire lack of server management
as a solution levying of all infrastructure worries. Secondly, a high presence and backup are
enabled through a built-in redundancy having three independent data centres. They provide
independent and simultaneous configuration allowing for continuous servicing and support
through clients' insertion and query of data. Thirdly, SliceDice poses nil sustenance requirements
since one only needs to insert their data and query through SQL or the sites REST API.
Therefore, it offers trivial needs for tuning or tweaking databases. A lucid increase in space is
also supported without the need of any concern. Set up client libraries are provided hence,
making it easy for clients to integrate SliceDice with other frameworks. Creation of native users
made from popular languages including Java, Python, JavaScript, PHP, Arduino, Ruby and .NET
(Sharif and Cooney 2015).
Another reason for structuring the hybrid data warehouse into SliceDice includes the
need for an assured backward compatibility. The move ensures that any use of the API will