Tableau and its Relevance - Discussion

Running head: TABLEAU AND ITS RELEVANCE
Tableau and its Relevance
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TABLEAU AND ITS RELEVANCE
Table of Contents
Introduction................................................................................................................................3
Discussion and findings.............................................................................................................3
Tools, technologies and techniques relative to tableau in data warehousing.........................4
Critical Evaluation of the tools relative with Tableau...............................................................6
Conclusion..................................................................................................................................8
References................................................................................................................................10

TABLEAU AND ITS RELEVANCE
Introduction
Tableau is one of the powerful as well as one of the fastest growing tool of data
visualization which is utilized in the industry of business intelligence. One of the advantages
of the utilization of this particular tool is that it helps in the simplification of raw data into an
understandable format in a very easy manner [4] . The analysis of data takes place in a faster
manner with the utilization of the tool of data visualization. All the visualizations gets created
like that of the form of dashboards and worksheets
The data which gets created by the utilization of this tool of data visualization could
only be understood by the professionals who are present at any levels within any particular
organization. Even a non-technical user is allowed by this tool of data visualization for the
aim of the creation of the dashboards. Several types of features of Tableau comprises of
blending of data, real time analysis along with data collaboration to name a few. This
software does not demand any sort of skills of programming for operating it. All sectors of
the industry like researchers, business take interest in the utilization of this software.
This report focuses on the discussion of Tableau along with its relevance in the
context of the environments of data warehousing. This report also purposes to focus on the
tools, techniques along with the technologies relative with this software along with its
relevance with the environments of data warehousing. The report also aims to critically
discuss the as well as evaluate the tool, techniques and technologies related with this
software.
Discussion and findings
Several kinds of flexible and powerful applications are provided by Tableau which
could easily be utilized by anyone for understanding the data from any of the sources. This in
turn involves higher performance along with enterprise data warehouses with higher

TABLEAU AND ITS RELEVANCE
capacities [5] . The resultant visualizations, reports and dashboards could easily be shared
across various kinds of organizations in the analytics which are based on web. In addition to
this, Tableau utilizes the functionality of direct access in the data warehouses [6] .This in
turn helps in enabling the abilities of the novice users for the creation of several kinds of
compelling stories in Tableau.
Six connections of data warehouses which are mostly utilized comprises of Oracle,
Teradata, Hadoop, Cloudera, Microsoft MS SQL along with Amazon Web Services-Redshift.
In addition to this, Tableau is an American software company which focuses on the
interaction of data visualization [10] . It was founded in the year 2003 and is headquartered in
the United States.
Tools, technologies and techniques relative to tableau in data warehousing
Tableau Prep is an ETL or Extract Transform Tool which permits the users in the
procedure of the extraction of data from various kinds of sources [11] . It also permits all the
users in transforming of data along with outputting of data to Tableau Data Extract with the
utilization of a new Hyper database in the form of the extract engine for the aim of the
analysis. On the other hand, data warehousing could help in solving several bigger challenges
which are related with data ranging from disparate as well as disorganized sources. In
addition to this, various sources of enterprise data are consolidated by the warehouses.
This in turn forms one of the critical elements related with the industry of business
intelligence. Several products of Tableau query cloud databases, online analytical processing
cubes along with several types of relational databases for the generation of those data
visualization which are of graph-type [12] . These particular products could help in the
process of extraction, storing along with the retrieval of data from a single in-memory engine
of data.