Data and System Integration: Key Components and Demo Running Instructions

data and system integration

Table of Contents
1.0 Introduction:......................................................................................................................................3
2.0 Key System Components:.............................................................................................................3
2.1 Data Merging and Cleansing:....................................................................................................3
2.2 RESTful services..........................................................................................................................4
2.3 Data Mashups...............................................................................................................................5
3.0 Demo Running Instruction:...........................................................................................................6
4.0 Conclusion:.....................................................................................................................................10
References.............................................................................................................................................10

Table of Figures
Figure 1 merging the xml and csv file.........................................................................................................7
Figure 2 Using Restful API for finding the Services.....................................................................................8
Figure 3 To use the Clinic id to find the location.......................................................................................8
Figure 4 easily find out the location of the clinic map using MapAPI........................................................9

1.0 Introduction:
Data integration is the process of combining the data from the different resources and it also
gives users with the unique view of the resources and this process is different in various times
and combining the databases of two companies is the example for the data integration. The
data base are combined from two different resources. System integration is the process of
merge or join the system and components together to form a larger system. And it is also used
to adding the values to the system through the functionalities for connection of different
systems with functions. It also involves combining the different domains and research the
results. In the same way preparation of huge amounts of data like financial information,
customers information and other important information’s for the bigger and higher
organizations. The combining of the information happening for very larger data sets. So, the
getting each and every information during this process is very difficult. In this technique the
location and directions are going to use to identify the hospital that is clinic services by the
application programming interface restful services. Using the location provided in the geo
location with the help of the map for finding of health services is based on the python
calculation.
2.0 Key System Components:
2.1 Data Merging and Cleansing:
It is the process of combining data from sources which are different from each other. And it
provides users with view the data in the form of single view. The examples for data merging are
combining the data from the hospital sites to the clinics and then analyzing the data. And the
next example is generating data from scientific studies and that will provide better data
analysis. Data merging is a specific feature and it allows us to transfer and determine the
information from our document. With data merging we can easily work and easily arrange and
paginate the pictures and texts as well as words when we reading and studying the external
resource files in the .txt and .csv formats.