Techniques of infrastructure management

Running head: DATA MANAGEMENT
DATA MANAGEMENT
Name of the Student
Name of the university
Author note

1DATA MANAGEMENT
Question 1
IS Concepts and Classification
IS concepts and classification emerged as basic requirement to growth of
organization. This means about management of hardware as well as software of the
organization. At present the organizations are using distant techniques of infrastructure
management. It helps also in reducing the operational expenses.
Big Data Analytics
Big Data Analytics is said to be as a complex process that helps in examining large
and varied sets of volumes of data as well as big data for covering information like customer
preferences, market trends as well as unknown correlations which could help organizations in
making decisions of business (Wamba, et al. 2017). It examines huge quantity of data for
analyzing the data of the organization.
Change data capture
Change data capture (CDC) is a design patterns of software that is used for
determining as well as tracking data which has changed for action could be taken by use of
changed data. This is approach of data integration which is dependent on identification,
delivery and capture of changes that are made to the data sources of organization.
ETL, RDBMSs
ETL
It is the short form of extract, transform and load, the database functions which are
combined in one tool for pulling data of a database and shift it in other database. The process
to read data from database is known as extract. The process to convert data extracted from

2DATA MANAGEMENT
previous form to form that is required is known as transform. Load is process to write data in
target database.
RDBMSs
DBMS that are mainly designed for relational databases are called RDBMS. Hence
RDBMSs are subset of the DBMSs. In a relational database, data is stored within structured
format, and the structure makes use of rows as well as columns (Wu, et al. 2016). It makes
this easy in locating as well as accessing specific values in database. This is relational as the
values of all tables are related with one another.
Hadoop and MapReduce
Hadoop
Hadoop is software of an open source framework to store and run applications over
commodity hardware’s clusters. This provides huge storage of any type of data, huge
processing power as well as ability in handling limitless virtually concurrent jobs or tasks.
Hadoop is key consideration having data volumes as well as varieties increasing constantly.
MapReduce
MapReduce refers to program model as well as processing technique for the purpose
of distributed computing which is based upon java. The algorithm considers two essential
tasks: Map and Reduce. Map accepts data sets and converts this in another data set (Hashem
et al. 2016). Output from map is taken by reduce task as the input and then combines the data
tuples in smaller tuples set.
Internet of Things