This ppt portrays what exactly is data, what is DBMS, application areas of DBMS, what is OLTP, NoSQL, Big Data Analytics and career options in DBMS.

3. Data may be logically organized into characters, fields,
records, files, and databases , just as writing can be
organized into letters, words, sentences, paragraphs,
and documents.

4.  A database is an integrated collection of logically related
data elements.
 The data stored in a database are independent of the
application programs using them and of the type of storage
devices on which they are stored.

5.  It is basically a computer based record keeping system
(program).
eg: MySQL, Microsoft Access, Oracle, Sybase. Etc
 A database is not generally portable across different
DBMSs, but different DBMS can interoperate by
using standards such as SQL, ODBC or JDBC to allow a
single application to work with more than one DBMS.
 DBMSs provide various functions that allow management
of a database and its data which can be classified into four
main functional groups:
1. Data definition
2. Update
3. Retrieval
4. Administration

6.  Data Models
1. Relational 2. Network
3.Hierarchical

8.  Some application areas of DBMS
1. Banking: Customer information, accounts, loans and banking
transactions.
2. Airlines: For reservations and schedule information. Airlines were among
the first to use databases in a geographically distributed manner.
3. Universities: For student information, course registrations and grades.
4. Telecommunication: For keeping records of calls made, generating
monthly bills, maintaining balances on prepaid calling cards, and storing
information about the communication networks.
5. Sales: For customer, product, and purchase information.
6. Manufacturing: For management of supply chain and for tracking
production of items in factories, inventories of items in warehouses and
orders for items.
7. Human resources: For information about employees, salaries, payroll
taxes and benefits, and for generation of paychecks.

9.  It is a class of information systems that facilitate and
manage transaction-oriented applications.
 Some examples of OLTP systems include order entry,
retail sales, and financial transaction systems.

10.  It provides a mechanism for storage and retrieval of data
that is modeled in means other than the tabular relations
used in relational databases.
 It was triggered by the needs of Web 2.0 companies such
as Facebook, Google and Amazon.com
 Motivations for this approach include: simplicity of design,
simpler scaling to clusters of machines, which is a
problem for relational databases, and finer control over
availability.

11.  Big data analytics is the process of examining large data
sets containing a variety of data types.
 The primary goal of big data analytics is to help
companies make more informed business decisions.
 Big data needs to be updated frequently or even
continually. As a result, many organizations looking to
collect, process and analyze big data have turned to a
newer class of technologies that includes Hadoop as well
as NoSQL databases.

12.  Database administrators (DBAs) - set up databases according
to a company’s needs and make sure they operate efficiently.
 Data Management Analysts – Generating, Tracking and
Maintaining the reports. Analyze the reports to determine
appropriate resolutions.
 System Specialists - This position functions as the system
administrator, first-line technical support contact, and trainer.
 Production Support Engineers – They support DBAs, Data
Management Analysts and System Specialists round the clock
and ensure smooth running..