This presentation deals with the fundamentals of SQL, Installation and Database concepts. Presented by our team in Alphalogic Inc: https://www.alphalogicinc.com/
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
This ppt helps people who would like to present their industrial training presentation on Oracle 11g DBA.
This one includes all the operations that dba has to be perform and some other internal concepts of Oracle.
This presentation deals with the fundamentals of SQL, Installation and Database concepts. Presented by our team in Alphalogic Inc: https://www.alphalogicinc.com/
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
This ppt helps people who would like to present their industrial training presentation on Oracle 11g DBA.
This one includes all the operations that dba has to be perform and some other internal concepts of Oracle.
Introduction to oracle database (basic concepts)Bilal Arshad
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Introduction To Oracle Database
Oracle is an Relational Database
Database Management System
What is Oracle Schema ??
Schema !!
More about Schema !!!
Table
Indexes
Oracle Table Spaces
Datafiles
The Oracle Schema or User
Data Access
PL/SQL and Java
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
Introduction to oracle database (basic concepts)Bilal Arshad
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Introduction To Oracle Database
Oracle is an Relational Database
Database Management System
What is Oracle Schema ??
Schema !!
More about Schema !!!
Table
Indexes
Oracle Table Spaces
Datafiles
The Oracle Schema or User
Data Access
PL/SQL and Java
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
Oracle 11g New Features Out-of-the-Box by Alex Gorbachev (from Sydney Oracle ...Alex Gorbachev
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Learn some of the Oracle 11g gems that often gets unnoticed. Features that are not revolutionary in nature but can greatly simplify day-to-day life of any Oracle DBA.
The presentation is based on the material presented by Christo Kutrovsky at the Oracle Open World 2007 and later used by me to produce content for this presentation at the IOUG Collaborate 2008.
www.ukocn.com - Oracle Database Options. Here's an overview of the six key information insight challenges faced by companies and organizations today and how Oracle, coupled with their suite of Database Options, are positioned to addresses them. For more information on UKOCN and to join the fastest growing Oracle Community Network visit www.ukocn.com
In general, database is a collection of data in an organized manner. The organized structure of the database makes it easier to manage the data efficiently. For instance, the structured data is easy to handle and perform specific analysis. Copy the link given below and paste it in new browser window to get more information on Oracle Database:- www.transtutors.com/homework-help/computer-science/oracle-database.aspx
Managing large chain of Hotels and ERP database comprises of core areas such as HRMS & PIP.HRMS (Human Resource Management System), which further includes areas such as Soft Joining, Promotion, Transfer, Confirmation, Leave Attendance and Exit, etc. PIP (Payroll Information Portal), wherein employees can view their individual Salary details, submit investment declaration, Reimbursement claim & CTC structuring, etc. Management of Large Chain of Hotels and ERP Database in AWS Cloud involves continuous monitoring with regards to the areas such as Performance of resource usages and optimization techniques relating to the use of PL/SQL. High Availability (HA) of data is accomplished through the Backup and Recovery mechanism and security of the data by Encryption & Decryption mechanism.
SQL vs NoSQL, Structured Query Language (SQL)
More rigid and structured way of storing data
Consists of two or more tables with columns and rows
Relationship between tables and field types is called a schema
A well-designed schema minimizes data redundancy and prevents tables from becoming out-of-sync.
NoSQL: Not only SQL
Greater flexibility than their traditional counterparts
Unstructured data from the web
NoSQL databases are document-oriented
Ease of access
Modern databases and its challenges (SQL ,NoSQL, NewSQL)Mohamed Galal
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Nowadays the amount of data becomes very large, every organization produces a huge amount of data daily.
Thus we want new technology to help in storing and query a huge amount of data in acceptable time.
The old relational model may help in consistency but it was not designed to deal with big data problem.
In this slides, I will describe the relational model, NoSql Models and the NewSql models with some examples.
An perspective into the raise of NoSQL systems and an comparison between RDBMS and NoSQL technologies.
The basic idea of the presentation originated while trying to understand the different alternatives available for managing data while building a fast, highly scalable, available, and reliable enterprise application.
SURVEY ON IMPLEMANTATION OF COLUMN ORIENTED NOSQL DATA STORES ( BIGTABLE & CA...IJCERT JOURNAL
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NOSQL is a database provides a mechanism for storage and retrieval of data that is modeled for huge amount of data which is used in big data and Cloud Computing . NOSQL systems are also called "Not only SQL" to emphasize that they may support SQL-like query languages. A basic classification of NOSQL is based on data model; they are like column, Document, Key-Value etc. The objective of this paper is to study and compare the implantation of various column oriented data stores like Bigtable, Cassandra.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
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In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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Clients donât know what they donât know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clientsâ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatâs changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. ORACLE HISTORY
Larry Ellison and his two friends and former co-workers, Bob Miner and
Ed Oates, started a consultancy called Software Development
Laboratories (SDL) in 1977. SDL developed the original version of the
Oracle software.
Developer
Usage
Oracle Database Architecture. An Oracle database is a collection of data treated
as a unit. The purpose of a database is to store and retrieve related
information. A database server is the key to solving the problems of information
management.
The i in oracle 8i and 9i stands for INTERNET and the g in 10g and 11g stands
for GRID, because from 10g onwards oracle supports grid architecture.
Meaning of i & g in Oracle databases
Oracle released Oracle Database 12c into general availability July 1, 2013.
According to Oracle, this is "the first database designed for the cloud.â
Meaning of Oracle 12c
4. The major Oracle versions, with their latest patch-sets
are:
Oracle 7: ... - 7.3.4.5
Oracle 8: 8.0.3 - 8.0.6
Oracle 8i: 8.1.5.0 - 8.1.7.4
Oracle 9i (Release 1): 9.0.1.0 - 9.0.1.4
Oracle 9i (Release 2): 9.2.0.1 - 9.2.0.8
Oracle 10g (Release 1): 10.1.0.2 - 10.1.0.5
Oracle 10g (Release 2): 10.2.0.1 - 10.2.0.5
Oracle 11g (Release 1): 11.1.0.6 - 11.1.0.7
Oracle 11g (Release 2): 11.2.0.1 - 11.2.0.4
Oracle 12c (Release 1): 12.1.0.1 - 12.1.0.2.0
Note: If running on one of the above releases, it is
recommended to always install the latest patch-set.
5. OVERVIEW OF ORACLE GRID ARCHITECTURE
Grid computing is a new IT architecture that produces more resilient and lower
cost enterprise information systems. With grid computing, groups of independent,
modular hardware and software components can be connected and rejoined on
demand to meet the changing needs of businesses.
Benefits of Grid Computing
Compared to other models of computing, IT systems designed and implemented
in the grid style deliver
īŧhigher quality of service,
īŧlower cost, and
īŧgreater flexibility.
īŧHigher quality of service results from having no single point of failure,
īŧa robust security infrastructure, and
īŧcentralized, policy-driven management.
īŧLower costs derive from increasing the utilization of resources and
dramatically reducing management and maintenance costs.
īŧRather than dedicating a stack of software and hardware to a specific
task, all resources are pooled and allocated on demand, thus eliminating under
utilized capacity and redundant capabilities.
Grid computing also enables the use of smaller individual hardware components,
thus reducing the cost of each individual component and providing more flexibility
to devote resources in accordance with changing needs.
6. ORACLE FAMILY
īĸ Personal Oracle- for single users. Used to develop
systems
īĸ Oracle Standard Edition- (Entry level Workgroup
server)
īĸ Oracle Enterprise edition- Extended functionality
īĸ Oracle Lite- (Oracle mobile) single users using
wireless devices.
7. SOME DEVELOPER TOOLS
īĸ Oracle Forms Developer
īĸ Oracle Reports Developer
īĸ Oracle Jdeveloper
īĸ Oracle Designer
11. DATABASE STRUCTURE
īĸ Logical structure - maps the data to the Physical
structure.
īĸ Physical structure -part of the operating systemâs file
structure.
īĸ Memory structure - where all the processing takes
place.
12. THE LOGICAL STRUCTURES
īĸ control how the data must be stored in the
database.
īĸ five Logical structures:
ī tablespaces
ī segments
ī extents
ī data blocks
ī schema objects
14. TABLESPACES
īĸ A database is divided into logical storage units
called Tablespaces.
īĸ logical construct for arranging different types
of data
īĸ An Oracle database must have at least a
system tablespace.
īĸ It is recommended to have different
tablespaces for user and system data.
16. DATA BLOCKS
īĸ The smallest unit of Input/Output used by Oracle
database.
īĸ The size of data block for any database is fixed at the
time of creation of the database;
īĸ Some values of the data block size are 2KB, 8KB,
16KB, and 32KB.
īĸ Oracle recommends a size of 8KB
17. EXTENTS
īĸ The next level of data storage.
īĸ One extent consists of a specific number of
data blocks
īĸ One or more extents in turn make up a
segment.
īĸ When the existing space in a segment is
completely used, Oracle allocates a new
extent for the segment.
18. SEGMENT
īĸ A segment consists of a set of extents
īĸ Each tableâs data is stored in its own single
segment.
īĸ Each indexâs data is stored in a single
segment.
īĸ More extents are automatically allocated by
Oracle to a segment if its existing extents
become full.
īĸ The different types of segments are the data
segments, index segments,rollback segments,
and temporary segments.
19. PHYSICAL DATABASE STRUCTURE
īĸ Password file - which contain the password
information for all users.
īĸ Parameter file - which contains all the important
information necessary to start a database.
īĸ Datafiles - which contain the application data
being stored, as well as any data necessary to
store user-IDs, passwords, and privileges.
īĸ Redo log files - which store all the transactions
made to the database. These files are also called
transaction log files.
īĸ Control files - which store information specifying
the structure of the database,such as the name
and time of creation of the database and the
name and location of the datafiles.
21. DATA ACCESS: SQL
īĸ Data definition language (DDL) statements
īĸ Data manipulation language (DML)
statements
īĸ Transaction control statements
īĸ Session control statements
īĸ System control statements
īĸ Embedded SQL statements
22. TRANSACTIONS
īĸ A transaction is a logical unit of work that comprises
one or more SQL statement executed by a single
user. According to the ANSI/ISO SQL standard, with
which Oracle is compatible, a transaction begins with
the userâs first executable SQL statement. A
transaction ends when it is explicitly committed or
rolled back.
24. DATA ACCESS: SQL
Session Control Statements
These statements let a user control the properties of the current
session, including enabling and disabling roles and changing language
settings. The two session control statements are
ALTER SESSION and SET ROLE.
System Control Statements
These statements change the properties of the Oracle database
instance. The only system control statement is ALTER SYSTEM.
It lets users change settings, such as the minimum number of shared
servers, kill a session, and perform other tasks.
Embedded SQL Statements
These statements incorporate DDL, DML, and transaction control
statements in a procedural language program, such as those used with
the Oracle precompilers. Examples include OPEN,
CLOSE, FETCH, and EXECUTE
25. Overview of Data types
Each column value and constant in a SQL statement has a data
type, which is associated with a specific storage format,
constraints, and a valid range of values. When you create a table,
you must specify a datatype for each of its columns.
Oracle provides the following built-in data types:
īąCharacter datatypes
īąNumeric datatypes
īąDATE datatype
īąLOB datatypes
īąRAW and LONG RAW datatypes
26. Relational Model Concepts
īŦ A Relation is a mathematical concept based on
the ideas of sets
īŦ The model was first proposed by Dr. E.F. Codd of
IBM Research in 1970 in the following paper:
â "A Relational Model for Large Shared Data Banks," Communications of
the ACM (Association for Computing machinery), June 1970
īŦ The above paper caused a major revolution in the
field of database management
27. FUNCTIONS OF A DBMS
īĸ Data definition: SQL lets a user define the structure and organization
of the stored data and relationships among the stored data items.
īĸ Data retrieval: SQL allows a user or an application program to retrieve
stored data from the database and use it.
īĸ Data manipulation: SQL allows a user or an application program to
update the database by adding new data, removing old data, and
modifying previously stored data.
īĸ Access control: SQL can be used to restrict a userâs ability to retrieve,
add, and modify data, protecting stored data against unauthorized
access.
īĸ Data sharing: SQL is used to coordinate data sharing by concurrent
users, ensuring that they do not interfere with one another.
īĸ Data integrity: SQL defines integrity constraints in the database,
protecting it from corruption due to inconsistent updates or system
failures.
īĸ SQL is thus a comprehensive language for controlling and interacting
with a database management system.
28. Informal Definitions
īŦ Informally, a relation looks like a table of values.
īŦ A relation typically contains a set of rows.
īŦ The data elements in each row represent certain facts
that correspond to a real-world entity or relationship
â In the formal model, rows are called tuples
īŦ Each column has a column header that gives an
indication of the meaning of the data items in that column
â In the formal model, the column header is
called an attribute name (or just attribute)
30. Relational Integrity Constraints
īŦ Constraints are conditions that must hold on all
valid relation states.
īŦ There are three main types of constraints in the
relational model:
â Key constraints
â Entity integrity constraints
â Referential integrity constraints
īŦ Another implicit constraint is the domain
constraint
â Every value in a tuple must be from the domain of its attribute (or it
could be null, if allowed for that attribute)
31. STRUCTURED QUERY LANGUAGE
īĸ SQL (Structured Query Language) is a database sub-language for
querying and modifying relational databases.
īĸ It was developed by IBM Research in the mid 70's and standardized by
ANSI in 1986.
īĸ Relational Model defines two root languages for accessing a relational
database -- Relational Algebra and Relational Calculus.