This document introduces the concept of data structures. It states that data structures are fundamental to computer science as they define how data is organized and stored in memory. Good knowledge of data structures is important for efficiently designing software systems. The document provides examples of how real-world objects like dictionaries, maps, and cash books are structured and organized. It defines a data structure as a set of rules for organizing data in memory in a convenient form to be processed by programs.
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Discuss how the data resource management methods of today will need .pdfaksharatelicom
Discuss how the data resource management methods of today will need to evolve as more types
of data emerge
Solution
Data administration or data resource management is an organizational function working in the
areas of information systems and computer science that plans, organizes, describes and controls
data resources. Data resources are usually as stored in databases under a database management
system or other software such as electronic spreadsheets.
Early data management systems automated traditional information processing. Today they
allow fast, reliable, and secure access to globally distributed data. Tomorrow\'s systems will
access and summarize richer forms of data. It is argued that multimedia databases will be a
cornerstone of cyberspace.The multimedia data include one or more primary media data types
such as text, images, graphicobjects (including drawings, sketches and illustrations) animation
sequences, audio and video..
Discuss how the data resource management methods of today will need to.docxwviola
Discuss how the data resource management methods of today will need to evolve as more types of data emerge
Solution
Data administration or data resource management is an organizational function working in the areas of information systems and computer science that plans, organizes, describes and controls data resources. Data resources are usually as stored in databases under a database management system or other software such as electronic spreadsheets.
Early data management systems automated traditional information processing. Today they allow fast, reliable, and secure access to globally distributed data. Tomorrow\'s systems will access and summarize richer forms of data. It is argued that multimedia databases will be a cornerstone of cyberspace.The multimedia data include one or more primary media data types such as text, images, graphicobjects (including drawings, sketches and illustrations) animation sequences, audio and video.
.
Abstract: Every program whether in c, java or any other language consists of a set of commands which are based on the logic behind the program as well as the syntax of the language and does the task of either fetching or storing the data to the computer, now here comes the role of the word known as “data structure”. In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key in designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Now as different data structures are having their different usage and benefits, hence selection of the same is a task of importance. “Therefore the paper consists of the basic terms and information regarding data structures in detail later on will be followed by the practical usage of different data structures that will be helpful for the programmer for selection of a perfect data structure that would make the programme much more easy and flexible.Keywords: Data structures, Arrays, Lists, Trees.
Title: Data Structure the Basic Structure for Programming
Author: Shubhangi Johri, Siddhi Garg, Sonali Rawat
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN: 2350-1022
Paper Publications
Howdy! Check this cool example of business analytics project. http://www.mbacapstoneproject.com/writing-winning-business-analytics-mba-capstone-tips-ideas-examples/
Discuss how the data resource management methods of today will need .pdfaksharatelicom
Discuss how the data resource management methods of today will need to evolve as more types
of data emerge
Solution
Data administration or data resource management is an organizational function working in the
areas of information systems and computer science that plans, organizes, describes and controls
data resources. Data resources are usually as stored in databases under a database management
system or other software such as electronic spreadsheets.
Early data management systems automated traditional information processing. Today they
allow fast, reliable, and secure access to globally distributed data. Tomorrow\'s systems will
access and summarize richer forms of data. It is argued that multimedia databases will be a
cornerstone of cyberspace.The multimedia data include one or more primary media data types
such as text, images, graphicobjects (including drawings, sketches and illustrations) animation
sequences, audio and video..
Discuss how the data resource management methods of today will need to.docxwviola
Discuss how the data resource management methods of today will need to evolve as more types of data emerge
Solution
Data administration or data resource management is an organizational function working in the areas of information systems and computer science that plans, organizes, describes and controls data resources. Data resources are usually as stored in databases under a database management system or other software such as electronic spreadsheets.
Early data management systems automated traditional information processing. Today they allow fast, reliable, and secure access to globally distributed data. Tomorrow\'s systems will access and summarize richer forms of data. It is argued that multimedia databases will be a cornerstone of cyberspace.The multimedia data include one or more primary media data types such as text, images, graphicobjects (including drawings, sketches and illustrations) animation sequences, audio and video.
.
Abstract: Every program whether in c, java or any other language consists of a set of commands which are based on the logic behind the program as well as the syntax of the language and does the task of either fetching or storing the data to the computer, now here comes the role of the word known as “data structure”. In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key in designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Now as different data structures are having their different usage and benefits, hence selection of the same is a task of importance. “Therefore the paper consists of the basic terms and information regarding data structures in detail later on will be followed by the practical usage of different data structures that will be helpful for the programmer for selection of a perfect data structure that would make the programme much more easy and flexible.Keywords: Data structures, Arrays, Lists, Trees.
Title: Data Structure the Basic Structure for Programming
Author: Shubhangi Johri, Siddhi Garg, Sonali Rawat
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN: 2350-1022
Paper Publications
THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO DATABASE SYSTEMS (AI-DB INTEG...IJCI JOURNAL
In recent times, it can be deduced that a distributed workforce is the future of work, and the future is now.
Therefore, it is essential to know that AI-DB integration is not only for the effective application of Artificial
intelligence technology, and the development of database technology, but also for the next generation of
computing, which will support future Intelligent Information Systems, and allow work to be more effective
and productive. Hence, AI-DB Integration will contribute generally to the infrastructure of science and
technology, businesses, and humanitarian applications of computers. With all the potential contributions in
play, AI-DB Integration is considerably more important than might be assumed from its contribution to the
enhancement of AI and DB technologies alone. In this review, different concepts were discussed by
emphasizing some key areas like the design of Intelligent Database Interfaces (IDIs), Learnable databases,
and Smart Query. The three fundamental areas geared us to investigate how AI enhances database
efficiency by optimizing query performance, automating routine management tasks, and fortifying data
security. Also, the paper presents short-term and long-term application areas where AI and databases have
converged, providing a comprehensive overview of progress, challenges, and opportunities. The outcome of
this review expresses some authors' or experts’ opinions on the need for and importance of AI-DB
integration and on the future generation of computing
This white paper provides an overview of the patented technologies and associated processes that combine to deliver a unique and highly scalable solution for unstructured text/data analytics
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
The technology of object oriented databases was introduced to system developers in
the late 1980’s. Object DBMSs add database functionality to object programming languages. A
major benefit of this approach is the unification of the application and database development into
a seamless data model and language environment. As a result, applications require less code, use
more natural data modeling, and code bases are easier to maintain.
Abstract: Every program whether in c, java or any other language consists of a set of commands which are based on the logic behind the program as well as the syntax of the language and does the task of either fetching or storing the data to the computer, now here comes the role of the word known as “data structure”. In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key in designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Now as different data structures are having their different usage and benefits, hence selection of the same is a task of importance. “Therefore the paper consists of the basic terms and information regarding data structures in detail later on will be followed by the practical usage of different data structures that will be helpful for the programmer for selection of a perfect data structure that would make the programme much more easy and flexible.
Keywords: Data structures, Arrays, Lists, Trees.
THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO DATABASE SYSTEMS (AI-DB INTEG...IJCI JOURNAL
In recent times, it can be deduced that a distributed workforce is the future of work, and the future is now.
Therefore, it is essential to know that AI-DB integration is not only for the effective application of Artificial
intelligence technology, and the development of database technology, but also for the next generation of
computing, which will support future Intelligent Information Systems, and allow work to be more effective
and productive. Hence, AI-DB Integration will contribute generally to the infrastructure of science and
technology, businesses, and humanitarian applications of computers. With all the potential contributions in
play, AI-DB Integration is considerably more important than might be assumed from its contribution to the
enhancement of AI and DB technologies alone. In this review, different concepts were discussed by
emphasizing some key areas like the design of Intelligent Database Interfaces (IDIs), Learnable databases,
and Smart Query. The three fundamental areas geared us to investigate how AI enhances database
efficiency by optimizing query performance, automating routine management tasks, and fortifying data
security. Also, the paper presents short-term and long-term application areas where AI and databases have
converged, providing a comprehensive overview of progress, challenges, and opportunities. The outcome of
this review expresses some authors' or experts’ opinions on the need for and importance of AI-DB
integration and on the future generation of computing
This white paper provides an overview of the patented technologies and associated processes that combine to deliver a unique and highly scalable solution for unstructured text/data analytics
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
The technology of object oriented databases was introduced to system developers in
the late 1980’s. Object DBMSs add database functionality to object programming languages. A
major benefit of this approach is the unification of the application and database development into
a seamless data model and language environment. As a result, applications require less code, use
more natural data modeling, and code bases are easier to maintain.
Abstract: Every program whether in c, java or any other language consists of a set of commands which are based on the logic behind the program as well as the syntax of the language and does the task of either fetching or storing the data to the computer, now here comes the role of the word known as “data structure”. In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key in designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Now as different data structures are having their different usage and benefits, hence selection of the same is a task of importance. “Therefore the paper consists of the basic terms and information regarding data structures in detail later on will be followed by the practical usage of different data structures that will be helpful for the programmer for selection of a perfect data structure that would make the programme much more easy and flexible.
Keywords: Data structures, Arrays, Lists, Trees.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. INTRODUCTION
Data structure is the most fundamental
and building block concept in computer
science.
A good knowledge of DS must to design,
develop efficient software systems.
We deal the data all the time, how we
store, organize and group our data
together matters.
4. INTRODUCTION
E.g.
Dictionary (words are sorted) but what is the
word in dictionary is not sorted..
It is organized sort list of words.
City map (landmark, routing connection –
organized in the form of geometrics.
It is well structured which helps to identify
landmarks.
Cash book (organized and structured in tables)
It needs to structure all kind of data(images,
videos, text, relational data and geospatial data)
5.
6. A data structure is a means of organizing
data in primary memory in a form that is
convenient to process by a program.
In the definition of data structure, structure
means a set of rules that holds the data
together.
In other words, if we take a group of data
and fit them into a structure such that we can
define its relating rules, we have made a data
structure.
7. Data is stored either in main memory or in secondary
memory.
In order to represent data we need some models.
The different models (logical or mathematical) to
represent/organize/store data in the main memory
are together referred to as data structures.
The data structure is collection of data organized in
a specific manner in computer’s main memory.
The data structure is a way Abstract Data Type
(ADT) can be implemented.
