This document discusses database systems and database management systems (DBMS). It defines a database as a collection of related data stored centrally or across multiple locations. A DBMS is software that creates, organizes, and maintains databases to make them more efficient. The key components of a DBMS are the database engine, data definition, data manipulation, application generation, and data administration functions. Logical database design involves how data appears to users and is organized, while physical design refers to how it is stored. The relational model using tables is now dominant. Recent trends include distributed databases, data-driven websites, and object-oriented databases.
This document discusses database systems, data warehouses, and data marts. It defines key concepts like databases, database management systems (DBMS), data hierarchy, and logical and physical database design. It also explains different data models including hierarchical, network and relational models. Additionally, it describes the components of a DBMS like the database engine, data definition, data manipulation, application generation and data administration functions. The roles of data administrators in designing, securing and managing database systems are also summarized.
This document provides an overview of basic database concepts including:
1) It defines a database as a collection of related data stored centrally or across multiple locations, and a database management system (DBMS) as software for creating, accessing, and managing database files.
2) It describes the main components of a DBMS including the database engine, data definition, data manipulation, application generation, and data administration functions.
3) It explains common database models like the relational model which uses tables, rows, columns and relationships between tables to organize data, and normalization to reduce data redundancy.
The document discusses the key components and advantages of database systems compared to traditional file systems. It notes that database systems evolved from file systems to address issues like data redundancy, lack of flexibility, and structural dependence. The main components of a database system are the database itself, which stores data and metadata in an integrated structure, and the database management system (DBMS), which manages access to the database and provides advantages like improved data sharing and security. In contrast to file systems, database systems provide data independence and eliminate many shortcomings of file-based data processing.
The document discusses the key components of computer systems, including hardware components like the central processing unit and memory devices, as well as software components like operating systems and application programs. It covers topics like the history of computer development from early vacuum tube computers to modern transistor-based systems. It also discusses factors that determine a computer's power such as speed, accuracy, and storage/retrieval capabilities. Input/output devices, computer classifications, and generations of computer languages are also summarized.
Data base chapter 2 | detail about the topichoseg78377
This document discusses database management systems and databases. It begins by introducing database users such as administrators, designers, end users, and analysts. It then covers the advantages of using a database approach such as controlling redundancy, restricting access, and enforcing integrity constraints. Finally, it briefly discusses the history of database technology and some examples of database applications.
This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
The document discusses hardware components of computer systems including input, processing, output and storage devices. It describes how organizations invest in hardware to improve productivity and business operations. The key hardware components that perform input, processing, storage and output functions are the central processing unit (CPU), memory, registers, motherboard, buses and various storage devices. The CPU contains an arithmetic logic unit and control unit, while memory provides temporary storage and comes in different types like RAM, ROM, and cache. Secondary storage devices like magnetic tapes, disks, and solid state drives are used to permanently store large amounts of data.
This document discusses distributed database management systems (DDBMS). It describes the purpose and components of DDBMS, which distribute data storage and processing functions across interconnected computer systems. The advantages include improved performance, scalability, and availability compared to centralized databases. However, DDBMS also introduce greater complexity in transaction management, concurrency control, and other areas to maintain data integrity and consistency across sites.
This document discusses database systems, data warehouses, and data marts. It defines key concepts like databases, database management systems (DBMS), data hierarchy, and logical and physical database design. It also explains different data models including hierarchical, network and relational models. Additionally, it describes the components of a DBMS like the database engine, data definition, data manipulation, application generation and data administration functions. The roles of data administrators in designing, securing and managing database systems are also summarized.
This document provides an overview of basic database concepts including:
1) It defines a database as a collection of related data stored centrally or across multiple locations, and a database management system (DBMS) as software for creating, accessing, and managing database files.
2) It describes the main components of a DBMS including the database engine, data definition, data manipulation, application generation, and data administration functions.
3) It explains common database models like the relational model which uses tables, rows, columns and relationships between tables to organize data, and normalization to reduce data redundancy.
The document discusses the key components and advantages of database systems compared to traditional file systems. It notes that database systems evolved from file systems to address issues like data redundancy, lack of flexibility, and structural dependence. The main components of a database system are the database itself, which stores data and metadata in an integrated structure, and the database management system (DBMS), which manages access to the database and provides advantages like improved data sharing and security. In contrast to file systems, database systems provide data independence and eliminate many shortcomings of file-based data processing.
The document discusses the key components of computer systems, including hardware components like the central processing unit and memory devices, as well as software components like operating systems and application programs. It covers topics like the history of computer development from early vacuum tube computers to modern transistor-based systems. It also discusses factors that determine a computer's power such as speed, accuracy, and storage/retrieval capabilities. Input/output devices, computer classifications, and generations of computer languages are also summarized.
Data base chapter 2 | detail about the topichoseg78377
This document discusses database management systems and databases. It begins by introducing database users such as administrators, designers, end users, and analysts. It then covers the advantages of using a database approach such as controlling redundancy, restricting access, and enforcing integrity constraints. Finally, it briefly discusses the history of database technology and some examples of database applications.
This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
The document discusses hardware components of computer systems including input, processing, output and storage devices. It describes how organizations invest in hardware to improve productivity and business operations. The key hardware components that perform input, processing, storage and output functions are the central processing unit (CPU), memory, registers, motherboard, buses and various storage devices. The CPU contains an arithmetic logic unit and control unit, while memory provides temporary storage and comes in different types like RAM, ROM, and cache. Secondary storage devices like magnetic tapes, disks, and solid state drives are used to permanently store large amounts of data.
This document discusses distributed database management systems (DDBMS). It describes the purpose and components of DDBMS, which distribute data storage and processing functions across interconnected computer systems. The advantages include improved performance, scalability, and availability compared to centralized databases. However, DDBMS also introduce greater complexity in transaction management, concurrency control, and other areas to maintain data integrity and consistency across sites.
The document discusses databases and data management. It defines key concepts like databases, database management systems (DBMS), logical database design, and the relational database model. It also covers recent trends in database design such as data-driven websites, distributed databases, and advances in artificial intelligence. The overall focus is on introducing fundamental database concepts and how databases are used to store and manage organizational data.
This document provides an outline for a course on databases and database users. It introduces key concepts about databases including what a database is, database properties, database management systems, actors involved with databases like administrators and designers, advantages of databases over file systems, and common database applications. The outline covers topics that will be taught like introduction to PHP and MySQL, how to code applications with databases, and how to perform common tasks with databases.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
Chapter 4 security part ii auditing database systemsjayussuryawan
This document discusses database systems and auditing databases. It covers the problems with flat file data management that led to database systems, the components and models of databases including hierarchical, network and relational models. It also discusses centralized, partitioned and replicated database deployment, database administration, access controls, backup controls and audit procedures for testing controls.
Which Change Data Capture Strategy is Right for You?Precisely
Change Data Capture or CDC is the practice of moving the changes made in an important transactional system to other systems, so that data is kept current and consistent across the enterprise. CDC keeps reporting and analytic systems working on the latest, most accurate data.
Many different CDC strategies exist. Each strategy has advantages and disadvantages. Some put an undue burden on the source database. They can cause queries or applications to become slow or even fail. Some bog down network bandwidth, or have big delays between change and replication.
Each business process has different requirements, as well. For some business needs, a replication delay of more than a second is too long. For others, a delay of less than 24 hours is excellent.
Which CDC strategy will match your business needs? How do you choose?
View this webcast on-demand to learn:
• Advantages and disadvantages of different CDC methods
• The replication latency your project requires
• How to keep data current in Big Data technologies like Hadoop
This document provides an overview and summary of key topics related to database design and management. It outlines the course contents, which include concepts of database management, database modeling, SQL, distributed databases, and database administration. It also discusses database terminology, the advantages of using a database management system (DBMS) compared to file-based systems, including improved data sharing and reduced redundancy. The components of a DBMS environment are identified as hardware, software, data, procedures, and people.
With MySQL being the most popular open source DBMS in the world and with an estimated growth of 16 percent anually until 2020,we can assume that sooner or later an Oracle DBA will be handling a MySQL database in their shop. This beginner/intermediate-level session will take you through my journey of an Oracle DBA and my first 100 days of starting to administer a MySQL database, show several demos and all the roadblocks and the success I had along this path.
The document describes a fitness tracking web application that aims to help users manage their fitness journey. It provides an intuitive interface for users to easily input and track their fitness activities, workouts, nutrition, and health data. The application utilizes robust database systems to securely store user data and integrate with wearable fitness devices. The frontend structure has been developed for key pages, and responsive design principles have been applied. Upcoming tasks include establishing the backend server infrastructure for user authentication, data storage, API development, and testing the integration between frontend and backend.
This document provides an introduction to database management systems (DBMS). It discusses the key components and advantages of a DBMS, including storing and retrieving data, centralized access, data security, and automated backups. It also compares DBMS to file systems, highlighting how DBMS offers greater data consistency, security, and crash recovery capabilities. Finally, it outlines the three schema architecture used to separate the conceptual, internal, and external views of a database.
CP 121_2.pptx about time to be implementflyinimohamed
The document discusses database concepts and architecture. It covers the three levels of data abstraction - physical, logical, and external levels. It also describes the three schema architecture, including the physical, conceptual, and external schemas. This architecture provides data independence and allows mappings between the different levels. The document also discusses different types of database systems such as single-user, multi-user, centralized, distributed, parallel, and client/server databases.
Watch the companion webinar at: http://embt.co/1FTVdGF
Every year the State of Texas CIO releases the five-year State Strategic Plan with IT initiatives for government organizations to implement. How many of the items from the November 2014 plan update have you planned for or put in place? If you need help aligning with these state objectives, join this session to learn how ER/Studio can enhance your data architecture to meet these goals.
In this age of data policies and protection, Texas State agencies are required to develop controls to ensure confidentiality, integrity and availability of their data. In this webinar, we’ll show a live demonstration of ER/Studio and describe how it addresses key areas of the strategic objectives, including:
+ Data security and privacy classifications
+ Data quality and availability requirements
+ Enterprise planning and collaboration within and across organizations
This document provides an introduction to database management systems (DBMS). It defines key DBMS concepts like databases, data, schemas, and instances. It describes typical DBMS functionality like defining databases, loading data, querying data, and concurrent access. It introduces data models, DBMS languages, database users, and advantages of the database approach. It also discusses the hierarchical and network data models. The document aims to give an overview of fundamental DBMS concepts and components.
SharePoint Governance: stories, myths, legends and real lifeToni Frankola
SharePoint governance starts with a 600-page document. At our 30-person company, we need a 40-person SharePoint Governance committee, and nobody can determine why a housekeeper has access to the governance document.
Have you heard this type of statement? We most certainly have. In this session, Toni will bust myths like these by providing a workable approach to SharePoint governance in small and large enterprises. We will talk about setting policies as well as what makes sense and what doesn’t. We will break down the governance plan and examine its pieces. Most importantly, we will talk about implementing these policies based on real-life use cases, where no one reads 600-page documents.
Session highlights:
- Developing a workable governance plan
- Setting realistic governance policies
- Automatizing policies implementation
The document provides an introduction to databases and database management systems (DBMS). It discusses the limitations of traditional file-based data storage systems, including data duplication, separation, and incompatibility between files. It then describes how a DBMS addresses these issues through a centralized database that can be shared and accessed. Key components of a DBMS environment include hardware, software, data, procedures, and personnel to design, manage and use the database. Advantages of DBMS include data consistency and reduced redundancy, while disadvantages include increased complexity, costs and potential impact of failures.
The document provides an introduction to database systems, including:
- Key components of a database system including the database, DBMS, schemas, instances, and three-schema architecture.
- Data models used to represent data at different levels of abstraction.
- Roles of different users who interact with the database such as administrators, designers, and end users.
- Architectures for DBMS including centralized, client-server, and multi-tier architectures.
- Concepts of data independence which allows changes at one level without affecting other levels.
The document provides an introduction to database principles. It discusses the limitations of file-based data management systems and how database management systems were developed to overcome these limitations. The key components of a database system are described, including the database, database management system, and application programs. Roles in a database environment like database administrators and end users are defined. Advantages of relational database management systems like controlling redundancy and improving data integrity are outlined. Some disadvantages of database systems like complexity and increased hardware costs are also noted.
SharePoint 2013 Governance Planning - SharePoint governance is the set of policies, roles, responsibilities, and processes that guides, directs, and controls how an organization's business divisions and IT teams cooperate to achieve business goals.
(1) Oracle Enterprise Manager 13c provides a single pane of glass for managing IT infrastructure across on-premise and cloud environments. (2) It offers unified monitoring, lifecycle management capabilities for databases, and configuration standardization. (3) Key features include automated patch management, database provisioning, and compliance with standards like STIG through continuous auditing and drift detection.
This document defines key concepts and components of database systems. It discusses data models, database schemas, database languages, and the three schema architecture. The conceptual, logical, and physical levels of a database system are described as well as common DBMS functions and users.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
The document discusses databases and data management. It defines key concepts like databases, database management systems (DBMS), logical database design, and the relational database model. It also covers recent trends in database design such as data-driven websites, distributed databases, and advances in artificial intelligence. The overall focus is on introducing fundamental database concepts and how databases are used to store and manage organizational data.
This document provides an outline for a course on databases and database users. It introduces key concepts about databases including what a database is, database properties, database management systems, actors involved with databases like administrators and designers, advantages of databases over file systems, and common database applications. The outline covers topics that will be taught like introduction to PHP and MySQL, how to code applications with databases, and how to perform common tasks with databases.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
Chapter 4 security part ii auditing database systemsjayussuryawan
This document discusses database systems and auditing databases. It covers the problems with flat file data management that led to database systems, the components and models of databases including hierarchical, network and relational models. It also discusses centralized, partitioned and replicated database deployment, database administration, access controls, backup controls and audit procedures for testing controls.
Which Change Data Capture Strategy is Right for You?Precisely
Change Data Capture or CDC is the practice of moving the changes made in an important transactional system to other systems, so that data is kept current and consistent across the enterprise. CDC keeps reporting and analytic systems working on the latest, most accurate data.
Many different CDC strategies exist. Each strategy has advantages and disadvantages. Some put an undue burden on the source database. They can cause queries or applications to become slow or even fail. Some bog down network bandwidth, or have big delays between change and replication.
Each business process has different requirements, as well. For some business needs, a replication delay of more than a second is too long. For others, a delay of less than 24 hours is excellent.
Which CDC strategy will match your business needs? How do you choose?
View this webcast on-demand to learn:
• Advantages and disadvantages of different CDC methods
• The replication latency your project requires
• How to keep data current in Big Data technologies like Hadoop
This document provides an overview and summary of key topics related to database design and management. It outlines the course contents, which include concepts of database management, database modeling, SQL, distributed databases, and database administration. It also discusses database terminology, the advantages of using a database management system (DBMS) compared to file-based systems, including improved data sharing and reduced redundancy. The components of a DBMS environment are identified as hardware, software, data, procedures, and people.
With MySQL being the most popular open source DBMS in the world and with an estimated growth of 16 percent anually until 2020,we can assume that sooner or later an Oracle DBA will be handling a MySQL database in their shop. This beginner/intermediate-level session will take you through my journey of an Oracle DBA and my first 100 days of starting to administer a MySQL database, show several demos and all the roadblocks and the success I had along this path.
The document describes a fitness tracking web application that aims to help users manage their fitness journey. It provides an intuitive interface for users to easily input and track their fitness activities, workouts, nutrition, and health data. The application utilizes robust database systems to securely store user data and integrate with wearable fitness devices. The frontend structure has been developed for key pages, and responsive design principles have been applied. Upcoming tasks include establishing the backend server infrastructure for user authentication, data storage, API development, and testing the integration between frontend and backend.
This document provides an introduction to database management systems (DBMS). It discusses the key components and advantages of a DBMS, including storing and retrieving data, centralized access, data security, and automated backups. It also compares DBMS to file systems, highlighting how DBMS offers greater data consistency, security, and crash recovery capabilities. Finally, it outlines the three schema architecture used to separate the conceptual, internal, and external views of a database.
CP 121_2.pptx about time to be implementflyinimohamed
The document discusses database concepts and architecture. It covers the three levels of data abstraction - physical, logical, and external levels. It also describes the three schema architecture, including the physical, conceptual, and external schemas. This architecture provides data independence and allows mappings between the different levels. The document also discusses different types of database systems such as single-user, multi-user, centralized, distributed, parallel, and client/server databases.
Watch the companion webinar at: http://embt.co/1FTVdGF
Every year the State of Texas CIO releases the five-year State Strategic Plan with IT initiatives for government organizations to implement. How many of the items from the November 2014 plan update have you planned for or put in place? If you need help aligning with these state objectives, join this session to learn how ER/Studio can enhance your data architecture to meet these goals.
In this age of data policies and protection, Texas State agencies are required to develop controls to ensure confidentiality, integrity and availability of their data. In this webinar, we’ll show a live demonstration of ER/Studio and describe how it addresses key areas of the strategic objectives, including:
+ Data security and privacy classifications
+ Data quality and availability requirements
+ Enterprise planning and collaboration within and across organizations
This document provides an introduction to database management systems (DBMS). It defines key DBMS concepts like databases, data, schemas, and instances. It describes typical DBMS functionality like defining databases, loading data, querying data, and concurrent access. It introduces data models, DBMS languages, database users, and advantages of the database approach. It also discusses the hierarchical and network data models. The document aims to give an overview of fundamental DBMS concepts and components.
SharePoint Governance: stories, myths, legends and real lifeToni Frankola
SharePoint governance starts with a 600-page document. At our 30-person company, we need a 40-person SharePoint Governance committee, and nobody can determine why a housekeeper has access to the governance document.
Have you heard this type of statement? We most certainly have. In this session, Toni will bust myths like these by providing a workable approach to SharePoint governance in small and large enterprises. We will talk about setting policies as well as what makes sense and what doesn’t. We will break down the governance plan and examine its pieces. Most importantly, we will talk about implementing these policies based on real-life use cases, where no one reads 600-page documents.
Session highlights:
- Developing a workable governance plan
- Setting realistic governance policies
- Automatizing policies implementation
The document provides an introduction to databases and database management systems (DBMS). It discusses the limitations of traditional file-based data storage systems, including data duplication, separation, and incompatibility between files. It then describes how a DBMS addresses these issues through a centralized database that can be shared and accessed. Key components of a DBMS environment include hardware, software, data, procedures, and personnel to design, manage and use the database. Advantages of DBMS include data consistency and reduced redundancy, while disadvantages include increased complexity, costs and potential impact of failures.
The document provides an introduction to database systems, including:
- Key components of a database system including the database, DBMS, schemas, instances, and three-schema architecture.
- Data models used to represent data at different levels of abstraction.
- Roles of different users who interact with the database such as administrators, designers, and end users.
- Architectures for DBMS including centralized, client-server, and multi-tier architectures.
- Concepts of data independence which allows changes at one level without affecting other levels.
The document provides an introduction to database principles. It discusses the limitations of file-based data management systems and how database management systems were developed to overcome these limitations. The key components of a database system are described, including the database, database management system, and application programs. Roles in a database environment like database administrators and end users are defined. Advantages of relational database management systems like controlling redundancy and improving data integrity are outlined. Some disadvantages of database systems like complexity and increased hardware costs are also noted.
SharePoint 2013 Governance Planning - SharePoint governance is the set of policies, roles, responsibilities, and processes that guides, directs, and controls how an organization's business divisions and IT teams cooperate to achieve business goals.
(1) Oracle Enterprise Manager 13c provides a single pane of glass for managing IT infrastructure across on-premise and cloud environments. (2) It offers unified monitoring, lifecycle management capabilities for databases, and configuration standardization. (3) Key features include automated patch management, database provisioning, and compliance with standards like STIG through continuous auditing and drift detection.
This document defines key concepts and components of database systems. It discusses data models, database schemas, database languages, and the three schema architecture. The conceptual, logical, and physical levels of a database system are described as well as common DBMS functions and users.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
4. Advantages of Databases
• More information from
same data
• Shared data
• Balancing conflicts
among users
• Controlled redundancy
• Consistency
• Integrity
• Security
• Increased productivity
• Data independence
24. DATABASE SYSTEM LIFE CYCLE
STAGE PROCESS MODEL DATA MODEL
Initialization Report Report
Feasibility Report
High Level DFD
Process Analysis
(Business Chart)
High Level E/R Diagram
Requirements
General
DFD
High Level Dictionary
Top Down E/R
File Specifications
Requirements
Logical
DFD
Data Dictionary
File Specifications
Process Logic
Bottom Up E/R
Action Diagrams
System Design Structure Charts
Module IPO Specification
Screen/Report Layouts
Cleanup
Volume/Usage Analysis
Physical Schema
Index/Record Specs
Coding/Testing Test Plan
Logs and Documentation
Code
Implementation Installation Plan Population Plan