The document discusses the steps for creating an Oracle database instance, including understanding prerequisites, configuring initial settings, and using tools like the Database Configuration Assistant. It covers choosing a database type and management method, authentication options, storage mechanisms, and file management techniques. The key aspects are installing Oracle software, using DBCA or scripts to create the database, selecting initialization parameters, and starting/stopping the database instance.
This document provides an overview and reference information for Oracle Process Manufacturing APIs. It describes:
- Understanding Oracle Process Manufacturing APIs and how they import data into application tables
- Getting API information from the Oracle Integration Repository and Electronic Technical Reference Manual
- Standard Oracle Applications packages used by the APIs
- Messages and errors returned by the APIs
The document contains chapters describing the Oracle Process Manufacturing APIs for areas like cost management, process planning, quality management, and more.
The document defines and discusses databases. It states that a database is a collection of interrelated data stored together to serve multiple applications. It also defines a database management system as a computer-based record keeping system. The document notes that databases overcome limitations of typical file processing systems like data redundancy, inconsistency, inability to share data, lack of standardization and insecure data. It discusses the advantages of databases like reduced redundancy, controlled inconsistency, shared data, standardized data, secured data and integrated data. Finally, it provides an overview of database design levels from external views to the conceptual and physical levels.
Amul is an Indian dairy cooperative founded in 1946 by Tribhuvandas Patel and Verghese Kurien in Anand, Gujarat. It is managed by the Gujarat Cooperative Milk Marketing Federation Ltd. which today has over 3 million milk producers as owners. Amul produces and distributes various dairy products, including milk, butter, ice cream, cheese and beverages. It also operates "any time milk" machines that dispense fresh milk pouches.
Oracle Forms: Introduction to multiple FormsSekhar Byna
This document discusses how to implement multiple form applications in PowerBuilder. It describes using the OPEN_FORM built-in to call one form from another, sharing data between forms through global variables, and transaction management across multiple concurrently open forms. Forms can exchange data via global variables or parameter lists defined in the database. Navigation between forms is flexible and transactions may span multiple forms as required.
Amul produces a variety of dairy products including ice cream, bread spreads, milk drinks, fresh milk, powder milk, cheese, ghee and butter. It prices some popular products like paneer at 19 rupees, butter at 23 rupees, and fresh cream at 28 rupees. Amul promotes its brand using the iconic Amul girl mascot, which has become a household name in India. It distributes products through 300 stock keeping units, 46 sales offices, 3600 distributors and over 1.5 million retailer outlets across the country.
The document discusses the steps for creating an Oracle database instance, including understanding prerequisites, configuring initial settings, and using tools like the Database Configuration Assistant. It covers choosing a database type and management method, authentication options, storage mechanisms, and file management techniques. The key aspects are installing Oracle software, using DBCA or scripts to create the database, selecting initialization parameters, and starting/stopping the database instance.
This document provides an overview and reference information for Oracle Process Manufacturing APIs. It describes:
- Understanding Oracle Process Manufacturing APIs and how they import data into application tables
- Getting API information from the Oracle Integration Repository and Electronic Technical Reference Manual
- Standard Oracle Applications packages used by the APIs
- Messages and errors returned by the APIs
The document contains chapters describing the Oracle Process Manufacturing APIs for areas like cost management, process planning, quality management, and more.
The document defines and discusses databases. It states that a database is a collection of interrelated data stored together to serve multiple applications. It also defines a database management system as a computer-based record keeping system. The document notes that databases overcome limitations of typical file processing systems like data redundancy, inconsistency, inability to share data, lack of standardization and insecure data. It discusses the advantages of databases like reduced redundancy, controlled inconsistency, shared data, standardized data, secured data and integrated data. Finally, it provides an overview of database design levels from external views to the conceptual and physical levels.
Amul is an Indian dairy cooperative founded in 1946 by Tribhuvandas Patel and Verghese Kurien in Anand, Gujarat. It is managed by the Gujarat Cooperative Milk Marketing Federation Ltd. which today has over 3 million milk producers as owners. Amul produces and distributes various dairy products, including milk, butter, ice cream, cheese and beverages. It also operates "any time milk" machines that dispense fresh milk pouches.
Oracle Forms: Introduction to multiple FormsSekhar Byna
This document discusses how to implement multiple form applications in PowerBuilder. It describes using the OPEN_FORM built-in to call one form from another, sharing data between forms through global variables, and transaction management across multiple concurrently open forms. Forms can exchange data via global variables or parameter lists defined in the database. Navigation between forms is flexible and transactions may span multiple forms as required.
Amul produces a variety of dairy products including ice cream, bread spreads, milk drinks, fresh milk, powder milk, cheese, ghee and butter. It prices some popular products like paneer at 19 rupees, butter at 23 rupees, and fresh cream at 28 rupees. Amul promotes its brand using the iconic Amul girl mascot, which has become a household name in India. It distributes products through 300 stock keeping units, 46 sales offices, 3600 distributors and over 1.5 million retailer outlets across the country.
The document provides an overview of a Power BI training course. The course objectives include learning about connecting to data sources, transforming data, building data model relationships, using DAX functions to transform data, and creating visualizations. It discusses topics like importing data from CSV and Excel files into Power BI, using Power Query to transform data, establishing relationships between tables in the data model, using measures and columns with DAX, and building basic and dynamic visualizations. It also provides resources for sample data files and additional learning materials for the course.
This document provides tutorials and information about developing applications using Oracle Application Framework (OAF). It includes steps for creating an OAF search page, including creating an application module, entity object, view object, and page with a query region to display search results. Contact information is provided for consulting and training services related to OAF application development.
The document discusses Oracle Fusion enterprise structures. It defines key concepts like enterprise, division, legal entity, and business unit. An enterprise captures a company name and headquarters. Structures are implemented through legal entities, divisions/business units, and departments. Divisions segregate businesses and business units perform functions that can be managed together. Legal entities define registered companies. Departments track employees. Reference data sets share common data like jobs, grades, and locations across business units. The Enterprise Structures Configurator tool guides users to set up divisions, entities, units, and reference data based on questions about an enterprise.
The document provides best practices for using SAP Business Objects with Teradata databases. It discusses ODBC setup, universe design considerations, and leveraging Teradata features within Business Objects. Specific topics covered include using the appropriate ODBC version, setting connection properties, avoiding character set errors, utilizing Teradata functions, and designing universes for standard versus ad-hoc reporting. The goal is to optimize performance and flexibility when using Business Objects with Teradata.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
PHP e PostgreSQL: Um é pouco, dois é bom, três é demaisFabrízio Mello
Desenvolver uma aplicação em PHP com PostgreSQL é uma combinação interessante, pois permite criar apps web escaláveis e de alta performance, bem como serviços, jobs, etc. Mas na maioria das vezes o uso fica limitado a conectar, executar um SQL e desconectar do banco de dados. Porém a extensão PostgreSQL para PHP implementa uma série de recursos interessantes: queries assincronas, notificação assincrona, bulk load, BLOBs, cursores, consultas preparadas, etc. Veremos um pouco desses recursos. Palestra apresentada na PHP Conference 2017 em Osasco/SP
The document provides an introduction to SQL (Structured Query Language) and its basic concepts and commands for interacting with relational databases. It explains how to query data using SELECT statements, filter results using WHERE clauses, group data using GROUP BY, perform calculations using aggregate functions like COUNT, AVG, and SUM, sort results with ORDER BY, and join data from multiple tables. Examples are provided for each concept to illustrate how it can be used to extract and analyze data from database tables.
This document outlines the steps to set up and run retroactive pay by element in payroll, including creating a salary element, retro element, event group, and assignment set for retropay. It describes running payroll for two months, making a salary change, then running a retropay calculation from January to March 2000 to see the adjusted payroll results for March.
This document provides information about Oracle Corporation and its warehouse management system (WMS) offerings. It summarizes Oracle's business, key acquisitions, customers, strengths, and compares its WMS solutions to competitors like SAP, JDA Software, Manhattan Associates, and others. The summary highlights that Oracle has a strong global reach with over 40% of its WMS deployed outside of North America, broad industry coverage, a large employee and partner network, and an aggressive cloud strategy including the LogFire acquisition.
This document discusses Oracle's Transaction Account Builder (TAB) which is used to derive accounting flexfields for subledger transactions in Oracle Fusion Applications. TAB replaces prior account generator solutions and provides a more flexible and configurable way to default transaction accounts. The key building blocks of TAB include Transaction Account Definitions, Transaction Account Types, Account Rules, Mapping Sets, and Sources. Seeded TAB setup and custom TAB setup options are also described.
The document discusses the relational database model. It begins by defining key terms like data, information, database, and DBMS. It then explains the relational model proposed by E.F. Codd, showing an example student database. Codd's rules for relational databases are listed. Types of database anomalies and keys like super keys, candidate keys, and foreign keys are also defined. The advantages of relational databases include structural independence and conceptual simplicity. Disadvantages include increased hardware needs and the potential for poor database design.
El documento propone una metodología llamada "Agile BI Governance" para reducir el índice de fracaso de los proyectos de Business Intelligence. Esta metodología se basa en los valores y principios del enfoque ágil, y promueve la madurez conjunta de los sistemas de BI y la organización a través de la eliminación de la brecha entre TI y el negocio. El documento describe los elementos clave de esta metodología como los valores, órganos de gobierno, áreas de decisión y mecanismos de gobierno.
The document provides an introduction to database management systems (DBMS). It can be summarized as follows:
1. A DBMS allows for the storage and retrieval of large amounts of related data in an organized manner. It removes data redundancy and allows for fast retrieval of data.
2. Key components of a DBMS include the database engine, data definition subsystem, data manipulation subsystem, application generation subsystem, and data administration subsystem.
3. A DBMS uses a data model to represent the organization of data in a database. Common data models include the entity-relationship model, object-oriented model, and relational model.
A database is a persistent, organized collection of data stored on a secondary storage medium like a hard disk. Traditionally, companies stored data in separate files leading to data duplication and inconsistency when changes were made. A database management system (DBMS) provides a solution by allowing centralized control over the database through separation of data and an interface. A DBMS manages access, prevents duplication and inconsistency, and enables the creation of relational databases and querying of data through forms, queries, and reports.
The document provides an overview of unit 2.4 which introduces students to basic concepts in bioinformatics and databases. The objectives are to understand relational databases, major online biological databases, and how to extract data from databases. It also discusses challenges with large genomic data sets and how bioinformatics can help make sense of such data through databases, algorithms, and computational approaches.
traffic sign detection using deep learning.pptxbrijeshbs2
This document discusses methods for traffic sign detection and classification using neural networks. It describes gathering and labeling a large dataset of street images containing various traffic signs and objects. A YOLO algorithm is used to detect regions of interest within images for classification by an R-CNN neural network. Results are evaluated based on accuracy and types of failures, such as false positives. Future work involves improving the dataset size and quality to increase detection accuracy.
This document introduces Open Refine, an open source tool for cleaning and profiling messy data. It discusses how data from various sources can be inconsistent and inaccurate, and how Open Refine allows users to visualize their data, manipulate it to correct errors, and learn about the nature of the data. The basics of Open Refine involve using its interface and built-in transformations as well as custom functions like GREL and regular expressions to clean and restructure data.
The document discusses the rise of NoSQL databases. It notes that NoSQL databases are designed to run on clusters of commodity hardware, making them better suited than relational databases for large-scale data and web-scale applications. The document also discusses some of the limitations of relational databases, including the impedance mismatch between relational and in-memory data structures and their inability to easily scale across clusters. This has led many large websites and organizations handling big data to adopt NoSQL databases that are more performant and scalable.
The document provides an overview of a Power BI training course. The course objectives include learning about connecting to data sources, transforming data, building data model relationships, using DAX functions to transform data, and creating visualizations. It discusses topics like importing data from CSV and Excel files into Power BI, using Power Query to transform data, establishing relationships between tables in the data model, using measures and columns with DAX, and building basic and dynamic visualizations. It also provides resources for sample data files and additional learning materials for the course.
This document provides tutorials and information about developing applications using Oracle Application Framework (OAF). It includes steps for creating an OAF search page, including creating an application module, entity object, view object, and page with a query region to display search results. Contact information is provided for consulting and training services related to OAF application development.
The document discusses Oracle Fusion enterprise structures. It defines key concepts like enterprise, division, legal entity, and business unit. An enterprise captures a company name and headquarters. Structures are implemented through legal entities, divisions/business units, and departments. Divisions segregate businesses and business units perform functions that can be managed together. Legal entities define registered companies. Departments track employees. Reference data sets share common data like jobs, grades, and locations across business units. The Enterprise Structures Configurator tool guides users to set up divisions, entities, units, and reference data based on questions about an enterprise.
The document provides best practices for using SAP Business Objects with Teradata databases. It discusses ODBC setup, universe design considerations, and leveraging Teradata features within Business Objects. Specific topics covered include using the appropriate ODBC version, setting connection properties, avoiding character set errors, utilizing Teradata functions, and designing universes for standard versus ad-hoc reporting. The goal is to optimize performance and flexibility when using Business Objects with Teradata.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
PHP e PostgreSQL: Um é pouco, dois é bom, três é demaisFabrízio Mello
Desenvolver uma aplicação em PHP com PostgreSQL é uma combinação interessante, pois permite criar apps web escaláveis e de alta performance, bem como serviços, jobs, etc. Mas na maioria das vezes o uso fica limitado a conectar, executar um SQL e desconectar do banco de dados. Porém a extensão PostgreSQL para PHP implementa uma série de recursos interessantes: queries assincronas, notificação assincrona, bulk load, BLOBs, cursores, consultas preparadas, etc. Veremos um pouco desses recursos. Palestra apresentada na PHP Conference 2017 em Osasco/SP
The document provides an introduction to SQL (Structured Query Language) and its basic concepts and commands for interacting with relational databases. It explains how to query data using SELECT statements, filter results using WHERE clauses, group data using GROUP BY, perform calculations using aggregate functions like COUNT, AVG, and SUM, sort results with ORDER BY, and join data from multiple tables. Examples are provided for each concept to illustrate how it can be used to extract and analyze data from database tables.
This document outlines the steps to set up and run retroactive pay by element in payroll, including creating a salary element, retro element, event group, and assignment set for retropay. It describes running payroll for two months, making a salary change, then running a retropay calculation from January to March 2000 to see the adjusted payroll results for March.
This document provides information about Oracle Corporation and its warehouse management system (WMS) offerings. It summarizes Oracle's business, key acquisitions, customers, strengths, and compares its WMS solutions to competitors like SAP, JDA Software, Manhattan Associates, and others. The summary highlights that Oracle has a strong global reach with over 40% of its WMS deployed outside of North America, broad industry coverage, a large employee and partner network, and an aggressive cloud strategy including the LogFire acquisition.
This document discusses Oracle's Transaction Account Builder (TAB) which is used to derive accounting flexfields for subledger transactions in Oracle Fusion Applications. TAB replaces prior account generator solutions and provides a more flexible and configurable way to default transaction accounts. The key building blocks of TAB include Transaction Account Definitions, Transaction Account Types, Account Rules, Mapping Sets, and Sources. Seeded TAB setup and custom TAB setup options are also described.
The document discusses the relational database model. It begins by defining key terms like data, information, database, and DBMS. It then explains the relational model proposed by E.F. Codd, showing an example student database. Codd's rules for relational databases are listed. Types of database anomalies and keys like super keys, candidate keys, and foreign keys are also defined. The advantages of relational databases include structural independence and conceptual simplicity. Disadvantages include increased hardware needs and the potential for poor database design.
El documento propone una metodología llamada "Agile BI Governance" para reducir el índice de fracaso de los proyectos de Business Intelligence. Esta metodología se basa en los valores y principios del enfoque ágil, y promueve la madurez conjunta de los sistemas de BI y la organización a través de la eliminación de la brecha entre TI y el negocio. El documento describe los elementos clave de esta metodología como los valores, órganos de gobierno, áreas de decisión y mecanismos de gobierno.
The document provides an introduction to database management systems (DBMS). It can be summarized as follows:
1. A DBMS allows for the storage and retrieval of large amounts of related data in an organized manner. It removes data redundancy and allows for fast retrieval of data.
2. Key components of a DBMS include the database engine, data definition subsystem, data manipulation subsystem, application generation subsystem, and data administration subsystem.
3. A DBMS uses a data model to represent the organization of data in a database. Common data models include the entity-relationship model, object-oriented model, and relational model.
A database is a persistent, organized collection of data stored on a secondary storage medium like a hard disk. Traditionally, companies stored data in separate files leading to data duplication and inconsistency when changes were made. A database management system (DBMS) provides a solution by allowing centralized control over the database through separation of data and an interface. A DBMS manages access, prevents duplication and inconsistency, and enables the creation of relational databases and querying of data through forms, queries, and reports.
The document provides an overview of unit 2.4 which introduces students to basic concepts in bioinformatics and databases. The objectives are to understand relational databases, major online biological databases, and how to extract data from databases. It also discusses challenges with large genomic data sets and how bioinformatics can help make sense of such data through databases, algorithms, and computational approaches.
traffic sign detection using deep learning.pptxbrijeshbs2
This document discusses methods for traffic sign detection and classification using neural networks. It describes gathering and labeling a large dataset of street images containing various traffic signs and objects. A YOLO algorithm is used to detect regions of interest within images for classification by an R-CNN neural network. Results are evaluated based on accuracy and types of failures, such as false positives. Future work involves improving the dataset size and quality to increase detection accuracy.
This document introduces Open Refine, an open source tool for cleaning and profiling messy data. It discusses how data from various sources can be inconsistent and inaccurate, and how Open Refine allows users to visualize their data, manipulate it to correct errors, and learn about the nature of the data. The basics of Open Refine involve using its interface and built-in transformations as well as custom functions like GREL and regular expressions to clean and restructure data.
The document discusses the rise of NoSQL databases. It notes that NoSQL databases are designed to run on clusters of commodity hardware, making them better suited than relational databases for large-scale data and web-scale applications. The document also discusses some of the limitations of relational databases, including the impedance mismatch between relational and in-memory data structures and their inability to easily scale across clusters. This has led many large websites and organizations handling big data to adopt NoSQL databases that are more performant and scalable.
Relational databases store data in tables with rows and columns, enforcing strict relationships between data points. NoSQL databases use various models like documents, key-value pairs, or graphs, providing a more flexible structure for diverse data types.
History of database processing module 1 (2)chottu89
The document discusses the history and evolution of database management systems from the 1960s to present. It covers early stages like organizational databases in the 1960s, the introduction of the relational model in the 1970s, object-oriented databases in the 1980s, client-server applications in the 1990s, and internet-based databases in the 2000s. It also describes some common database components, models, and relationships.
A presentation discussing how to deploy Big data solutions. The difference between structured reporting systems which feed business processes and the data science systems which do cool stuff
This document discusses Microsoft Access and database management systems. It describes what a database and DBMS are, provides examples of common database applications, and lists some key functions of a DBMS like concurrency, security, and backup/recovery. It then introduces Microsoft Access as a relational database management system (RDBMS) that stores information in tables. The document outlines the main tasks in MS Access like organizing, entering, modifying, and presenting data. It also defines the various data types that can be used in an MS Access database like text, number, date/time, and yes/no fields. Finally, it lists the main components of an MS Access database as tables, queries, forms, and reports.
Relational databases have pretty much ruled over the IT world for the last 30 years. However, Web 2.0 and the incipient Internet of Things (IoT) are some of the sources of a data explosion that has proved to exceed the limits of what modern relational databases can handle in a growing number of cases. As a result, new technologies had to be developed to handle these new use cases. We generally group these technologies under the umbrella of Big Data. In this two part presentation, we will start by understanding how relational databases have evolved to become the powerhouses they are today. In part 2 we will look at how non SQL databases are tackling the big data problem to scale beyond what relational databases can provide us today.
Databases let you store lots of information for easy access on a site. Web development courses will often teach how to save content to databases using web forms.
Lec20.pptx introduction to data bases and information systemssamiullahamjad06
The document provides an overview of databases and information systems. It defines what a database is, how data is organized in a hierarchy from bits to files, and the different types of database models including hierarchical, network, and relational. It also discusses how structured query language and query by example are used to retrieve data in relational databases. Finally, it outlines different types of computer-based information systems used in organizations like transaction processing systems, management information systems, and decision support systems.
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReadersRakuten Group, Inc.
This document discusses Kobo's use of big data analytics for ebooks and ereaders. It describes how Kobo uses technologies like Hadoop, Storm, and Solix to process, store, and analyze streaming data from ebooks. Kobo's big data team analyzes this data to power search and recommendations functions, perform content analysis tasks like related items and adult content filtering, and extract metadata from books to link to online information. Kobo's optimization of webpage layouts also utilizes big data approaches to test configurations and maximize user engagement.
This document provides an overview of data warehousing and related concepts. It defines a data warehouse as a centralized database for analysis and reporting that stores current and historical data from multiple sources. The document describes key elements of data warehousing including Extract-Transform-Load (ETL) processes, multidimensional data models, online analytical processing (OLAP), and data marts. It also outlines advantages such as enhanced access and consistency, and disadvantages like time required for data extraction and loading.
This document provides an overview of database management systems and the relational database model. It defines what data is, discusses the limitations of traditional file-based data storage, and describes how databases address these issues. The key aspects covered include the four main types of database management system approaches - hierarchical, network, relational, and object-oriented. Relational databases are identified as the preferred approach, with tables containing records made up of fields and attributes being the primary components.
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017AWS Chicago
"Strategies for supporting near real time analytics, OLAP, and interactive data exploration" - Dr. Jeremy Engle, Engineering Manager Data Team at Jellyvision
The document discusses fundamental database concepts including transactions. A transaction is defined as an indivisible unit of data processing that must satisfy the ACID properties - Atomicity, Consistency, Isolation, and Durability. Atomicity means all changes in a transaction are committed, or if any part fails, then the entire transaction fails. Consistency requires transactions leave the database in a valid state without violating constraints. Isolation ensures concurrent transactions do not interfere with each other. Durability makes committed transaction changes persistent and not lost even in the event of failures.
Similar to Comparative Analysis of Database Systems (20)
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
2. COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• TO DISCUSS THE LEGACY OF DATABASE, FIRST LEARN THE CONCEPT OF
DATABASE THAT WHAT IS DATABASE?
• ` WHY WE USE IT?
• WHAT IS THE ADVANTAGE OF USING IT?
3. COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• SO THE DATABASE IS JUST LIKE YOUR DIARY WHERE YOU CAN TYPE YOUR DATA,
SAVE YOUR DATA, ARRANGE IT AND WHENEVER YOU NEED IT YOU CAN GET ANY
KIND OF INFORMATION (STORED IN THE DOCUMENT) INFORMATION FROM IT.
FOR EXAMPLE:
YOUR MOBILE PHONE ARE ALSO JUST LIKE A DATABASE.
4. COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• NOW UNDERSTAND WHY WE USE IT?
• WHAT ARE THE REASONS BEHIND IT THAT WE USE IT?
• WE USE THE DATABASE BECAUSE IT IS THE WAY TO SAVE, UPDATE AND RETRIEVE
THE DATA AUTOMATICALLY.
• AS THE WORLD IS NOW BECOME GLOBAL VILLAGE THEREFORE USE OF DATABASE
IS VERY COMMON.
5. ADVANTAGES:
FOLLOWING ARE THE ADVANTAGES OF USING DATABASE:
• IT IS THE EASIEST WAY OF STORING DATA.
• THE DATA CAN BE USE FURTHER IN FUTURE.
• IT SAVES THE TIME.
6. DATABASE TYPES:
THERE ARE THREE TYPES OF DATABASE SYSTEMS:
• FLAT FILES DATABASE
• HIERARCHY DATABASE
• NETWORK DATABASE
7. FLAT FILES DATABASE:
• IN THIS TYPE OF DATABASE, DATA IS STORED IN THE FORM OF HORIZONTAL
ROWS.
• THE HORIZONTAL RECORDS SHOW A RECORD.
• EACH RECORD HAS A SPECIFIC DATA.
• THIS TYPE OF DATABASE IS GENERALLY USED IN GROCERY STORES.
• THE DISADVANTAGE OF USING THIS TYPE OF DATABASE IS THAT IN WHICH THE
DATA IS STORED WITH THE SAME AND WHEN YOU RETRIEVE THE INFORMATION,
IT IS DIFFICULT FOR COMPUTER TO FIND OUT THE EXACT DATA AND THERE IS A
POSSIBILITY THAT A ERROR MAY OCCUR.
8. FLAT FILES DATABASE:
• LET’S CONSIDER AN EXAMPLE:
IT IS THE DATA OF A GROCERY STORE. IN THIS DATABASE IT INCLUDES A NAME,
PRODUCT, QUANTITY, PRICE AND THE TOTAL OF EACH CUSTOMER.
• THIS DATABASE CAN ALSO BE CREATED IN MS-EXCEL.
Name Product Quantity Price Total Bill
ABC Fan 2 150 150*2=300
XYZ Pen 5 10 10*5=50
MNO Rubber 10 5 5*10=50
9. HIERARCHY DATABASE:
• DUE THE DISADVANTAGES OF THE FLAT FILE DATABASE SYSTEMS, HIERARCHY
DATABASE SYSTEM IS USED.
• IN THIS TYPE OF DATABASE SYSTEMS, THE DATA IS STORED IN THE
ORGANIZATIONAL TREE.
• IT IS INTRODUCED IN 1968.
• IN THIS TYPE OF RELATIONSHIP, THERE IS ONLY ONE PARENT AND THE PARENT HAVE
MORE THAN ONE CHILD.
• THERE ARE MANY CHILDREN OF ONLY PARENT.
• THE HIERARCHICAL DATABASES HANDLE ONE-TO-MANY RELATIONSHIP VERY WELL.
10. HIERARCHY DATABASE:
• CONSIDER THE PREVIOUS EXAMPLE OF A GROCERY STORE THAT HOW IT WORKS
ON A HIERARCHY DATABASE SYSTEMS. IN THIS SYSTEM THE DATA IS RETRIEVED
THROUGH THE FOLLOWING FORMAT:
12. NETWORK DATABASES:
• THE PROBLEM IN THE HIERARCHICAL DATABASE MODEL IS REMOVED IN THIS
MODEL.
• IT WAS PUBLISHED IN 1971 BY A PROGRAMMING LANGUAGE COBOL.
• IT WORKS SAME TO A HIERARCHICAL DATABASE SYSTEMS.
• IT WORKS ON MANY TO MANY RELATIONSHIPS, INSTEAD OF ONE TO MANY
RELATIONSHIPS IN THE HIERARCHY DATABASE SYSTEM.
• IN ONE TO MANY RELATIONSHIPS, THERE MUST BE A PARENT OF EACH CHILD.
• BUT IN MANY TO MANY RELATIONSHIPS, THERE ARE MANY CHILDREN OF A
PARENT AND MANY PARENT OF EACH CHILD.
13. NETWORK DATABASES:
• IT ALSO HAVE A SAME FORMAT TO A HIERARCHICAL DATABASE SYSTEM.
• BUT IN THIS THE BRANCHES OF THE TREE ARE SHARED.
• TO RETRIEVE ANY INFORMATION ANY INFORMATION OF THE CUSTOMER AND
THE PRODUCT START WITH THE SAME TO A ORDER HEADER.
• THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK
DATABASE SYSTEM. BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM,
CREATION OF DATA STRUCTURE IS MUST AND THEN IT WILL CREATE AN
OUTPUT. PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF
TIME TO WRITE.
15. NETWORK DATABASES:
• THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK
DATABASE SYSTEM.
• BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM, CREATION OF DATA
STRUCTURE IS MUST AND THEN IT WILL CREATE AN OUTPUT.
• PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF TIME TO
WRITE.