A DBMS solution for maintaining and tracking alumni information. It aims to provide current MSIS students an effective way to network with alumni.
Implementation -
Front-end: Bootstrap
Back-end: PHP
Database: MySQL
Job Seeker - a database for applications being made by students on an online portal where jobs from various companies have been posted. Implemented using HTML, CSS, PHP and SQL.
Strategies for Successful Enterprise Wide Salesforce DeploymentsSalesforce.org
Alumni are ambassadors of your brand. So how do you engage them and create a lifelong relationship? Find out how Smith College has adopted Salesforce Communities to build an integrated Alumni engagement platform. Also learn how Notre Dame is increasing Alumni participation by leveraging Radian6 to track communication success and constituent sentiment.
Using Multiple Tools to Create DashboardsColby Stoever
The document discusses creating dashboards using multiple tools by pulling data from various sources into databases. It describes using SAS macros and SQL stored procedures to automate dashboard updates by storing recurring reports and datasets. Key points covered include identifying frequently requested data, designing databases for measures and grouped/summarized data, moving data into formats for tools like Tableau, and scheduling automatic updates. Security, customization for different audiences, and the purpose of dashboards for stakeholders are also addressed.
MAT 111 – Spring 2020 Name ___________________________________________
Quiz 4.1/4.2 – Rational Functions & Their Graphs
Identify any vertical and/or horizontal asymptotes. If one does not exist, write DNE.
Circle/Box final answer. Label each answer. You MUST show work to support your answer to receive
full credit (i.e. factor polynomials, identify how you determined horizontal asymptote, etc.)
1. 𝑓 𝑥 = 𝑥
3
3𝑥+2
2. 𝑔 𝑥 = 𝑥
2−4
𝑥2+2𝑥−8
3. 𝑓 𝑥 = 𝑥−3
𝑥2−16
4.. Identify any vertical or horizontal asymptotes. If one does not exist, write DNE.
Vertical Asymptote(s):
Horizontal Asymptotes(s):
Identify the interval over which the function is
Increasing, decreasing or constant.
#5 & 6 Find the domain/range, vertical/horizontal asymptotes, the x- and y-intercepts, and at least 3
additional points on the graph. If a value does not exist, label it as DNE. Graph the function. Be neat!
Label all answers. Show work when possible to receive full credit.
5. 𝑓 𝑥 = −2𝑥+9
𝑥−3
6. 𝑔 𝑥 = 𝑥+1
𝑥2−4
I PROMISE I AM COMPLETING THIS QUIZ ON MY OWN AND I WILL NOT SHARE
THE CONTENTS OF THIS QUIZ OR MY ANSWERS WITH ANYONE.
SIGN: _____________________________________________________ DATE: __________________
The Emerging Role of Data Scientists
on Software Development Teams
Miryung Kim
UCLA
Los Angeles, CA, USA
[email protected]
Thomas Zimmermann Robert DeLine Andrew Begel
Microsoft Research
Redmond, WA, USA
{tzimmer, rdeline, andrew.begel}@microsoft.com
ABSTRACT
Creating and running software produces large amounts of raw data
about the development process and the customer usage, which can
be turned into actionable insight with the help of skilled data scien-
tists. Unfortunately, data scientists with the analytical and software
engineering skills to analyze these large data sets have been hard to
come by; only recently have software companies started to develop
competencies in software-oriented data analytics. To understand
this emerging role, we interviewed data scientists across several
product groups at Microsoft. In this paper, we describe their educa-
tion and training background, their missions in software engineer-
ing contexts, and the type of problems on which they work. We
identify five distinct working styles of data scientists: (1) Insight
Providers, who work with engineers to collect the data needed to
inform decisions that managers make; (2) Modeling Specialists,
who use their machine learning expertise to build predictive mod-
els; (3) Platform Builders, who create data platforms, balancing
both engineering and data analysis concerns; (4) Polymaths, who
do all data science activities themselves; and (5) Team Leaders,
who run teams of data scientists and spread best practices. We fur-
ther describe a set of strategies that they employ to inc
Data-driven Approach to Launching your CareerViral Kadakia
500 Miles is the leading mobile platform for talented candidates to discover, evaluate and engage with high-growth tech employers. This talk was specially designed for Northwestern University students
The document describes the EDISON Data Science Framework (EDSF) which aims to establish the foundation for the data science profession. The framework includes several components: a data science competence framework, body of knowledge, model curriculum, data science professions family profiles, and an online education environment. It identifies five competence groups for data science: data analytics, data science engineering, domain expertise, data management, and scientific/business methods. The framework also defines a data science body of knowledge with knowledge areas covering these competence groups, and outlines a data science professions family with different associated roles.
Student Resource Planner Database PresentationKeyur Shah
This document describes a student resource planner database created for the Center of Health, Information and Decision System research department. The database tracks students, courses, faculty, departments, projects and payroll information. It includes conceptual, logical and physical database designs along with sample queries and use cases. Functions like adding a new student or updating faculty information are demonstrated through screenshots.
Designing and Building a Graph Database Application - Ian Robinson (Neo Techn...jaxLondonConference
Presented at JAX London
In this session we'll look at some of the design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.
Job Seeker - a database for applications being made by students on an online portal where jobs from various companies have been posted. Implemented using HTML, CSS, PHP and SQL.
Strategies for Successful Enterprise Wide Salesforce DeploymentsSalesforce.org
Alumni are ambassadors of your brand. So how do you engage them and create a lifelong relationship? Find out how Smith College has adopted Salesforce Communities to build an integrated Alumni engagement platform. Also learn how Notre Dame is increasing Alumni participation by leveraging Radian6 to track communication success and constituent sentiment.
Using Multiple Tools to Create DashboardsColby Stoever
The document discusses creating dashboards using multiple tools by pulling data from various sources into databases. It describes using SAS macros and SQL stored procedures to automate dashboard updates by storing recurring reports and datasets. Key points covered include identifying frequently requested data, designing databases for measures and grouped/summarized data, moving data into formats for tools like Tableau, and scheduling automatic updates. Security, customization for different audiences, and the purpose of dashboards for stakeholders are also addressed.
MAT 111 – Spring 2020 Name ___________________________________________
Quiz 4.1/4.2 – Rational Functions & Their Graphs
Identify any vertical and/or horizontal asymptotes. If one does not exist, write DNE.
Circle/Box final answer. Label each answer. You MUST show work to support your answer to receive
full credit (i.e. factor polynomials, identify how you determined horizontal asymptote, etc.)
1. 𝑓 𝑥 = 𝑥
3
3𝑥+2
2. 𝑔 𝑥 = 𝑥
2−4
𝑥2+2𝑥−8
3. 𝑓 𝑥 = 𝑥−3
𝑥2−16
4.. Identify any vertical or horizontal asymptotes. If one does not exist, write DNE.
Vertical Asymptote(s):
Horizontal Asymptotes(s):
Identify the interval over which the function is
Increasing, decreasing or constant.
#5 & 6 Find the domain/range, vertical/horizontal asymptotes, the x- and y-intercepts, and at least 3
additional points on the graph. If a value does not exist, label it as DNE. Graph the function. Be neat!
Label all answers. Show work when possible to receive full credit.
5. 𝑓 𝑥 = −2𝑥+9
𝑥−3
6. 𝑔 𝑥 = 𝑥+1
𝑥2−4
I PROMISE I AM COMPLETING THIS QUIZ ON MY OWN AND I WILL NOT SHARE
THE CONTENTS OF THIS QUIZ OR MY ANSWERS WITH ANYONE.
SIGN: _____________________________________________________ DATE: __________________
The Emerging Role of Data Scientists
on Software Development Teams
Miryung Kim
UCLA
Los Angeles, CA, USA
[email protected]
Thomas Zimmermann Robert DeLine Andrew Begel
Microsoft Research
Redmond, WA, USA
{tzimmer, rdeline, andrew.begel}@microsoft.com
ABSTRACT
Creating and running software produces large amounts of raw data
about the development process and the customer usage, which can
be turned into actionable insight with the help of skilled data scien-
tists. Unfortunately, data scientists with the analytical and software
engineering skills to analyze these large data sets have been hard to
come by; only recently have software companies started to develop
competencies in software-oriented data analytics. To understand
this emerging role, we interviewed data scientists across several
product groups at Microsoft. In this paper, we describe their educa-
tion and training background, their missions in software engineer-
ing contexts, and the type of problems on which they work. We
identify five distinct working styles of data scientists: (1) Insight
Providers, who work with engineers to collect the data needed to
inform decisions that managers make; (2) Modeling Specialists,
who use their machine learning expertise to build predictive mod-
els; (3) Platform Builders, who create data platforms, balancing
both engineering and data analysis concerns; (4) Polymaths, who
do all data science activities themselves; and (5) Team Leaders,
who run teams of data scientists and spread best practices. We fur-
ther describe a set of strategies that they employ to inc
Data-driven Approach to Launching your CareerViral Kadakia
500 Miles is the leading mobile platform for talented candidates to discover, evaluate and engage with high-growth tech employers. This talk was specially designed for Northwestern University students
The document describes the EDISON Data Science Framework (EDSF) which aims to establish the foundation for the data science profession. The framework includes several components: a data science competence framework, body of knowledge, model curriculum, data science professions family profiles, and an online education environment. It identifies five competence groups for data science: data analytics, data science engineering, domain expertise, data management, and scientific/business methods. The framework also defines a data science body of knowledge with knowledge areas covering these competence groups, and outlines a data science professions family with different associated roles.
Student Resource Planner Database PresentationKeyur Shah
This document describes a student resource planner database created for the Center of Health, Information and Decision System research department. The database tracks students, courses, faculty, departments, projects and payroll information. It includes conceptual, logical and physical database designs along with sample queries and use cases. Functions like adding a new student or updating faculty information are demonstrated through screenshots.
Designing and Building a Graph Database Application - Ian Robinson (Neo Techn...jaxLondonConference
Presented at JAX London
In this session we'll look at some of the design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.
SP Tech Con San Francisco 2014 - Real World Examples - Hybrid Office 365 Envi...Summit 7 Systems
From SPTechCon San Francisco 2014: In this class, you’ll see real-world examples of solving problems and finding opportunities when moving part of your workload to the cloud. You’ll be introduced to designing federated searching, cloud crawling, navigation synchronization, line-of-business integration, Active Directory Synchronization, social features, and Office 365 personal sites. This will be a live-demo class and you’ll see an example solution end to end! Takeaways from this class include an examination of when user experience matters, a look at product features that can help you bridge cloud and on-premise sites, and how organizations solved the social gap between Office 365 and on premise.
BbWorld 2013 - Learning Analytics: A Journey to Implementationekunnen
The document discusses Grand Rapids Community College's implementation of a learning analytics program. It provides background on the college and outlines their session agenda. It then defines analytics and discusses where relevant data is stored. The rest of the document outlines GRCC's strategic focus areas for analytics like student success, early alert systems, and course quality. It discusses their implementation process, future goals of building capacity and engaging faculty, and provides examples of analytics reports on topics like login tracking, course sizes, and grade comparisons.
ERP on School Management System..
This project made in jsp-servlet with MVC Pattern..
If anybody wants Source code of this project then send me mai on amitgandhi005@gmail.com.. Its Free..
If any doubts regarding this Documentation and presentation then also u can send me email....
This document discusses the strategic considerations, structures and resources, processes and systems, employer engagement, and reflections on preparing a university for higher and degree apprenticeships. It outlines establishing a strategic apprenticeships group and operational team to govern apprenticeships. It also discusses reviewing systems to meet funding agency requirements, engaging existing employer contacts, and the potential opportunities apprenticeships provide to link skills, innovation and research.
The document describes a proposed college placement management system that aims to automate the manual processes currently used. It discusses how the existing manual system is time-consuming and prone to errors. The proposed system would use a database to store and organize student and company information, and automatically match eligible students to company requirements. Key aspects like database structure, interface for different users, and use of Oracle 10g for management are covered at a high level.
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
Database adminstrator L-4 Design a Database - Lo1.pptxbirhanugirmay559
This document outlines the steps for determining database requirements, which includes identifying data, grouping related data, establishing fields for each data group, and defining relationships between data groups. It provides examples of common data groups for a training company and online bookstore. The document also discusses selecting a database model and implementation as well as setting naming conventions and standards.
University Single Constituent View Repository ( SCoRe)Hemant Verma
Constituent data is the lifeblood of the universities. A constituent can play a multiple of roles such as an applicant, student, faculty, alumni, an executive education student, a doctoral candidate, a staff, and a contractor.
In today’s socially connected, in the cloud, and the Internet of Things (IoT) equipped world, a massive amount of data is generated for the constituents. This data stored on disparate systems across the university and across the campus, or across the globe, leads to a lack of a single and holistic view of the constituents.
The Single Constituent View Repository (SCoRe) enables universities to consolidate constituent data to improve operational efficiencies, lower IT costs, expand student services, increase fundraising, and enhance overall “university-for-life” experience for the students.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
The document discusses implementing data governance and stewardship programs at universities. It provides examples of programs at Stanford University, George Washington University, and in the Flanders region of Belgium. The key aspects covered are:
- Establishing a data governance framework with roles, processes, asset definitions. and oversight council.
- Implementing data stewardship activities like data quality management, metadata development, and reference data management.
- Stanford's program established foundations for institutional research through data quality and context definitions.
- George Washington runs a centralized program managed by the IT governance office.
- The Flanders program provides research information and services across universities through consistent definitions, roles and collaborative workflows.
This document provides an overview of the organization and content of a course on data modeling and databases. It discusses the following key points:
- The course is split into instruction groups led by professors and student assistants. Assessments include weekly homework assignments and a final exam.
- The course covers topics like the relational model, functional dependencies, data modeling, and database design. It examines how to represent real-world data and relationships in a database using different modeling approaches.
- Database management systems help address issues like data redundancy, inconsistency, isolation, and integrity that can arise when directly building applications on file systems. The course focuses on data manipulation and retrieval as well as database design.
This document provides a summary of Rajendra Kumar Grahacharya's qualifications and professional experience. It outlines his educational background which includes a Master's degree in Management and a Bachelor's degree in Commerce. It then details his over 2 years of experience working with SAP HR software and 2 years of post-qualification HR experience. It provides information on two SAP HR consultant roles he held, including responsibilities related to time management, personnel administration, recruitment, and more. It also briefly outlines his previous role as an HR executive at Firstsource Solutions.
The document describes a database project to create an online course registration system for a university. It includes entities like students, instructors, departments, courses, classrooms, and relationships between them. The project aims to understand data modeling concepts and implement a fully functional database interacting with a front-end interface. Major design decisions included changing the student profile picture type to reduce storage and adding a term field to classrooms to track past semesters. Functionalities for students include registering courses, viewing schedules, and requesting graduation. Instructors can add/edit courses and view schedules.
The document describes a database project to create an online course registration system for a university. It includes entities like students, instructors, departments, courses, classrooms, and relationships between them. The project aims to understand data modeling concepts and implement a fully functional database interacting with a front-end interface. Major design decisions included changing the student profile picture type to reduce storage and adding a term field to classrooms to track past semesters. Functionalities for students include registering courses, viewing schedules, and requesting graduation, while instructors can add/edit courses and view schedules.
Website production process: Overview (2010)DeHallam
As part of an education class for ADMA students I was asked to talk through the website planning process, specifically around the production steps involved in taking a website from an idea to a physical web address.
Companies and institutions use database software to organize and integrate their data in a centralized location. A database allows different departments and users to efficiently access and share common information. Key benefits of a database approach include reducing data redundancy, avoiding inconsistencies, enabling data sharing, enforcing standards, applying security restrictions, and maintaining data integrity.
Presentation 3: How SharePoint Plays an Important Role in Secure Collaboration
Presenters:
Kamran Ziai - Project Coordinator, The University of Texas at Austin
Linda Buckley - Business Analyst, The University of Texas at Austin
Shaun Evans - Senior Systems Administrator, The University of Texas at Austin
Ollie Brown King is a customer-focused IT professional with expertise in business analysis, Oracle SQL, UNIX, SQL Server, database systems, and technical support. They have over 15 years of experience in both government and private sectors, currently working as an IT Specialist for the US Department of Agriculture. Their skills include project management, software engineering, database design, and application development.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
SP Tech Con San Francisco 2014 - Real World Examples - Hybrid Office 365 Envi...Summit 7 Systems
From SPTechCon San Francisco 2014: In this class, you’ll see real-world examples of solving problems and finding opportunities when moving part of your workload to the cloud. You’ll be introduced to designing federated searching, cloud crawling, navigation synchronization, line-of-business integration, Active Directory Synchronization, social features, and Office 365 personal sites. This will be a live-demo class and you’ll see an example solution end to end! Takeaways from this class include an examination of when user experience matters, a look at product features that can help you bridge cloud and on-premise sites, and how organizations solved the social gap between Office 365 and on premise.
BbWorld 2013 - Learning Analytics: A Journey to Implementationekunnen
The document discusses Grand Rapids Community College's implementation of a learning analytics program. It provides background on the college and outlines their session agenda. It then defines analytics and discusses where relevant data is stored. The rest of the document outlines GRCC's strategic focus areas for analytics like student success, early alert systems, and course quality. It discusses their implementation process, future goals of building capacity and engaging faculty, and provides examples of analytics reports on topics like login tracking, course sizes, and grade comparisons.
ERP on School Management System..
This project made in jsp-servlet with MVC Pattern..
If anybody wants Source code of this project then send me mai on amitgandhi005@gmail.com.. Its Free..
If any doubts regarding this Documentation and presentation then also u can send me email....
This document discusses the strategic considerations, structures and resources, processes and systems, employer engagement, and reflections on preparing a university for higher and degree apprenticeships. It outlines establishing a strategic apprenticeships group and operational team to govern apprenticeships. It also discusses reviewing systems to meet funding agency requirements, engaging existing employer contacts, and the potential opportunities apprenticeships provide to link skills, innovation and research.
The document describes a proposed college placement management system that aims to automate the manual processes currently used. It discusses how the existing manual system is time-consuming and prone to errors. The proposed system would use a database to store and organize student and company information, and automatically match eligible students to company requirements. Key aspects like database structure, interface for different users, and use of Oracle 10g for management are covered at a high level.
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
Database adminstrator L-4 Design a Database - Lo1.pptxbirhanugirmay559
This document outlines the steps for determining database requirements, which includes identifying data, grouping related data, establishing fields for each data group, and defining relationships between data groups. It provides examples of common data groups for a training company and online bookstore. The document also discusses selecting a database model and implementation as well as setting naming conventions and standards.
University Single Constituent View Repository ( SCoRe)Hemant Verma
Constituent data is the lifeblood of the universities. A constituent can play a multiple of roles such as an applicant, student, faculty, alumni, an executive education student, a doctoral candidate, a staff, and a contractor.
In today’s socially connected, in the cloud, and the Internet of Things (IoT) equipped world, a massive amount of data is generated for the constituents. This data stored on disparate systems across the university and across the campus, or across the globe, leads to a lack of a single and holistic view of the constituents.
The Single Constituent View Repository (SCoRe) enables universities to consolidate constituent data to improve operational efficiencies, lower IT costs, expand student services, increase fundraising, and enhance overall “university-for-life” experience for the students.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
The document discusses implementing data governance and stewardship programs at universities. It provides examples of programs at Stanford University, George Washington University, and in the Flanders region of Belgium. The key aspects covered are:
- Establishing a data governance framework with roles, processes, asset definitions. and oversight council.
- Implementing data stewardship activities like data quality management, metadata development, and reference data management.
- Stanford's program established foundations for institutional research through data quality and context definitions.
- George Washington runs a centralized program managed by the IT governance office.
- The Flanders program provides research information and services across universities through consistent definitions, roles and collaborative workflows.
This document provides an overview of the organization and content of a course on data modeling and databases. It discusses the following key points:
- The course is split into instruction groups led by professors and student assistants. Assessments include weekly homework assignments and a final exam.
- The course covers topics like the relational model, functional dependencies, data modeling, and database design. It examines how to represent real-world data and relationships in a database using different modeling approaches.
- Database management systems help address issues like data redundancy, inconsistency, isolation, and integrity that can arise when directly building applications on file systems. The course focuses on data manipulation and retrieval as well as database design.
This document provides a summary of Rajendra Kumar Grahacharya's qualifications and professional experience. It outlines his educational background which includes a Master's degree in Management and a Bachelor's degree in Commerce. It then details his over 2 years of experience working with SAP HR software and 2 years of post-qualification HR experience. It provides information on two SAP HR consultant roles he held, including responsibilities related to time management, personnel administration, recruitment, and more. It also briefly outlines his previous role as an HR executive at Firstsource Solutions.
The document describes a database project to create an online course registration system for a university. It includes entities like students, instructors, departments, courses, classrooms, and relationships between them. The project aims to understand data modeling concepts and implement a fully functional database interacting with a front-end interface. Major design decisions included changing the student profile picture type to reduce storage and adding a term field to classrooms to track past semesters. Functionalities for students include registering courses, viewing schedules, and requesting graduation. Instructors can add/edit courses and view schedules.
The document describes a database project to create an online course registration system for a university. It includes entities like students, instructors, departments, courses, classrooms, and relationships between them. The project aims to understand data modeling concepts and implement a fully functional database interacting with a front-end interface. Major design decisions included changing the student profile picture type to reduce storage and adding a term field to classrooms to track past semesters. Functionalities for students include registering courses, viewing schedules, and requesting graduation, while instructors can add/edit courses and view schedules.
Website production process: Overview (2010)DeHallam
As part of an education class for ADMA students I was asked to talk through the website planning process, specifically around the production steps involved in taking a website from an idea to a physical web address.
Companies and institutions use database software to organize and integrate their data in a centralized location. A database allows different departments and users to efficiently access and share common information. Key benefits of a database approach include reducing data redundancy, avoiding inconsistencies, enabling data sharing, enforcing standards, applying security restrictions, and maintaining data integrity.
Presentation 3: How SharePoint Plays an Important Role in Secure Collaboration
Presenters:
Kamran Ziai - Project Coordinator, The University of Texas at Austin
Linda Buckley - Business Analyst, The University of Texas at Austin
Shaun Evans - Senior Systems Administrator, The University of Texas at Austin
Ollie Brown King is a customer-focused IT professional with expertise in business analysis, Oracle SQL, UNIX, SQL Server, database systems, and technical support. They have over 15 years of experience in both government and private sectors, currently working as an IT Specialist for the US Department of Agriculture. Their skills include project management, software engineering, database design, and application development.
Similar to Terps MSIS - A DBMS System for Alumni (20)
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
1. Terps MSIS
Smith Information Systems Alumni Database
Date : 12/03/2018
Batch 0504 Group 13
Akshat Vaidya
Darsh Ajmera
Deep Talati
Ditika Bhanushali
Harsh Patel
2. Background
• Users : Current MSIS students and Office of Career
Services (OCS)
• Data: Includes Alumni personal information along
with their work and education history, where they
are presently working or studying, all the skills they
possess and the courses they opted for while
pursuing MSIS at Smith.
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3. Introduction
• Mission Statement
– To provide our current MSIS students with relevant alumni
contact information and their work.
• Mission Objective
– We aim to provide our users with relevant alumni
information all in one place. Users have access to insightful
metrics like number of alumni working in a particular
company, companies hiring the most alumni, etc. All this
information will be readily accessible to the users with an
easy to use interface.
6. Physical Database Design
• Hires Entity
CREATE TABLE [TerpsMSIS.Hires]
(
alumniID CHAR(7) NOT NULL,
companyID CHAR(6) NOT NULL,
workStartDate VARCHAR(7),
workEndDate VARCHAR(7),
type CHAR(10),
salary DECIMAL(10),
title VARCHAR(25),
department VARCHAR(25),
location VARCHAR(25),
CONSTRAINT pk_Hires_alumniID_companyID PRIMARY KEY (alumniID,companyID),
CONSTRAINT fk_Hires_alumniID FOREIGN KEY (alumniID)
REFERENCES [TerpsMSIS.Alumni] (alumniID)
ON DELETE NO ACTION ON UPDATE CASCADE,
CONSTRAINT fk_Hires_companyID FOREIGN KEY (companyID)
REFERENCES [TerpsMSIS.Company] (companyID)
ON DELETE NO ACTION ON UPDATE CASCADE
);
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7. Use Case - 1
• Business Transaction : Provide the details of Alumni that
are working in a Company Deloitte on a Full Time basis.
SELECT alumniFName, alumniLName, companyName, title, linkedinURL,
workStartDate, workEndDate, type
FROM [TerpsMSIS.Alumni], [TerpsMSIS.Hires], [TerpsMSIS.Company]
WHERE [TerpsMSIS.Alumni].alumniID = [TerpsMSIS.Hires].alumniID
AND [TerpsMSIS.Company].companyID = [TerpsMSIS.Hires].companyID
AND [TerpsMSIS.Company].companyName = 'Deloitte'
AND [TerpsMSIS.Hires].type = 'Full Time’;
*Company Name and Type is a user defined input
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9. Use Case - 2
• Business Transaction : Which is the most in-demand skill
in different industries?
SELECT [TerpsMSIS.Company].industry,
MAX([TerpsMSIS.Skill].skillName) AS 'Skill Name'
FROM [TerpsMSIS.Company]
INNER JOIN [TerpsMSIS.Requires]
ON [TerpsMSIS.Requires].CompanyID = [TerpsMSIS.Company].CompanyID
INNER JOIN [TerpsMSIS.Skill]
ON [TerpsMSIS.Skill].skillID = [TerpsMSIS.Requires].skillID
GROUP BY [TerpsMSIS.Company].industry
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