This MDX query retrieves labor information from the All Works cube for 2005. It shows the top 3 employees who worked the most hours for each job in 2005, along with the total labor dollar amount. The jobs are ordered by job name and employees within each job are ordered by hours worked. Formatting and error handling are implemented.
The document discusses starting a database project and provides guidance on key initial steps:
1. Explore the project scope and obtain information from stakeholders
2. Review the data to be modeled and develop a statement of work (SoW)
3. Develop an entity relationship diagram (ERD) and normalize the data model
It emphasizes the importance of understanding user needs through use cases and business rules. A use case describes how a user will interact with the system while business rules define constraints and policies. It also provides guidance on creating a data dictionary to document the database design as it is developed.
Windowing Functions - Little Rock Tech Fest 2019Dave Stokes
The document outlines Oracle's general product direction but notes that it is non-binding and subject to change. It also contains standard legal disclaimers regarding forward-looking statements and refers readers to Oracle's SEC filings for risks associated with its business and products.
New date datatypes in sql server 2008 tech republicKaing Menglieng
1) SQL Server 2008 introduces new date/time datatypes that provide greater precision and flexibility over previous versions.
2) The new datatypes include DATE, DATETIME2, TIME, and DATETIMEOFFSET to store date-only, time-only, or date+time values with time zone support.
3) These new datatypes allow for a wider range of dates, more precise time values down to 100 nanoseconds, and separation of date and time components for easier querying.
Intro to SQL by Google's Software EngineerProduct School
Intro to SQL, by Roman Polonsky, software engineer on Google's Global Tools Team.
SQL provides powerful but reasonably simple tools for data analysis and handling. This workshop will take absolute beginners through the basics of SQL. You’ll learn SQL queries needed to collect data from a database, even if it lives in different places and analyze it to find the answers you’re looking for.
Take away from this workshop the understanding of essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects.
Sap Payroll Cluster Repair Whitepaper V1.0amau2000
The document describes programs for checking and repairing defective payroll clusters in SAP systems. It provides an overview of payroll clusters and how they are used to store payroll data. It then details two programs for checking and repairing specific payroll clusters (RQ and B2), including finding defective clusters, handling exceptions, and reconstructing or creating empty clusters. The document also describes transporting individual cluster entries from a backup system as a preferred method for repair over cluster reconstruction. It concludes with specifications around the application's performance, reliability, durability, and maintaining simplicity and aesthetics.
The document discusses how to create a database and tables in SQL using DDL statements like CREATE, DROP, and ALTER. It explains that CREATE is used to define new database objects, DROP removes objects, and ALTER modifies objects. Specific examples show how to create a database called ABCCO, and tables like Persons with columns for ID, name, city. It also covers defining primary keys, foreign keys, default and null values when creating tables.
The document proposes a new data mapper operator to extend relational algebra and address one-to-many data transformations. Specifically, it 1) formally defines the data mapper operator, which allows expressing one-to-many data mappings, 2) presents an algebraic rewriting technique to optimize expressions combining mappers and filters, and 3) identifies two factors influencing optimization gains from applying the technique.
The document discusses starting a database project and provides guidance on key initial steps:
1. Explore the project scope and obtain information from stakeholders
2. Review the data to be modeled and develop a statement of work (SoW)
3. Develop an entity relationship diagram (ERD) and normalize the data model
It emphasizes the importance of understanding user needs through use cases and business rules. A use case describes how a user will interact with the system while business rules define constraints and policies. It also provides guidance on creating a data dictionary to document the database design as it is developed.
Windowing Functions - Little Rock Tech Fest 2019Dave Stokes
The document outlines Oracle's general product direction but notes that it is non-binding and subject to change. It also contains standard legal disclaimers regarding forward-looking statements and refers readers to Oracle's SEC filings for risks associated with its business and products.
New date datatypes in sql server 2008 tech republicKaing Menglieng
1) SQL Server 2008 introduces new date/time datatypes that provide greater precision and flexibility over previous versions.
2) The new datatypes include DATE, DATETIME2, TIME, and DATETIMEOFFSET to store date-only, time-only, or date+time values with time zone support.
3) These new datatypes allow for a wider range of dates, more precise time values down to 100 nanoseconds, and separation of date and time components for easier querying.
Intro to SQL by Google's Software EngineerProduct School
Intro to SQL, by Roman Polonsky, software engineer on Google's Global Tools Team.
SQL provides powerful but reasonably simple tools for data analysis and handling. This workshop will take absolute beginners through the basics of SQL. You’ll learn SQL queries needed to collect data from a database, even if it lives in different places and analyze it to find the answers you’re looking for.
Take away from this workshop the understanding of essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects.
Sap Payroll Cluster Repair Whitepaper V1.0amau2000
The document describes programs for checking and repairing defective payroll clusters in SAP systems. It provides an overview of payroll clusters and how they are used to store payroll data. It then details two programs for checking and repairing specific payroll clusters (RQ and B2), including finding defective clusters, handling exceptions, and reconstructing or creating empty clusters. The document also describes transporting individual cluster entries from a backup system as a preferred method for repair over cluster reconstruction. It concludes with specifications around the application's performance, reliability, durability, and maintaining simplicity and aesthetics.
The document discusses how to create a database and tables in SQL using DDL statements like CREATE, DROP, and ALTER. It explains that CREATE is used to define new database objects, DROP removes objects, and ALTER modifies objects. Specific examples show how to create a database called ABCCO, and tables like Persons with columns for ID, name, city. It also covers defining primary keys, foreign keys, default and null values when creating tables.
The document proposes a new data mapper operator to extend relational algebra and address one-to-many data transformations. Specifically, it 1) formally defines the data mapper operator, which allows expressing one-to-many data mappings, 2) presents an algebraic rewriting technique to optimize expressions combining mappers and filters, and 3) identifies two factors influencing optimization gains from applying the technique.
This document provides short summaries of key database management system (DBMS) concepts in response to past exam questions. It covers topics such as views, data models, keys, joins, indexes, normalization, functions, and object-oriented programming concepts as they relate to DBMS. For each topic, it briefly defines the concept and provides an example to illustrate it.
This document summarizes 6 SQL packages that will load data from Excel files into tables in an SQL Server database for a construction company. The packages will load data into tables for employees, employee rates, clients, client groupings, divisions, and a cross-reference table for client groupings. The packages use lookups and aggregations to validate data and insert new or updated rows while handling errors.
Bigtable is a distributed storage system designed by Google to manage large amounts of structured data across thousands of commodity servers. It provides a simple data model and API that allows clients to easily manage petabytes of data. Bigtable scales to large data volumes and workloads by automatically partitioning data into tablets that can be distributed across servers and dynamically rebalanced as needed.
Recipe 5 of Data Warehouse and Business Intelligence - The null values manage...Massimo Cenci
This document discusses best practices for managing NULL values in the ETL process for a data warehouse. It recommends:
1. Do not allow NULL values in the data warehouse and replace them with default values during the staging process. This avoids issues when querying or aggregating data.
2. Simplify data types and use consistent default values like '?' for text, 0 for numbers, and 99991231 for dates to replace NULLs.
3. Exceptions to the default values can be set based on business requirements and stored in configuration tables to generate dynamic SQL.
4. Create staging tables with default values set, load data from source systems while preserving the original values, then enrich the data with default values
This document provides an overview of lessons for an Access 2007 advanced database development class. The lessons will expand on skills learned in a basics class by making improvements to an existing CD Club database. Lessons include improving the database by adding a table to track CD loan history, updating relationships after changes to tables, adding data integrity checks and validation rules, editing forms and combo boxes, advanced form and report creation, importing new data, and creating queries and reports based on dynamic criteria.
The document discusses Relational Database Management Systems (RDBMS). It defines key concepts such as data, database, DBMS, RDBMS and provides examples of how data is structured in tables with rows and columns. It also summarizes common RDBMS features like SQL queries, data types, integrity constraints, functions and joins. Overall, the document provides a high-level overview of RDBMS components and functionality.
This document specifies the binary file format for Microsoft PowerPoint file versions 97 through 2007. It includes documentation of over 100 file records related to slides, presentations, images, animations, comments and other elements. The file format uses OLE 2 compound files, which allow a hierarchical system of storages and streams within a single file.
SAP BW - Creation of hierarchies (time dependant hierachy structures)Yasmin Ashraf
This document describes how to create two types of time-dependent hierarchies in SAP: time-dependent hierarchy structures and time-dependent entire hierarchies. It provides steps to create each type of hierarchy using an example of a sales representative hierarchy. For time-dependent hierarchy structures, nodes like sales offices can belong to different regions depending on time. For time-dependent entire hierarchies, the entire hierarchy structure can change over time.
Nitin\'s Business Intelligence Portfolionpatel2362
The document provides samples of work from a Business Intelligence portfolio including T-SQL queries, MDX queries, SSIS packages, SSAS cube design, SSRS reports, and Excel Services reports with KPIs. It includes descriptions and screenshots of projects completed involving data integration, analysis, and reporting for a simulated construction company using SQL Server 2005 and Microsoft BI technologies.
Eileen Sauer completed a 400-hour Business Intelligence Masters Program covering Microsoft SQL Server 2005, Integration Services, Analysis Services, Reporting Services, SharePoint Server 2007, and PerformancePoint Server. For her capstone project, she designed and built a BI solution for a construction company tracking employee, customer, job, and timesheet data. Key aspects of the project included ETL processes, an SSAS cube with MDX queries and KPIs, SSRS reports, and dashboards in SharePoint and PerformancePoint.
Eileen Sauer completed a 400-hour Business Intelligence Masters Program covering Microsoft SQL Server 2005, Integration Services, Analysis Services, Reporting Services, SharePoint Server 2007, and PerformancePoint Server. For her capstone project, she designed and built a BI solution for a construction company to track employee, customer, job, and timesheet data. Key aspects of the project included ETL processes, an SSAS cube with MDX queries and KPIs, SSRS reports, and dashboards in SharePoint and PerformancePoint.
Vincent Gaines has experience developing business intelligence solutions using Microsoft SQL Server and related technologies. His portfolio provides code samples and screenshots that demonstrate his skills in areas like data modeling, Extract Transform Load processes, online analytical processing, and reporting. He has applied these skills to projects that analyze book sales, construction company data, and student evaluations.
This document summarizes a business intelligence portfolio project for a simulated construction company. It includes details on an ETL solution built in SQL Server Integration Services to load data nightly from various sources into a SQL database. It also covers an OLAP cube with a partial snowflake structure created in SQL Server Analysis Services, including sample MDX queries and KPIs. Finally, it discusses reports deployed to SharePoint using SQL Server Reporting Services and PerformancePoint Services, including gauges, charts and dashboards. The overall goal was to build a BI solution to track, analyze and report on all aspects of the company's business using Microsoft SQL Server and SharePoint technologies.
The document outlines Colin Sobers' skills and experience with Microsoft Business Intelligence (BI) tools. It includes projects demonstrating proficiency with SQL Server, Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, and SharePoint. The projects involve relational and dimensional modeling, T-SQL and MDX queries, ETL processes, cube design, reports, dashboards, and scorecards. Colin received hands-on training through SetFocus' 400-hour BI master's program focused on the Microsoft BI stack.
The document summarizes Arthur Chan's business intelligence portfolio from his master's program. It includes samples and descriptions of projects involving extracting, transforming, and loading data with SQL Server Integration Services, modeling data with SQL Server Analysis Services, creating reports with SQL Server Reporting Services, and developing dashboards and scorecards with PerformancePoint and SharePoint. The portfolio aims to demonstrate Arthur's skills in core business intelligence technologies like SSIS, SSAS, SSRS, and Microsoft Office products for performance management and business analytics.
The document provides an overview of the skills and experience of Elmer Donavan related to business intelligence and SQL Server technologies. It includes sections summarizing his skills in SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft PerformancePoint. Sample projects are described to showcase work with SSIS, SSAS, SSRS and dashboards in SharePoint.
This portfolio showcases skills in Microsoft Business Intelligence, including SQL Server Integration Services (SSIS), Analysis Services (SSAS), and Reporting Services (SSRS). The document outlines projects involving:
1) Designing an ETL process in SSIS to load data from various sources into a SQL database.
2) Building a data warehouse cube in SSAS with dimensions, measures, and KPIs.
3) Creating SSRS reports including a sales scorecard, maps, and matrices and displaying them on a PerformancePoint dashboard in SharePoint.
This portfolio document outlines a Business Intelligence project that involves extracting data from various sources into a SQL Server database, building an Analysis Services cube with dimensions and measures to analyze company data, creating Reporting Services reports on the data, and developing PerformancePoint dashboards and Excel Services reports to visualize key metrics. The project transfers raw data into a data warehouse, performs analysis with SSAS, generates reports with SSRS, and builds dashboards with PPS and Excel Services to provide business intelligence insights. Samples and screenshots are provided of the ETL processes, cube design, MDX queries, reports, and dashboards created in the project.
This document provides a summary of the author's experience with Microsoft business intelligence tools including data modeling, ETL processes, MDX queries, KPIs, and dashboard visualizations. The author has skills in SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and Performance Point Server. Projects aim to increase revenue, boost sales, and optimize performance through business intelligence solutions.
This document provides an overview and samples from a business intelligence portfolio created by Chris Tselebis for a simulated construction company. The portfolio includes:
- T-SQL and MDX samples to query and analyze the company's SQL Server database
- SSIS packages to load and transform data from various sources into the database
- An SSAS cube with dimensions, measures, and calculated members to analyze key metrics
- Excel Services reports displaying the cube data, including KPIs and trend indicators
- SSRS reports and PerformancePoint scorecards for executives and managers
The portfolio demonstrates skills in SQL Server, SSIS, SSAS, SSRS, and SharePoint for business intelligence and analytics.
The document provides a portfolio of business intelligence projects completed as part of a master's program. It includes summaries and samples from projects involving SQL Server Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, Excel Services, and SharePoint. The portfolio demonstrates skills in extracting, transforming, and loading data, creating multidimensional cubes and MDX queries, and generating reports and dashboards using various Microsoft BI tools.
This document provides short summaries of key database management system (DBMS) concepts in response to past exam questions. It covers topics such as views, data models, keys, joins, indexes, normalization, functions, and object-oriented programming concepts as they relate to DBMS. For each topic, it briefly defines the concept and provides an example to illustrate it.
This document summarizes 6 SQL packages that will load data from Excel files into tables in an SQL Server database for a construction company. The packages will load data into tables for employees, employee rates, clients, client groupings, divisions, and a cross-reference table for client groupings. The packages use lookups and aggregations to validate data and insert new or updated rows while handling errors.
Bigtable is a distributed storage system designed by Google to manage large amounts of structured data across thousands of commodity servers. It provides a simple data model and API that allows clients to easily manage petabytes of data. Bigtable scales to large data volumes and workloads by automatically partitioning data into tablets that can be distributed across servers and dynamically rebalanced as needed.
Recipe 5 of Data Warehouse and Business Intelligence - The null values manage...Massimo Cenci
This document discusses best practices for managing NULL values in the ETL process for a data warehouse. It recommends:
1. Do not allow NULL values in the data warehouse and replace them with default values during the staging process. This avoids issues when querying or aggregating data.
2. Simplify data types and use consistent default values like '?' for text, 0 for numbers, and 99991231 for dates to replace NULLs.
3. Exceptions to the default values can be set based on business requirements and stored in configuration tables to generate dynamic SQL.
4. Create staging tables with default values set, load data from source systems while preserving the original values, then enrich the data with default values
This document provides an overview of lessons for an Access 2007 advanced database development class. The lessons will expand on skills learned in a basics class by making improvements to an existing CD Club database. Lessons include improving the database by adding a table to track CD loan history, updating relationships after changes to tables, adding data integrity checks and validation rules, editing forms and combo boxes, advanced form and report creation, importing new data, and creating queries and reports based on dynamic criteria.
The document discusses Relational Database Management Systems (RDBMS). It defines key concepts such as data, database, DBMS, RDBMS and provides examples of how data is structured in tables with rows and columns. It also summarizes common RDBMS features like SQL queries, data types, integrity constraints, functions and joins. Overall, the document provides a high-level overview of RDBMS components and functionality.
This document specifies the binary file format for Microsoft PowerPoint file versions 97 through 2007. It includes documentation of over 100 file records related to slides, presentations, images, animations, comments and other elements. The file format uses OLE 2 compound files, which allow a hierarchical system of storages and streams within a single file.
SAP BW - Creation of hierarchies (time dependant hierachy structures)Yasmin Ashraf
This document describes how to create two types of time-dependent hierarchies in SAP: time-dependent hierarchy structures and time-dependent entire hierarchies. It provides steps to create each type of hierarchy using an example of a sales representative hierarchy. For time-dependent hierarchy structures, nodes like sales offices can belong to different regions depending on time. For time-dependent entire hierarchies, the entire hierarchy structure can change over time.
Nitin\'s Business Intelligence Portfolionpatel2362
The document provides samples of work from a Business Intelligence portfolio including T-SQL queries, MDX queries, SSIS packages, SSAS cube design, SSRS reports, and Excel Services reports with KPIs. It includes descriptions and screenshots of projects completed involving data integration, analysis, and reporting for a simulated construction company using SQL Server 2005 and Microsoft BI technologies.
Eileen Sauer completed a 400-hour Business Intelligence Masters Program covering Microsoft SQL Server 2005, Integration Services, Analysis Services, Reporting Services, SharePoint Server 2007, and PerformancePoint Server. For her capstone project, she designed and built a BI solution for a construction company tracking employee, customer, job, and timesheet data. Key aspects of the project included ETL processes, an SSAS cube with MDX queries and KPIs, SSRS reports, and dashboards in SharePoint and PerformancePoint.
Eileen Sauer completed a 400-hour Business Intelligence Masters Program covering Microsoft SQL Server 2005, Integration Services, Analysis Services, Reporting Services, SharePoint Server 2007, and PerformancePoint Server. For her capstone project, she designed and built a BI solution for a construction company to track employee, customer, job, and timesheet data. Key aspects of the project included ETL processes, an SSAS cube with MDX queries and KPIs, SSRS reports, and dashboards in SharePoint and PerformancePoint.
Vincent Gaines has experience developing business intelligence solutions using Microsoft SQL Server and related technologies. His portfolio provides code samples and screenshots that demonstrate his skills in areas like data modeling, Extract Transform Load processes, online analytical processing, and reporting. He has applied these skills to projects that analyze book sales, construction company data, and student evaluations.
This document summarizes a business intelligence portfolio project for a simulated construction company. It includes details on an ETL solution built in SQL Server Integration Services to load data nightly from various sources into a SQL database. It also covers an OLAP cube with a partial snowflake structure created in SQL Server Analysis Services, including sample MDX queries and KPIs. Finally, it discusses reports deployed to SharePoint using SQL Server Reporting Services and PerformancePoint Services, including gauges, charts and dashboards. The overall goal was to build a BI solution to track, analyze and report on all aspects of the company's business using Microsoft SQL Server and SharePoint technologies.
The document outlines Colin Sobers' skills and experience with Microsoft Business Intelligence (BI) tools. It includes projects demonstrating proficiency with SQL Server, Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, and SharePoint. The projects involve relational and dimensional modeling, T-SQL and MDX queries, ETL processes, cube design, reports, dashboards, and scorecards. Colin received hands-on training through SetFocus' 400-hour BI master's program focused on the Microsoft BI stack.
The document summarizes Arthur Chan's business intelligence portfolio from his master's program. It includes samples and descriptions of projects involving extracting, transforming, and loading data with SQL Server Integration Services, modeling data with SQL Server Analysis Services, creating reports with SQL Server Reporting Services, and developing dashboards and scorecards with PerformancePoint and SharePoint. The portfolio aims to demonstrate Arthur's skills in core business intelligence technologies like SSIS, SSAS, SSRS, and Microsoft Office products for performance management and business analytics.
The document provides an overview of the skills and experience of Elmer Donavan related to business intelligence and SQL Server technologies. It includes sections summarizing his skills in SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft PerformancePoint. Sample projects are described to showcase work with SSIS, SSAS, SSRS and dashboards in SharePoint.
This portfolio showcases skills in Microsoft Business Intelligence, including SQL Server Integration Services (SSIS), Analysis Services (SSAS), and Reporting Services (SSRS). The document outlines projects involving:
1) Designing an ETL process in SSIS to load data from various sources into a SQL database.
2) Building a data warehouse cube in SSAS with dimensions, measures, and KPIs.
3) Creating SSRS reports including a sales scorecard, maps, and matrices and displaying them on a PerformancePoint dashboard in SharePoint.
This portfolio document outlines a Business Intelligence project that involves extracting data from various sources into a SQL Server database, building an Analysis Services cube with dimensions and measures to analyze company data, creating Reporting Services reports on the data, and developing PerformancePoint dashboards and Excel Services reports to visualize key metrics. The project transfers raw data into a data warehouse, performs analysis with SSAS, generates reports with SSRS, and builds dashboards with PPS and Excel Services to provide business intelligence insights. Samples and screenshots are provided of the ETL processes, cube design, MDX queries, reports, and dashboards created in the project.
This document provides a summary of the author's experience with Microsoft business intelligence tools including data modeling, ETL processes, MDX queries, KPIs, and dashboard visualizations. The author has skills in SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and Performance Point Server. Projects aim to increase revenue, boost sales, and optimize performance through business intelligence solutions.
This document provides an overview and samples from a business intelligence portfolio created by Chris Tselebis for a simulated construction company. The portfolio includes:
- T-SQL and MDX samples to query and analyze the company's SQL Server database
- SSIS packages to load and transform data from various sources into the database
- An SSAS cube with dimensions, measures, and calculated members to analyze key metrics
- Excel Services reports displaying the cube data, including KPIs and trend indicators
- SSRS reports and PerformancePoint scorecards for executives and managers
The portfolio demonstrates skills in SQL Server, SSIS, SSAS, SSRS, and SharePoint for business intelligence and analytics.
The document provides a portfolio of business intelligence projects completed as part of a master's program. It includes summaries and samples from projects involving SQL Server Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, Excel Services, and SharePoint. The portfolio demonstrates skills in extracting, transforming, and loading data, creating multidimensional cubes and MDX queries, and generating reports and dashboards using various Microsoft BI tools.
This portfolio contains examples of the author's work with Microsoft's SQL Server 2008 Business Intelligence stack. It includes projects with Transact SQL, SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, and PerformancePoint Server. The projects were completed as part of a 12-week hands-on Master's program and involved building databases, an OLAP cube, reports and dashboards using real-world business scenarios and data from various sources like Excel, XML and CSV files.
The document is a business intelligence portfolio for Chris Bull containing examples of his skills and experience in areas such as data modeling, SQL programming, SQL Server Integration Services, SQL Server Analysis Services, MDX programming, SQL Server Reporting Services, PerformancePoint Server, and SharePoint Server. It includes samples of his work developing ETL processes, cubes, reports, and other BI solutions. It also provides a summary of his 14 years of IT experience and 2 recommendations from academic references.
MSBI online training offered by Quontra Solutions with special features having Extensive Training will be in both MSBI Online Training and Placement. We help you in resume preparation and conducting Mock Interviews.
Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.
The document provides details about Kevin Bengtson's SQL portfolio, including several database projects and T-SQL queries projects with examples. It also outlines SQL server administrative tasks performed and an SSIS/SSRS project involving creating a MiniAdventureWorks database. The final section describes a BlockFlix database designed for a video rental store.
This portfolio contains examples of the author's work with Microsoft Business Intelligence tools. It includes projects and queries demonstrating skills in SQL Server, SSIS, SSAS, SSRS, Excel, PerformancePoint Services and SharePoint. It also describes the author's education through SetFocus, a hands-on BI training program focused on the Microsoft stack.
- The document provides a resume for Chandrajit Samanta including contact details, objectives, skills, experience and details of past roles. It summarizes his extensive experience with SQL Server databases, developing ETL processes in SQL Server Integration Services, data modeling, and building cubes and writing MDX queries in SQL Server Analysis Services. It details over 10 years of experience in database development, administration, and business intelligence roles for various companies.
This portfolio contains examples of work done in business intelligence technologies including SQL programming, data modeling, SSIS, SSAS, MDX, SSRS, and SharePoint/Excel Services. Three projects are summarized:
1. An SSIS project to import data from various sources into a SQL Server database for a construction company, with packages to load, validate, and maintain data.
2. An SSAS project building a cube for analyzing customer invoices, with dimensions, attributes, hierarchies, and MDX queries.
3. A final group project delivering a BI solution for an education company with a staging database, OLAP cube, reports on Excel, SSRS and a SharePoint dashboard.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
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!
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
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.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
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.