This document provides an agenda and overview for a training on Microstrategy, a business intelligence tool. The agenda includes sessions on Microstrategy's organic architecture, metadata unified model, and hands-on experience with Microstrategy projects, OLAP, and visual insight. The document also discusses Microstrategy's architecture, modules, and development tools. It explains how Microstrategy provides interactive reporting, analysis, dashboards, alerting and other functions through a unified platform that accesses various data sources.
Microstrategy is a business intelligence software that allows reporting and analysis of data stored in relational databases, multidimensional databases, or flat files. It includes various components like the Intelligence Server for report serving, the Web Universal interface for interactive reports in a web browser, and the Narrowcast Server for automated delivery of business information to users. Microstrategy uses technologies like Java/J2EE and supports features such as real-time dashboards, detailed reports, and data analysis.
This webinar we will focus on products of Tableau, it’s data preparation and analytics capabilities and evaluate its features with that of other leading BI tools.
The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
This presenation explains basics of ETL (Extract-Transform-Load) concept in relation to such data solutions as data warehousing, data migration, or data integration. CloverETL is presented closely as an example of enterprise ETL tool. It also covers typical phases of data integration projects.
This document provides an agenda and overview for a training on Microstrategy, a business intelligence tool. The agenda includes sessions on Microstrategy's organic architecture, metadata unified model, and hands-on experience with Microstrategy projects, OLAP, and visual insight. The document also discusses Microstrategy's architecture, modules, and development tools. It explains how Microstrategy provides interactive reporting, analysis, dashboards, alerting and other functions through a unified platform that accesses various data sources.
Microstrategy is a business intelligence software that allows reporting and analysis of data stored in relational databases, multidimensional databases, or flat files. It includes various components like the Intelligence Server for report serving, the Web Universal interface for interactive reports in a web browser, and the Narrowcast Server for automated delivery of business information to users. Microstrategy uses technologies like Java/J2EE and supports features such as real-time dashboards, detailed reports, and data analysis.
This webinar we will focus on products of Tableau, it’s data preparation and analytics capabilities and evaluate its features with that of other leading BI tools.
The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
This presenation explains basics of ETL (Extract-Transform-Load) concept in relation to such data solutions as data warehousing, data migration, or data integration. CloverETL is presented closely as an example of enterprise ETL tool. It also covers typical phases of data integration projects.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
User Case of Migration from MicroStrategy to Power BIGreenM
На Data Monsters Руслан Золотухин, Power BI Trainer & Consultant, описал юзкейсы при переносе отчетов из MicroStrategy в Power BI, рассказал о миграционной стратегии и функциях MicroStrategy, которые пугают всех BI девелоперов.
SharePoint Online vs. On-Premise document compares Microsoft SharePoint Online to an on-premise SharePoint implementation. Some key differences include SharePoint Online having higher security but more limited customization options compared to on-premise which has more robust features but requires managing security. Migrating to SharePoint Online can provide cost savings on licensing and infrastructure but requires planning to address limitations in areas like search and administration interfaces. The document provides considerations for law firms evaluating moving to SharePoint Online.
Webinar: How Banks Manage Reference Data with MongoDBMongoDB
1. MongoDB is well-suited for reference data solutions due to its dynamic and flexible schema, built-in replication and high availability features, and tag aware sharding which allows for geographic distribution of data.
2. A case study of a global broker dealer showed how MongoDB could replace expensive and complex ETL processes for distributing reference data, saving over $40 million over 5 years.
3. Key benefits included real-time data distribution, faster querying of local data, and avoiding regulatory penalties from delays in data distribution.
The document discusses Snowflake, a cloud data warehouse that is built for the cloud, multi-tenant, and highly scalable. It uses a shared-data, multi-cluster architecture where compute resources can be scaled independently from storage. Data is stored immutably in micro-partitions across an object store. Virtual warehouses provide isolated compute resources that can access all the data.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Power BI is a business analytics service that allows users to analyze data and share insights. It includes dashboards, reports, and datasets that can be viewed on mobile devices. Power BI integrates with various data sources and platforms like SQL Server, Azure, and Office 365. It provides self-service business intelligence capabilities for end users to explore and visualize data without assistance from IT departments.
Software Analytics: Data Analytics for Software EngineeringTao Xie
This document summarizes a presentation on software analytics and its achievements and opportunities. It begins by noting how both how software and how it is built and operated are changing, with data becoming more pervasive and development more distributed. It then defines software analytics as enabling analysis of software data to obtain insights and make informed decisions. It outlines research topics covering different areas of the software domain throughout the development cycle. It describes target audiences of software practitioners and outputs of insightful and actionable information. Selected projects demonstrating software analytics are then summarized, including StackMine for performance debugging at scale, XIAO for scalable code clone analysis, and others.
Introduction To Microsoft SharePoint 2013Vishal Pawar
Microsoft SharePoint is a Web application platform developed by Microsoft. First launched in 2001, SharePoint has historically been associated with intranet content management and document management, but recent versions have significantly broader capabilities
This powerpoint slide deck is the presentation given at the Microsoft center in Waltham, MA titled Leading Practices and Insights for Managing Data Integration Initiatives.
Topics covered include:
Key Drivers
Approaches and Strategy
Tools and Products
Useful Case Studies
Success Factors
This document provides an overview of data warehousing concepts including:
- Data warehouses store historical data from operational systems for analysis and reporting. The data passes through a staging area and operational data store for cleaning before loading into the data warehouse.
- Common data warehouse architectures include star schemas with fact and dimension tables and snowflake schemas with normalized dimensions. Data marts contain summarized data for specific business questions.
- ETL processes extract, transform, and load the data in three phases. Transformation cleans and prepares the data before loading into dimensional schemas.
- Data warehouses typically contain historical data, derived data generated from existing data, and metadata describing the data and schemas.
The slide deck from data and analytics workshop for HR professionals. Presented in @hrtechgroup event in Microsoft Vancouver. The workshop was built around the HR sample partner data set
https://docs.microsoft.com/en-us/power-bi/sample-human-resources
Session découverte de la Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/38mIuTp
Denodo vous propose une session virtuelle pour découvrir la Data Virtualization. Quel que soit votre rôle, responsable IT, architecte, data scientist, analyste ou CDO, vous découvrirez comment Denodo Platform, la plateforme leader en data intégration, data management et livraison de données en temps réel permet d'accéder à tout type de source de données pour en tirer de la valeur.
Microsoft Dynamics 365 for Marketing: connecting marketing & salesJuan Fabian
This document provides an overview of Microsoft Dynamics 365 for Marketing, which helps businesses connect marketing and sales. It discusses challenges businesses face with lead nurturing, visibility into sales, and lead quality. Dynamics 365 for Marketing addresses these challenges through features like multi-channel campaigns, lead nurturing, event management, and dashboards to align sales and marketing and make smarter decisions. The document outlines the pricing and features of Dynamics 365 for Marketing and previews upcoming intelligence, personalization, connectivity, and extensibility enhancements. It encourages the reader to try the application and provides resources for additional information.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The document discusses data warehouses and their characteristics. A data warehouse integrates data from multiple sources and transforms it into a multidimensional structure to support decision making. It has a complex architecture including source systems, a staging area, operational data stores, and the data warehouse. A data warehouse also has a complex lifecycle as business rules change and new data requirements emerge over time, requiring the architecture to evolve.
This document provides a template for an architecture document that includes:
1. An introduction section describing the purpose, scope, definitions, and references.
2. A business architecture section describing the business context, processes, events, and impacts.
3. A functional architecture section describing the functional composition, most significant functions/use cases, and functional communication/interactions.
4. Additional sections for application architecture, software architecture requirements, technical architecture, deployment architecture, development strategy, data migration strategy, deployment strategy, configuration and version management strategy, security and conformance constraints, risks, and appendices.
This document provides an overview and demonstration of the MicroStrategy Reporting Suite tool for data visualization and analytics. It discusses key features of the tool such as the design environment, centralized metadata builder, web interface, analytic engine, and security features. It then demonstrates creating a sample retail store project with dimensions such as customer, time, and products, and facts such as sales, costs and inventory levels. Finally, it outlines the steps to create reports with the tool, including connecting to a data source, designing objects and hierarchies, and building reports with attributes, metrics, graphs and prompts.
There are four categories of business dashboards that provide different benefits:
1. Traditional performance summary dashboards present summary information and alerts in tables and graphs.
2. Traditional metrics dashboards display metrics and compare actual to goals to track progress toward goals.
3. Dynamic content dashboards allow interactive analysis and embed workflows to assist decision making.
4. Dynamic visualization dashboards display more data using advanced visualizations to improve decision making.
Effective dashboards mirror the user's workflow, allow drilling into data, and can be shared and used offline.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
User Case of Migration from MicroStrategy to Power BIGreenM
На Data Monsters Руслан Золотухин, Power BI Trainer & Consultant, описал юзкейсы при переносе отчетов из MicroStrategy в Power BI, рассказал о миграционной стратегии и функциях MicroStrategy, которые пугают всех BI девелоперов.
SharePoint Online vs. On-Premise document compares Microsoft SharePoint Online to an on-premise SharePoint implementation. Some key differences include SharePoint Online having higher security but more limited customization options compared to on-premise which has more robust features but requires managing security. Migrating to SharePoint Online can provide cost savings on licensing and infrastructure but requires planning to address limitations in areas like search and administration interfaces. The document provides considerations for law firms evaluating moving to SharePoint Online.
Webinar: How Banks Manage Reference Data with MongoDBMongoDB
1. MongoDB is well-suited for reference data solutions due to its dynamic and flexible schema, built-in replication and high availability features, and tag aware sharding which allows for geographic distribution of data.
2. A case study of a global broker dealer showed how MongoDB could replace expensive and complex ETL processes for distributing reference data, saving over $40 million over 5 years.
3. Key benefits included real-time data distribution, faster querying of local data, and avoiding regulatory penalties from delays in data distribution.
The document discusses Snowflake, a cloud data warehouse that is built for the cloud, multi-tenant, and highly scalable. It uses a shared-data, multi-cluster architecture where compute resources can be scaled independently from storage. Data is stored immutably in micro-partitions across an object store. Virtual warehouses provide isolated compute resources that can access all the data.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Power BI is a business analytics service that allows users to analyze data and share insights. It includes dashboards, reports, and datasets that can be viewed on mobile devices. Power BI integrates with various data sources and platforms like SQL Server, Azure, and Office 365. It provides self-service business intelligence capabilities for end users to explore and visualize data without assistance from IT departments.
Software Analytics: Data Analytics for Software EngineeringTao Xie
This document summarizes a presentation on software analytics and its achievements and opportunities. It begins by noting how both how software and how it is built and operated are changing, with data becoming more pervasive and development more distributed. It then defines software analytics as enabling analysis of software data to obtain insights and make informed decisions. It outlines research topics covering different areas of the software domain throughout the development cycle. It describes target audiences of software practitioners and outputs of insightful and actionable information. Selected projects demonstrating software analytics are then summarized, including StackMine for performance debugging at scale, XIAO for scalable code clone analysis, and others.
Introduction To Microsoft SharePoint 2013Vishal Pawar
Microsoft SharePoint is a Web application platform developed by Microsoft. First launched in 2001, SharePoint has historically been associated with intranet content management and document management, but recent versions have significantly broader capabilities
This powerpoint slide deck is the presentation given at the Microsoft center in Waltham, MA titled Leading Practices and Insights for Managing Data Integration Initiatives.
Topics covered include:
Key Drivers
Approaches and Strategy
Tools and Products
Useful Case Studies
Success Factors
This document provides an overview of data warehousing concepts including:
- Data warehouses store historical data from operational systems for analysis and reporting. The data passes through a staging area and operational data store for cleaning before loading into the data warehouse.
- Common data warehouse architectures include star schemas with fact and dimension tables and snowflake schemas with normalized dimensions. Data marts contain summarized data for specific business questions.
- ETL processes extract, transform, and load the data in three phases. Transformation cleans and prepares the data before loading into dimensional schemas.
- Data warehouses typically contain historical data, derived data generated from existing data, and metadata describing the data and schemas.
The slide deck from data and analytics workshop for HR professionals. Presented in @hrtechgroup event in Microsoft Vancouver. The workshop was built around the HR sample partner data set
https://docs.microsoft.com/en-us/power-bi/sample-human-resources
Session découverte de la Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/38mIuTp
Denodo vous propose une session virtuelle pour découvrir la Data Virtualization. Quel que soit votre rôle, responsable IT, architecte, data scientist, analyste ou CDO, vous découvrirez comment Denodo Platform, la plateforme leader en data intégration, data management et livraison de données en temps réel permet d'accéder à tout type de source de données pour en tirer de la valeur.
Microsoft Dynamics 365 for Marketing: connecting marketing & salesJuan Fabian
This document provides an overview of Microsoft Dynamics 365 for Marketing, which helps businesses connect marketing and sales. It discusses challenges businesses face with lead nurturing, visibility into sales, and lead quality. Dynamics 365 for Marketing addresses these challenges through features like multi-channel campaigns, lead nurturing, event management, and dashboards to align sales and marketing and make smarter decisions. The document outlines the pricing and features of Dynamics 365 for Marketing and previews upcoming intelligence, personalization, connectivity, and extensibility enhancements. It encourages the reader to try the application and provides resources for additional information.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The document discusses data warehouses and their characteristics. A data warehouse integrates data from multiple sources and transforms it into a multidimensional structure to support decision making. It has a complex architecture including source systems, a staging area, operational data stores, and the data warehouse. A data warehouse also has a complex lifecycle as business rules change and new data requirements emerge over time, requiring the architecture to evolve.
This document provides a template for an architecture document that includes:
1. An introduction section describing the purpose, scope, definitions, and references.
2. A business architecture section describing the business context, processes, events, and impacts.
3. A functional architecture section describing the functional composition, most significant functions/use cases, and functional communication/interactions.
4. Additional sections for application architecture, software architecture requirements, technical architecture, deployment architecture, development strategy, data migration strategy, deployment strategy, configuration and version management strategy, security and conformance constraints, risks, and appendices.
This document provides an overview and demonstration of the MicroStrategy Reporting Suite tool for data visualization and analytics. It discusses key features of the tool such as the design environment, centralized metadata builder, web interface, analytic engine, and security features. It then demonstrates creating a sample retail store project with dimensions such as customer, time, and products, and facts such as sales, costs and inventory levels. Finally, it outlines the steps to create reports with the tool, including connecting to a data source, designing objects and hierarchies, and building reports with attributes, metrics, graphs and prompts.
There are four categories of business dashboards that provide different benefits:
1. Traditional performance summary dashboards present summary information and alerts in tables and graphs.
2. Traditional metrics dashboards display metrics and compare actual to goals to track progress toward goals.
3. Dynamic content dashboards allow interactive analysis and embed workflows to assist decision making.
4. Dynamic visualization dashboards display more data using advanced visualizations to improve decision making.
Effective dashboards mirror the user's workflow, allow drilling into data, and can be shared and used offline.
This document provides an overview of MicroStrategy, a business intelligence platform that allows organizations to analyze large datasets and create visualizations across devices. It discusses MicroStrategy's desktop, mobile, and web interfaces that enable report design and consumption. Key benefits of MicroStrategy include support for various data sources, in-memory analytics for performance, and reusable metadata. Large companies like Adobe, Netflix, eBay, and Wells Fargo are highlighted as MicroStrategy customers who praise its scalability, query performance, and ability to adapt to business needs.
MicroStrategy 9 vs SAP BusinessObjects 4.1BiBoard.Org
A whitepaper from MicroStrategy Inc. comparing MicroStrategy 9.4.1 and SAP BusinessObjects 4.1. Source: https://www.microstrategy.com/us/company/white-papers
Eyecademy's top 15 new features list for microstratevy version 10Eyecademy
Version 10 of Microstrategy includes several new features to improve the user experience. It allows users to be warned of impending session timeouts, recover reports after logout, and apply dynamic date filters excluding weekends. Additional data sources can now be imported and a new data wrangling feature allows cleaning and preparing sample data. Presentation mode provides an enhanced visual display. Documents can automatically resize and custom themes can be applied. Images can be embedded in dashboards and reports for unified branding. Additional formatting options increase dashboard customization capabilities.
Your textbook package for WELF1019 comes with access to MyCommunicationLab, an online platform that provides e-book access, video clips, interactive exercises and practice tests. It also includes pre- and post-tests and a customized study plan. Registering for MyCommunicationLab requires an access code included with textbooks purchased from Unibooks, as well as a student email address from UniSA. Technical support is available via email or chat for any registration or login issues.
The document discusses a course called "Speak for Success" which aims to improve oral communication skills. It covers 6 speech lessons that address problems like enunciation, use of fillers, expression, pace, and listening skills. Each lesson defines the speech problem, provides exercises to practice, and assigns homework to reinforce learning. The exercises include using a mirror to improve enunciation, tongue twisters, identifying one's use of fillers in spontaneous speaking, and having a partner monitor improvements over time. Mastering these skills can help make a better impression on listeners and enhance professional success.
1. 31P NMR spectroscopy is an analytical technique used to identify phosphorus-containing compounds. It is conceptually similar to 1H NMR.
2. Chemical shifts in 31P NMR are reported relative to 85% phosphoric acid as the external standard. Chemical shift values depend on factors like bond angles, electronegativity of substituents, and p-bonding character.
3. Coupling constants in 31P NMR are generally larger than in 1H or 13C NMR but follow the same principles. 1J couplings of 1000 Hz are observed, and coupling decreases with increasing bonds between nuclei.
A deck looking at what Multi-channel means, the implications for the banking industry, why its important, how to get banks from zero to multichannel, and important considerations.
This test plan outlines the strategy for testing the IIT official website. It will validate major system functions against customer requirements. Key areas to be tested include adding/modifying content like news, programs, courses and profiles. High priority will be given to functionality critical for users like logging in, downloading documents and maintaining attendance. The plan details the test items, approach, risks, and responsibilities to help ensure the website meets its objectives.
Practical Use of Microsoft Project for Project ManagersSteve Gladstone
This presentation provides an overview of Microsoft Project for project planning and management. It discusses setting up a project plan by defining tasks, dates, dependencies and resources, baselining the plan, verifying the plan's viability by identifying overallocated resources, leveling if needed, executing and tracking the plan by updating progress, and comparing to the baseline to replan if required. The presentation concludes with a question and answer section and a request to submit feedback forms.
Stylus is a CSS preprocessor that aims to simplify CSS by removing syntactic sugar like brackets and semicolons, enforcing indentation, and allowing variables, mixins, and nested selectors. Nib is a library of mixins, utilities, and components for Stylus that handles vendor prefixes and provides things like clearfixes and hiding text. Together, Stylus and Nib allow for more concise and maintainable CSS code.
Ballast Water Treatment with VOS™ | N.E.I. Treatment SystemsNEI Marine
This presentation provides an overview of N.E.I. Treatment Systems, a pioneer in ballast water treatment systems. N.E.I. was the first to complete shipboard trials and receive type approval for its systems. It has also installed systems on multiple ship types. The presentation highlights N.E.I.'s Venturi Oxygen Stripping system, which uses inert gas to create a low-oxygen environment that kills aquatic organisms while preventing ballast tank corrosion. It has a global reach through partnerships and has installed 16 systems to date on various ship owners and types.
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
MetricEdge is a business intelligence tool that provides analytics and visualizations to help CIOs and IT executives make more informed decisions. It extracts, transforms and loads data from sources like Oracle and SQL Server into a data warehouse. The data is then analyzed and presented through predefined reports, dashboards, and visualizations to provide insights at different levels of granularity. MetricEdge comes pre-built with templates and data models for common ITSM modules to provide analytics on incidents, problems, changes and other IT processes. It offers a single platform for reporting and self-service analytics across different ITSM tools.
This document discusses implementing Agile methodology for business intelligence (BI) projects. It begins by addressing common misconceptions about Agile BI, noting that it does not require specific tools or methodologies and can be applied using existing technologies. The document then examines extract, transform, load (ETL) tools and how some may not be well-suited for Agile due to issues like proprietary coding and lack of integration with version control and continuous integration practices. However, ETL tools can still be used when appropriate. The document provides recommendations for setting up an Agile BI environment, including using ETL tools judiciously and mitigating issues through practices like sandboxed development environments and test data sets to enable test-driven development.
- The document contains the resume of Abdul Mohammed, an ETL developer with 8 years of experience using Informatica for data warehousing projects.
- He has expertise in requirements gathering, data extraction from various sources, transforming the data using Informatica tools, and loading the data into target databases.
- His most recent role was as an ETL/SR Informatica Lead from 2015-present where he worked on building a data warehouse for a pharmaceutical company using Informatica to extract data from Oracle and flat files.
This document provides an overview of multi-dimensional modeling techniques used to create BI InfoCubes. It discusses:
1. The goals of multi-dimensional data models which are to present information to analysts in a way that corresponds to their business understanding and to provide a structure that software can access for analysis.
2. The basic modeling steps which include understanding the business process, creating an entity relationship model, translating this to a multi-dimensional model/star schema, and then implementing this in InfoCubes within the BI system.
3. Key concepts of multi-dimensional modeling including dimensions, facts, star schemas with dimension tables surrounding a central fact table, and granularity determined by the most atomic attributes.
Specsavers, a major eyewear and healthcare retailer, harnessed the power of a strategic collaboration between Red Hat and Pentaho, bolstered by GrayMatter's expertise, to address their intricate data challenges. They grappled with data collation and analysis, inconsistent metrics due to diverse store systems, and a laborious, manual process reliant on Excel.
The solution was rooted in Pentaho, deployed on a Red Hat Enterprise Linux OS. GrayMatter played a pivotal role, actively partnering with Pentaho. They transformed CSV data into a dynamic data warehouse using Pentaho's ETL tool, Kettle. A user-friendly interface allowed online and PDF users to access a range of dashboards and reports, enhancing analysis and report generation.
Results were impressive: consistent metrics across countries, effortless analyses for users, and a focus on strategic decision-making. Pentaho's cost-effectiveness, enterprise-ready capabilities, and GrayMatter's implementation expertise fortified Specsavers' data-driven journey, ushering in a new era of efficiency and decision-making.
The document provides a professional summary and work experience for VenkataSubbaReddy gvenkat9bi@gmail.com. It outlines over 5 years of experience in ETL development using Informatica and data warehousing. Specific skills and responsibilities mentioned include developing mappings and transformations in Informatica to load data from various sources into staging and target databases, designing logical and physical data models, working on projects in the banking and insurance domains, and developing reports in OBIEE. Details of 6 projects are also provided demonstrating experience implementing ETL processes and data warehousing solutions for clients.
The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.
The document is a curriculum vitae for Mr. Vasudeva Bhaskara, who has over 8 years of experience as a Business Intelligence Engineer. He has experience designing, developing, and supporting BI and data warehouse applications. Some of his roles include Microstrategy Architect, Developer, and Lead. He has strong skills in Microstrategy, SQL, Teradata, and ETL tools. He has worked on several projects for clients in various industries, playing roles such as gathering requirements, designing schemas, developing reports and dashboards, and providing production support.
The document discusses tips and strategies for using SAP NetWeaver Business Intelligence 7.0 as an enterprise data warehouse (EDW). It covers differences between evolutionary warehouse architecture and top-down design, compares data mart and EDW approaches, explores real-time data warehousing with SAP, examines common EDW pitfalls, and reviews successes and failures of large-scale SAP BI-EDW implementations. The presentation also explores the SAP NetWeaver BI architecture and Corporate Information Factory framework.
This application having database which is a repository of an organization’s electronically stored data. The databases are designed to facilitate analysis.
The classic Functionality of this Application focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary. To facilitate easy maintenance of records of various Recruiters (Companies), job and job seekers.
1) The document discusses how data modeling benefits business intelligence (BI) projects by documenting data requirements, enforcing business rules, and improving productivity.
2) There are multiple levels of data models, from high-level subject area models to technology-specific models, that provide increasing detail about the data infrastructure.
3) Creating data models is recommended at the start of any BI project to provide documentation, ensure business rule compliance, and enable reuse across projects.
Unifying the big data analytics stack by enabling ETL, OLAP, visualization, and collaboration via a single interface. Get an End To End implementation of The Modern Analytics Architecture.
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "PowerBI Interview Questions and Answers" tutorial will help you unravel concepts of Power BI and touch those topics that are very vital for succeeding in Power BI Interviews.
This video helps you to learn the following topics:
1. General Power BI Questions
2. DAX
3. Power Pivot
4. Power Query
5. Power Map
6. Additional Questions
Check out our Power BI Playlist: https://goo.gl/97sJv1
Presentation Material for NoSQL Indonesia "October MeetUp".
This slide talks about basic schema design and some examples in applications already on production.
ETL tools extract data from various sources, transform it for reporting and analysis, cleanse errors, and load it into a data warehouse. They save time and money compared to manual coding by automating this process. Popular open-source ETL tools include Pentaho Kettle and Talend, while Informatica is a leading commercial tool. A comparison found that Pentaho Kettle uses a graphical interface and standalone engine, has a large user community, and includes data quality features, while Talend generates code to run ETL jobs.
Presentation on Crystal Reports and Business Objects Enterprise FeaturesInfoDev
Crystal Reports XI-R2 and Business Objects XI-R2 provide report writing and business intelligence tools. Key features include report wizards for linking data from multiple databases and tables, toolbars for formatting reports, and cross-tab reports for summarizing large amounts of data in an easy-to-read table format. Business Objects XI also includes dashboards, scorecards, search capabilities, and developer tools for integrating BI content across portals, applications, and offices documents.
SQL Server 2005 Everywhere Edition Value Propositionbutest
This document provides an overview of the integration between Microsoft SQL Server 2005 reporting and analysis tools and the 2007 Microsoft Office system. It discusses how Reporting Services integrates with SharePoint Server 2007 to allow viewing and managing reports within SharePoint sites. It also covers how Analysis Services works with Excel 2007 to enable easy analysis of OLAP data through pivot tables. Finally, it summarizes the data mining add-ins for Office 2007 that provide data mining functionality within Excel and Visio.
Muthulakshmi Rajendran has over 8 years of experience in Microsoft Business Intelligence, including SQL Server Integration Services, SQL Server Reporting Services, and SQL Server Analysis Services. She has experience developing ETL strategies and creating, deploying, and scheduling SSIS packages and SSRS dashboards. She also has experience troubleshooting issues and coordinating teams to deliver quality solutions to clients like American Express and Chartis Insurance.
Similaire à MicroStrategy Design Challenges - Tips and Best Practices (20)
MicroStrategy 10.2 includes several new features to improve the user experience and analytics capabilities. Key updates include making it easier to integrate custom visualizations, adding dashboard annotation tools, improving map labels, and streamlining the installation process. The release also features enhanced reuse of document themes, replacing datasets without needing to rebuild documents, and auto-partitioning of cubes for faster processing. Customizable home screens, viewing dataset connectivity status, and new security features for Usher badges are also highlighted in the summary.
This document discusses securing business intelligence applications on Apple mobile devices using MicroStrategy Mobile. It covers three key areas:
1) Mobile device security including password policies, device configuration profiles, and application sandboxing on iOS.
2) Multi-tier architecture and transmission security including the MicroStrategy platform security and wireless network security.
3) User authorization for the BI application including access control lists, application functionality security, and data security.
The combination of security features in MicroStrategy Mobile and iOS provides enterprises with a flexible and secure solution to deploy mobile business intelligence.
Delivering scalable and high performance BI with least IT effortBiBoard.Org
This document presents an overview of the technical results of a joint-MicroStrategy and HP
performance benchmark. The tests show how MicroStrategy Business Intelligence (BI) Platform and
HP Integrity Servers provide a scalable and cost-effective solution for organizations looking to deploy
mission critical Enterprise BI applications
This document discusses reducing the total cost of ownership for enterprise business intelligence systems. It finds that staffing costs make up the majority (63%) of total ownership costs. As business intelligence applications expand over time to meet changing business needs, staffing needs and costs also increase. The document argues that the MicroStrategy platform is designed to minimize staffing costs and deliver scalable business intelligence through features like end user self-service and ease of administration. This helps control total ownership costs and increase return on investment compared to other business intelligence platforms.
Mobility won't wait for your salesforceBiBoard.Org
This document discusses the results of a survey of 500 organizations on mobile sales enablement. The survey found that many sales forces face challenges from limited mobile access to key systems and inefficient administrative work. It also found that internal sales systems are often not well-suited for mobile field activity. The document advocates for developing a mobile strategy using a platform like MicroStrategy Mobile to provide sales reps with mobile apps that allow on-the-go access to CRM, analytics, content, and collaboration tools to improve productivity and customer interactions. It provides examples of how some companies have benefited from mobile sales enablement apps.
MicroStrategy interoperability with GreenplumBiBoard.Org
This white paper explains how MicroStrategy can be configured
and used with Greenplum database in two-tier and basic threetier
architecture. This document provides a quick verification
and validation of connectivity and interoperability of
MicroStrategy with Greenplum. Source: http://www.emc.com/collateral/software/white-papers/microstrategy-interoperability-with-greenplum.pdf
Workload Management with MicroStrategy Software and IBM DB2 9.5BiBoard.Org
This paper describes the best practices for configuring MicroStrategy software to use the workload management (WLM) features of IBM DB2 9.5 for Linux®, Unix®, and Windows. Source: ftp://ftp.software.ibm.com/software/data/sw-library/db2/papers/wlm_msi_db29.5.pdf
MicroStrategy BI solution for Insurance industryBiBoard.Org
This document discusses how business intelligence solutions from MicroStrategy can help insurance companies maximize profits from policyholders. It outlines some typical problems insurance companies face, such as having few customer touchpoints after the initial sale and fragmented customer data sources. MicroStrategy's BI platform can consolidate customer data from different systems to create a single view of each customer. With insights into customer behavior trends and patterns, insurance companies can develop targeted strategies to cross-sell additional products, improve customer retention, and generate new revenue opportunities.
MicroStrategy BI Solutions for Retail IndustryBiBoard.Org
MicroStrategy provides business intelligence solutions for retail companies. It has over 20 years of experience in BI software and is the largest independent public BI vendor. MicroStrategy supports over 300 retail companies worldwide, including 8 of the top 10 global retailers. The document provides examples of how various well-known retailers like Ahold, Hallmark, GUESS, Netflix, METRO Group, Ross Stores, Whole Foods Market, and Lowe's use MicroStrategy's solutions for store operations, customer analytics, merchandising, and vendor collaboration. It also discusses how MicroStrategy helps retailers address trends in analytics, cloud, big data, and mobile technologies.
MicroStrategy 9 vs Oracle 11G BI capabilitiesBiBoard.Org
A whitepaper comparing MicroStrategy 9.4.1 and Oracle 11G BI capabilities from MicroStrategy Inc. Source: https://www.microstrategy.com/us/company/white-papers
This document provides a side-by-side comparison of the key capabilities of MicroStrategy 9 and QlikView 11 business intelligence platforms. It evaluates the two platforms on their ability to deliver business intelligence with less IT effort, support all user needs through a single platform, enable self-service analytics through intuitive interfaces, perform well at large scale, be quick to implement and easy to maintain, support interactive mobile intelligence, provide deep insights through analytics, and suit both departmental and enterprise deployments. The document argues that MicroStrategy 9 outperforms QlikView 11 on all of these capabilities due to its reusable metadata, centralized administration, scalability, and ability to support a wide range of analytics and deployment scenarios with a single platform.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Preparing Non - Technical Founders for Engaging a Tech AgencyISH Technologies
Preparing non-technical founders before engaging a tech agency is crucial for the success of their projects. It starts with clearly defining their vision and goals, conducting thorough market research, and gaining a basic understanding of relevant technologies. Setting realistic expectations and preparing a detailed project brief are essential steps. Founders should select a tech agency with a proven track record and establish clear communication channels. Additionally, addressing legal and contractual considerations and planning for post-launch support are vital to ensure a smooth and successful collaboration. This preparation empowers non-technical founders to effectively communicate their needs and work seamlessly with their chosen tech agency.Visit our site to get more details about this. Contact us today www.ishtechnologies.com.au
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
Project Management: The Role of Project Dashboards.pdfKarya Keeper
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A