Presented at SQL Saturday 108 Redmond, WA -- This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
SQL Saturday 109 -- Enterprise Data Mining with SQL ServerMark Tabladillo
Delivered at SQL Saturday 109 Silicon Valley, CA -- This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
SQL Saturday 119 Chicago -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation covers SQL Server 2012 data mining -- mostly demo (therefore not in slides) -- an earlier version is on video at http://channel9.msdn.com/Events/TechEd/NorthAmerica/2011/DBI326
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2012 tools including SSMS, SSIS, and SSDT.
SQL Saturday 109 -- Enterprise Data Mining with SQL ServerMark Tabladillo
Delivered at SQL Saturday 109 Silicon Valley, CA -- This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
SQL Saturday 119 Chicago -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation covers SQL Server 2012 data mining -- mostly demo (therefore not in slides) -- an earlier version is on video at http://channel9.msdn.com/Events/TechEd/NorthAmerica/2011/DBI326
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2012 tools including SSMS, SSIS, and SSDT.
Are you looking to create more stability in your professional future in uncertain economic times? Developing a social media platform is a challenge for highend professionals and consultants. The presenter has established a blog (http://marktab.net), cofounded an online journal, become a paid video presenter, secured a spot at Microsoft TechEd, and earned credit toward his first Microsoft MVP. This presentation introduces the basic elements for 2013 of a successful web strategy. The presenter shares his own statistics and first-hand experiences with website development, WordPress blog hosting, leveraging social media services (including Twitter, Linked in, YouTube and Facebook), and working with Microsoft.
Secrets of Enterprise Data Mining: SQL Saturday Oregon 201411Mark Tabladillo
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT.
This presentation includes a complex business analytics solution using elements across the Microsoft Business Intelligence technology. This talk will not have all the steps spelled out. Therefore you should prepare -- for example, by looking at the SQL Server 2012 Developer Kit -- since attendees will be expected to have working knowledge of SQL Server relational database, SSIS, SSAS, SSRS, SSMS and SSDT. Key elements of this solution will highlight features new to SQL Server 2012. At the end of the demonstration, you will be expected to participate in groups to promote one idea which builds on the demo, and everyone will be voting for their favorite groups. Come ready to create and celebrate your peers.
SQL Saturday 79 Enterprise Data Mining for SQL Server 2008 R2Mark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
Why you should be mining your data and how to actually do it. Every company needs a rock star. We want it to be you. This session will give real world examples of data mining successes as well as walk you through how to get started down the path of data enlightenment, so that you too can say "I Am A Data Miner℠".
Secrets of Enterprise Data Mining: SQL Saturday 328 Birmingham ALMark Tabladillo
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT.
Presented at SQL Saturday 220, Atlanta, GA, 201305. If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2012 tools including SSMS, SSIS, and SSDT.
MSBI Interview Questions And Answers | MSBI Certification Training | EdurekaEdureka!
This Edureka "MSBI Interview Questions and Answers" PPT will help you unravel concepts of Microsoft BI and touch on topics that are the crux for succeeding in any MSBI interview. It's is a one-stop solution to grasp all your MSBI job opportunities.
Check our complete Microsoft BI playlist here: https://goo.gl/Vo6Klo
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
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MSBI Tutorials for Beginners | Business Intelligence Tutorial | Learn MSBI | ...Edureka!
This Edureka MSBI Tutorial will help you learn the basics of MSBI. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries.This tutorial will help you master MSBI concepts such as SSIS,SSAS and SSRS along with demo using SQL Server and Data Tools. Below are the topics covered in this tutorial:
1. Why Business Intelligence?
2. What is BI?
3. BI tools
4. Why Microsoft BI?
5. What is Microsoft BI?
6. Microsoft BI Architecture
7. Tools & Utilities of Microsoft BI
Developing with SQL Server Analysis Services 201310Mark Tabladillo
SQL Server Analysis Services (SSAS) allows for integrating cubes, tabular model databases, and data mining with your developed applications and services. This talk provides a developer’s framework for understanding SSAS and its core ADOMD .NET and AMO classes. These development options will be demonstrated through application demos. This session is great for developers already working with SQL Server, who want to take their development skills to the next level.
BI Team @ LinkedIn hosted a user group meeting for MicroStrategy customers in bay area. Presentation includes information about LinkedIn, concepts of metadata driven model for business dashboards, customizations using SDK, JSP and JQUERY.
Are you looking to create more stability in your professional future in uncertain economic times? Developing a social media platform is a challenge for highend professionals and consultants. The presenter has established a blog (http://marktab.net), cofounded an online journal, become a paid video presenter, secured a spot at Microsoft TechEd, and earned credit toward his first Microsoft MVP. This presentation introduces the basic elements for 2013 of a successful web strategy. The presenter shares his own statistics and first-hand experiences with website development, WordPress blog hosting, leveraging social media services (including Twitter, Linked in, YouTube and Facebook), and working with Microsoft.
Secrets of Enterprise Data Mining: SQL Saturday Oregon 201411Mark Tabladillo
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT.
This presentation includes a complex business analytics solution using elements across the Microsoft Business Intelligence technology. This talk will not have all the steps spelled out. Therefore you should prepare -- for example, by looking at the SQL Server 2012 Developer Kit -- since attendees will be expected to have working knowledge of SQL Server relational database, SSIS, SSAS, SSRS, SSMS and SSDT. Key elements of this solution will highlight features new to SQL Server 2012. At the end of the demonstration, you will be expected to participate in groups to promote one idea which builds on the demo, and everyone will be voting for their favorite groups. Come ready to create and celebrate your peers.
SQL Saturday 79 Enterprise Data Mining for SQL Server 2008 R2Mark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
Why you should be mining your data and how to actually do it. Every company needs a rock star. We want it to be you. This session will give real world examples of data mining successes as well as walk you through how to get started down the path of data enlightenment, so that you too can say "I Am A Data Miner℠".
Secrets of Enterprise Data Mining: SQL Saturday 328 Birmingham ALMark Tabladillo
If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT.
Presented at SQL Saturday 220, Atlanta, GA, 201305. If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2012 tools including SSMS, SSIS, and SSDT.
MSBI Interview Questions And Answers | MSBI Certification Training | EdurekaEdureka!
This Edureka "MSBI Interview Questions and Answers" PPT will help you unravel concepts of Microsoft BI and touch on topics that are the crux for succeeding in any MSBI interview. It's is a one-stop solution to grasp all your MSBI job opportunities.
Check our complete Microsoft BI playlist here: https://goo.gl/Vo6Klo
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
MSBI Tutorials for Beginners | Business Intelligence Tutorial | Learn MSBI | ...Edureka!
This Edureka MSBI Tutorial will help you learn the basics of MSBI. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries.This tutorial will help you master MSBI concepts such as SSIS,SSAS and SSRS along with demo using SQL Server and Data Tools. Below are the topics covered in this tutorial:
1. Why Business Intelligence?
2. What is BI?
3. BI tools
4. Why Microsoft BI?
5. What is Microsoft BI?
6. Microsoft BI Architecture
7. Tools & Utilities of Microsoft BI
Developing with SQL Server Analysis Services 201310Mark Tabladillo
SQL Server Analysis Services (SSAS) allows for integrating cubes, tabular model databases, and data mining with your developed applications and services. This talk provides a developer’s framework for understanding SSAS and its core ADOMD .NET and AMO classes. These development options will be demonstrated through application demos. This session is great for developers already working with SQL Server, who want to take their development skills to the next level.
BI Team @ LinkedIn hosted a user group meeting for MicroStrategy customers in bay area. Presentation includes information about LinkedIn, concepts of metadata driven model for business dashboards, customizations using SDK, JSP and JQUERY.
How to find low-cost or free data science resources 202006Mark Tabladillo
There are many free or low-cost resources to become better trained in data science. None of these options equals a formal degree: but short of that scope, these other resources are helpful at least for keeping up with technology. This presentation will provide specific recommendations on free or low-cost resources based on the Team Data Science Process framework (business understanding, data engineering, modeling, deployment).
This presentation covers some of the major data science and AI announcements from the May 2020 Microsoft Build conference. Included in this talk are 1) Azure Synapse Link, 2) Responsible AI, 3) Project Bonsai & Project Moab, and 4) AI Models at Scale (deep learning with billions of parameters).
Microsoft has released Automated ML technologies for developers through ML.NET, Azure ML Service, and Azure Databricks. This presenter is a data scientist and Microsoft architect, and will give a comprehensive overview of the utility and use case of this automated technology for production solutions. The presentation includes code you can try now.
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI. This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
ML.NET 1.0 release is the first major milestone of a great journey that started in May 2018 when we released ML.NET 0.1 as open source. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Recommendation, Image Classification and more.
This presentation provides an overview of the technology with demos run in a Deep Learning Virtual Machine running Windows Server 2016. Code examples are in C# and F# and run in Visual Studio Community 2019. This technology is ready for production implementation and runs on .NET Core.
This presentation is the first of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI.
This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
This presentation is the fourth of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
NimbusML enables data scientists to use ML.NET to train models in Azure Machine Learning or anywhere else they use Python. NimbusML provides state-of-the-art ML algorithms, transforms and components, aiming to make them useful for all developers, data scientists, and information workers and helpful in all products, services and devices. The components are authored by the team members, as well as numerous contributors from MSR, CISL, Bing and other teams at Microsoft. NimbusML is interoperable with scikit-learn estimators and transforms, while adding a suite of highly optimized algorithms written in C++ and C# for speed and performance.
The trained machine learning model can be used in a .NET application with ML.NET. This presentation will outline the features of NimbusML and provide a notebook-based demonstration using Azure Notebooks.
This presentation is the third of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
201906 02 Introduction to AutoML with ML.NET 1.0Mark Tabladillo
ML.NET 1.0 release is the first major milestone of a great journey that started in May 2018 when we released ML.NET 0.1 as open source. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Recommendation, Image Classification and more.
“Automated ML” is a collection of new technologies from Microsoft to enhance the data science development process. Still in preview, Auto ML for ML.NET 1.0 will be demonstrated in a Deep Learning Virtual Machine running Windows Server 2016. Code examples are in C# and run in Visual Studio Community 2019.
This presentation is the second of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
This presentation focuses on the value proposition for Azure Databricks for Data Science. First, the talk includes an overview of the merits of Azure Databricks and Spark. Second, the talk includes demos of data science on Azure Databricks. Finally, the presentation includes some ideas for data science production.
201905 Azure Certification DP-100: Designing and Implementing a Data Science ...Mark Tabladillo
Microsoft has several Azure certifications including DP-100 (Designing and Implementing a Data Science Solution on Azure). Until this month, the exam had been in beta: however, the presenter has just passed the exam (first try). The purpose of this event is to share a viewpoint on how to study for the exam. Today, there are multiple ways to develop and deliver and deploy R or Python or Spark or deep learning models on Azure. The differences are important for this exam.
Big Data Advanced Analytics on Microsoft Azure 201904Mark Tabladillo
This talk summarizes key points for big data advanced analytics on Microsoft Azure. First, there is a review of the major technologies. Second, there is a series of technology demos (focusing on VMs, Databricks and Azure ML Service). Third, there is some advice on using the Team Data Science Process to help plan projects. The deck has web resources recommended. This presentation was delivered at the Global Azure Bootcamp 2019, Atlanta GA location (Alpharetta Avalon).
This presentation anchors best practices for Enterprise Data Science based on Microsoft's "Team Data Science Process". The talk includes introducing the concepts, describing some real-world advice for project planning, and discusses typical titles of professionals who make enterprise data science successful. These techniques also apply for AI (artificial intelligence), deep learning, machine learning, and advanced analytics.
Training of Python scikit-learn models on AzureMark Tabladillo
This intermediate-level presentation covers latest Azure technology for deploying Python sci-kit models on Azure. The presentation is a demo using a Microsoft Data Science Virtual Machine (DSVM), Visual Studio Code, Azure Machine Learning Service, Azure Machine Learning Compute, Azure Storage Blobs, and Azure Container Registry to train a model from a Python 3 Anaconda environment.
The presentation will include an architectural diagram and downloadable code from Github.
YouTube recording at https://www.youtube.com/watch?v=HyzbxHBpAbg&feature=youtu.be
Big Data Adavnced Analytics on Microsoft AzureMark Tabladillo
This presentation provides a survey of the advanced analytics strengths of Microsoft Azure from an enterprise perspective (with these organizations being the bulk of big data users) based on the Team Data Science Process. The talk also covers the range of analytics and advanced analytics solutions available for developers using data science and artificial intelligence from Microsoft Azure.
Power BI has become an increasingly important data analytics tool. This presentation focuses on the advanced analytics options currently available in Power BI. Attendees to this talk will see:
· Microsoft’s perspective on advanced analytics development: the Team Data Science Process
· What the general options are for advanced analytics on Azure
· What the specific native advanced analytics capabilities are in Power BI
· Some ideas on pairing Power BI with other technologies in advanced analytics architectures
Microsoft Cognitive Toolkit (Atlanta Code Camp 2017)Mark Tabladillo
The Microsoft Cognitive Toolkit (CNTK) is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations upon their inputs.
The objectives of this presentation is to 1) describe what CNTK is, 2) present a comparative evaluation with similar technologies, 3) outline potential applications, and 4) demonstrate the technology with Jupyter Python examples.
Machine learning services with SQL Server 2017Mark Tabladillo
SQL Server 2017 introduces Machine Learning Services with two independent technologies: R and Python. The purpose of this presentation is 1) to describe major features of this technology for technology managers; 2) to outline use cases for architects; and 3) to provide demos for developers and data scientists.
Microsoft Technologies for Data Science 201612Mark Tabladillo
Delivered to SQL Saturday BI Edition -- Atlanta, GA
Microsoft provides several technologies in and around Azure which can be used for casual to serious data science. This presentation provides an overview of the major Microsoft options for both on-premise and cloud-based data science (and hybrid). These technologies have been used by the presenter in various companies and industries, both as a Microsoft consultant and previously independent consultant. As well, the speaker provides insights into data science careers, information which helps imply where the business will likely be for consultants and partners.
How Big Companies plan to use Our Big Data 201610Mark Tabladillo
Underneath the shiny popular apps on tablets, smartphones, and entertainment channels are typically large cloud-based data centers. App developers leverage the cloud to provide advertisers with targeted sales opportunities, which has been accounting for an ongoing shift from paper to online media. This presentation will provide updated trends and statistics for 2016 on big data usage (based on consumer use), statistical concerns with big data, and the Microsoft big data story.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
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Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
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SQL Saturday 108 -- Enterprise Data Mining with SQL Server
1. Enterprise Data Mining
with SQL Server
Mark Tabladillo Ph.D.
Microsoft MVP
MarkTab Consulting http://marktab.com
Blog http://marktab.net/datamining Twitter @marktabnet
SQL Saturday 108 Redmond, WA
February 25, 2012
2.
3. About Mark Tabladillo
20 Years in Atlanta, Georgia
Consulting since 1998; Incorporated 2003
Part-Time Faculty at University of Phoenix
SAS and Microsoft Expert
Presenter since 1998 at conferences like Microsoft
TechEd and SAS Global Forum
Taught statistics at undergraduate and graduate level
Blog: http://marktab.net @MarkTabNet
3
14. Outline
Contoso Retail and Fundamentals
Enterprise-Level Data Mining Demo for
SQL Server
What is my next step?
15. What is Contoso Retail?
Demonstration dataset for SQL Server
Database Engine and Analysis Services
http://www.microsoft.com/downloads/en/details.aspx?displaylang=en&FamilyID=868662dc-187a-
4a85-b611-b7df7dc909fc
16. What are the fundamentals?
‘Readin’
Arithmetic Reading
‘Ritin’
Writing ‘Rithmetic
17. What Enterprise Tools support Data Mining?
SQL Server Management Studio (SSMS)
Business Intelligence Development Studio
(BIDS)
SQL Server Integration Services (SSIS)
PowerShell version 2
28. What is my next step?
SQL Server 2008 R2 Enterprise
(includes database engine, Analysis Services,
SSMS and BIDS)
http://www.microsoft.com/sqlserver/2008/en/us/trial-
software.aspx
Microsoft Office 2010 Professional
http://office.microsoft.com/en-us/try
PowerShell 2.0
http://support.microsoft.com/kb/968929
Data Mining Portal and Blog
http://www.marktab.net
29.
30.
31.
32. Conclusion
Data mining leaders can tackle enterprise
data mining challenges with
SQL Server Management Studio
Business Intelligence Development Studio
PowerShell version 2
Become leaders of leaders of leaders
33. Where Can I Find More Information?
http://marktab.net Data Mining Resource
http://marktab.net/datamining Data Mining
Blog
http://sqlserverdatamining.com SQL Server
Data Mining
http://technet.microsoft.com Microsoft’s
TechNet
35. Abstract
This presentation introduces SQL Server Data Mining (SSDM) for SQL
Server Professionals based on the speaker's past presentation for
Microsoft TechEd. Starting with SQL Server Management Studio
(SSMS), the demo includes the interfaces important for professional
development, including Business Intelligence Development Studio
(BIDS), highlighting Integration Services, and PowerShell. The
interactive demos are based on Microsoft's Contoso Retail sample
data. Finally we will evaluate where Microsoft data mining can help you
in a practical business environment, which may include Oracle and
SAS.
35