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Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 222020 Last moment tuitions
2 - Data warehouse Architecture  Overview
 
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A quick video to understand standard Datawarehouse architecture. It consists of following layers 1. Data Source layer 2. ETL 3. Staging Area 4. Datawarehouse - Metadata, Summary and Raw Data 5. OLAP, Reporting and Data Mining Data warehouse is populated from multiple sources for an organisation. All these source system comes under Data Source layer. Some of the source systems are listed below: 1. Operations Systems -- such as Sales, HR, Inventory relational database. 2. ERP (SAP) and CRM (SalesForce.com) Systems. 3. Web server logs and Internal market research data. 4. Third-party data - such as census data, demographics data, or survey data. ETL Tools: Talend Open Studio, Jaspersoft ETL, Ab initio, Informatica, Datastage, Clover ETL, Pentaho ETL, Kettle For more details visit http://www.vikramtakkar.com/2015/09/data-warehouse-architecture-overview.html Datawarehouse Playlist: https://www.youtube.com/playlist?list=PLJ4bGndMaa8FV7nrvKXeHCLRMmIXVCyOG
Views: 80771 Vikram Takkar
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 101492 LearnEveryone
Characteristics/Features Of Data Warehouse (Data Mining And Warehousing)  Explained In Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Meta data  in 5 mins hindi
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 89604 Last moment tuitions
Private cloud solution| Cloud infrastructure | Enterprise CRM for Higher Education from Salesforce
 
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Private cloud solution| Cloud infrastructure | Enterprise CRM for Higher Education from Salesforce Please, Help Subscribe us if you want to watch new videos. If you Subscribe, Like and Share our videos, you are a reason that make our channel upload or research what new and share it to all of you. Thanks You So Much For Subscribe, Like And Share. หากคุณต้องการวิดีโอใหม่จากช่องทางของเรากรุณาคลิกที่สมัครสมาชิกและคุณจะได้รับวิดีโอใหม่ครั้งแรก. ขอบคุณสำหรับการเยี่ยมชมและสมัครสมาชิก Nếu bạn muốn đoạn video mới từ kênh của chúng tôi xin vui lòng click Đăng ký và bạn sẽ có được những video mới nhất. Cảm ơn bạn đã ghé thăm và Đăng ký. 如果你想从我们的渠道新的视频,请点击订阅,你会得到的第一个新的视频,谢谢您的光顾与订阅. cloud 9 cloud cloud atlas cloudy urine cloudy with a chance of meatballs cloud bread cloudy with a chance of meatballs 2 cloudflare cloud computing clouds of sils maria cloud 9 cloud atlas cloud bread cloud storage cloud computing cloud strife cloud print cloud nine cloud types cloud 9 movie cloud atlas cloud amiibo cloud atlas book cloud app cloud atlas trailer cloud atlas cast cloud atlas quotes cloud and tifa cloud amiibo release date cloud atlas sextet cloud bread cloud backup cloud b cloud background cloud b sleep sheep cloud b tranquil turtle cloud based storage cloud boards cloud bread reviews cloudberry cloud computing cloud city cloud cult cloud county community college cloud clipart cloud computing definition cloud chasers inc cloud cma cloud chamber cloud chasing cloud drive cloud definition cloud dough cloud drawing cloud database cloud district cloud drive amazon cloud diagram cloud desktop cloud dlc cloud emoji cloud elements cloud erp cloud evo icloud email cloud eggs cloud engineer cloud engineer salary cloud ear fungus cloud expo cloud foundry cloud final fantasy cloud forest cloud formation cloudflare cloud forest costa rica cloud font cloudfront cloud factory cloud facts cloud in a bottle cloud icon cloud images cloud in spanish cloud imperium games cloud in a jar cloud in smash bros cloud ide cloud infrastructure cloud identification cloud hosting cloud house cloud hard drive cloud health cloud headset cloud harmonics cloud height cloud hookah cloud hosting services cloudhq cloud gate cloud gaming cloud gate dance theatre of taiwan cloud google cloud gif cloud gate dance cloud guru cloud gate dance theatre cloud graphic cloud gate address cloud jokes cloud junkies cloudjumper cloud jobs cloud juice cloud joose cloud jacket cloud joose watermelon cloud jammer cloud joins the battle cloud kingdom hearts cloud kindle cloud kid cloudkicker cloud key cloud kicker society cloud kingdom cloud kit cloud king cloud kirby cloud lamp cloud light cloud lounge cloud logo cloud limit breaks icloud login icloud lock cloud light diy cloud letters cloud lending cloud music cloudmagic cloud mattress cloud mining cloud mountain cloud model cloud map cloud music player icloud mail cloud movies cloud outline cloud of witnesses cloud of sils maria cloud of unknowing cloud of darkness cloud of faeries cloud one cloud on title cloud of smoke cloud orchestration cloud nine cloud n9ne syrup cloud nothings cloud names cloud nine meaning cloud nine living cloud nine aspen cloud n9ne syrup review cloud nine cafe cloud nine movie cloud print cloud pets cloud pen cloud pictures cloud peak energy cloud png cloud photo storage cloud pillow cloud player cloud passage cloud quotes cloud quiz cloud q cloud q car seat cloud quickbooks cloud queen vapors cloud questions cloud q cybex cloud quotes ff7 cloud quilt cloud reader cloud rap cloud ready printers cloud rat cloud rat cloud rat cloud ready cloud rider drone cloud radar cloud realty cloud storage cloud strife cloud seeding cloud smash bros cloud services cloud sherpas cloud security cloud storage providers cloud security alliance cloud storage free cloud types cloud tattoos cloud tv cloud to butt cloud technology cloud template cloud technology partners cloud texture cloud tv apk cloud toda cloud vape cloud v electro cloud vpn cloud vibe cloud vector cloud verizon cloud vapor cloud vs link cloud v phantom cloud vs sephiroth cloud umbrella stroller cloud ultima weapon cloud university cloud umbrella cloud upload cloud up cloud update cloud ultimate weapon cloud unicode cloud up air cloud wars cloud wallpaper cloud wiki cloud words cloud white benjamin moore cloud watch cloud walker cloud wall decals cloud white cloud walker shoes cloud x tifa cloud x reader cloud x cloud x reader lemon cloud x zack cloud x aerith cloud x headset cloud x link cloud xbox one
Views: 127 Sam Nang
Is data the lifeblood of your business? With IsCool Entertainment and Actian Vector
 
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Watch this webinar to understand why IsCool Entertainment, a European leader in social gaming applications on Facebook, selected Vectorwise as its engine for business intelligence, analytics and reporting. IsCool Entertainment discusses how Vectorwise has accelerated analysis of high volumes of user data, driving customer retention and new business opportunities -- and more importantly -- help the company to drive their business revenues up considerably. The webinar also presents Actian Vectorwise, the record-breaking and cost-effective analytic database, and how organizations are using it to do high performance data analytics and react to events in real-time. It also discusses how the database lets them turn data into value, and then use it to build out their business.
Views: 190 Actian Corporation
What is a data model - EXPLAINED USING LEGO
 
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This tutorial series comes from The Complete iOS Developer, Freelancer and Entrepreneur Course - http://bit.ly/2cFr8VD Learn EVERYTHING you need to know about app creation, marketing, sales and revenue generation on iOS. You don't need any experience whatsoever! What's more I'll guide you through your own app idea - from design all the way to coding, publishing and marketing. No other online course does this for you. Take this complete course for just $1 in your first month. Cancel any time. 100% satisfaction guaranteed. Go there now: http://bit.ly/2cFr8VD
Views: 416 I Am Dev
Basic Star Schema design
 
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Among the most basic design skills in designing a data warehouse solution is the star schema design. What's a star schema? What are the characteristics of a good star design?
Views: 102847 Rob Kerr
What is DATA WAREHOUSE? What does DATA WAREHOUSE mean? DATA WAREHOUSE meaning & explanation
 
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What is DATA WAREHOUSE? What does DATA WAREHOUSE mean? DATA WAREHOUSE meaning - DATA WAREHOUSE definition - DATA WAREHOUSE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place and are used for creating analytical reports for knowledge workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the DW for reporting. The typical Extract, transform, load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups, often called dimensions, and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data. The main source of the data is cleansed, transformed, catalogued and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support. However, the means to retrieve and analyze data, to extract, transform, and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata. A data warehouse maintains a copy of information from the source transaction systems. This architectural complexity provides the opportunity to: Integrate data from multiple sources into a single database and data model. Mere congregation of data to single database so a single query engine can be used to present data is an ODS. Mitigate the problem of database isolation level lock contention in transaction processing systems caused by attempts to run large, long running, analysis queries in transaction processing databases. Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems. Make decision–support queries easier to write. Optimized data warehouse architectures allow data scientists to organize and disambiguate repetitive data. The environment for data warehouses and marts includes the following: Source systems that provide data to the warehouse or mart; Data integration technology and processes that are needed to prepare the data for use; Different architectures for storing data in an organization's data warehouse or data marts; Different tools and applications for the variety of users; Metadata, data quality, and governance processes must be in place to ensure that the warehouse or mart meets its purposes. In regards to source systems listed above, Rainer states, "A common source for the data in data warehouses is the company's operational databases, which can be relational databases"....
Views: 1024 The Audiopedia
3 Data Tips to Improve ROI - Virtuous CRM
 
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Use these three tips to leverage data and improve ROI within your nonprofit donor management system. Learn how to customize emails for best asks to increase your fundraising! Have a question on Virtuous CRM? Visit our site and let us know! https://www.virtuouscrm.com/demo/video/watch
Views: 106 Virtuous Software
🏆 What is Business Intelligence?
 
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https://www.pipelinersales.com/sales-crm-youtube/ You make hundreds of decisions every day. Based on what? Instinct? Educated guesswork? Not when it comes to the most important ones - for those you want some guidance based on facts, data, real insights. But today we are often overwhelmed by all the data available - we don’t know where to look or what to focus on - this is precisely when you need an intelligent system that can sift through all the noise to find and present you with the real nuggets of value that can guide you towards achieving your revenue goals. Pipeliner is precisely that kind of intelligent system…. but Pipeliner CRM goes further, it doesn’t just highlight the most actionable data, it actually visualizes it to make it even easier to see. For example Pipeliner proactively shows you where there are hidden business opportunities. Now these won’t slip through your fingers but rather may well help you meet and exceed your quota! Should you be focused more right now on filling your pipeline with new opportunities or should you be focused more on closing the ones you already have? Well here in the Target Trend you can see that you have more than enough opportunities right now so it’s time to focus on closing! See how with one quick glance, Pipeliner put you on the right track? Ok but there are so many opportunities. Where should you focus first? The Bubble chart shows me the biggest opportunities by their value and those furthest along in the process. So i instantly see that this one is first followed by this one. Hmmm this one has been sitting here for some time - so what exactly should you do? Looking inside you see this checklist where you immediately see that the last action you took was to send a proposal. So now is the time to schedule a call to discuss it with the prospect. Now let’s also check your sales activities. Oh this is done. And here you see you have some high priority ones with approaching due dates - better get working on them. See how questions are followed by informed decisions? Backed up by the relevant data from the system? You can even see what role a contact plays in the company and you can tailor messages to them - maybe they can become your internal advocate and help you close the deal?. Everyone’s pipeline can always improve - so take a look at your lead conversion rate or pipeline drop-off rates - maybe there are stages of the sales process where your team loses more opportunities than others - go the archive and using the filter, review those lost opportunities to see if you can uncover some common reasons they lose at this stage. Now you have something to work on correcting and training your salespeople on. While doing this you also discover that you have a salesperson who is meeting their target but when you look closer you see that their win/loss rate is really poor - they win enough to meet quota but lose a huge amount of other opportunities - if you could improve the win rate a little, that rep would not just meet but exceed quota, make more money and generate even more revenue for the company! Everybody’s a winner! So as you can see, with Instant Business Intelligence, Visualized you save time, stay focused and win more business! Sign up for pipeliner free trial or watch how we can help you with other stuff too. With Pipeliner CRM, it can be done with just a few clicks. See for yourself! Click here to download a free trial: https://pipelinersales.com/crm/free-trial/
Views: 181 Pipeliner CRM
Data Warehouse & Power BI Housing & Dining Services Information Technology
 
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Housing Information Technology is streamlining Housing & Dining Services’ access to data and reporting by creating a secure Data Warehouse and integrating Microsoft’s Power Business Intelligence platform, referred to as Power BI. Video by Jesse Petersen, University of Colorado
Views: 394 CUBoulderLiving
Customer 360: Graph Technology to understand the customer
 
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This webinar, co-presented with our partners at Expero, explores how graph visualization can help you achieve a single definitive view of the customer. You’ll learn how graph technologies are used to connect customer touch-points and create a better, more profitable customer journey. We’ll share examples to show how you can generate customer insights that improve loyalty, decrease churn and maximise your ROI.
Use of CRM Applications Must Be Process-Centric
 
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"CRM applications are very data centric in nature, but if you're actually going to use one you need to be process centric," said Bill Band, VP and Principal Analyst Serving Business Process Professionals for Forrester, in our conversation at the CRM Evolutions 2012 conference in New York City. "While a CRM is great at collecting and storing customer information, it's not so good at connecting business process from end to end," said Band. To be able to handle a case from beginning to end and deliver a great customer experience, Forrester's clients are trying to add business process capabilities on top of their CRM systems. While it's key to have process, it's often not necessary for a simple customer interaction into the CRM. Overloading the CRM with unnecessary processes is one of the key pitfalls Band sees with adding business process management. "Business process management can help you deliver a better customer experience but you should only be focusing on things such as customer service interactions, client on-boarding, load applications, or things where there's a lot of complexity in the business process. If you don't have that kind of complexity, a traditional data-centric solution will work just fine," said Band.
Views: 212 Zoho
CRM and Database Management Video - Send One View
 
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The CRM and database management system we implement means you are able to drill down into individual profiles, select mailing extracts or look at your customer base as a whole. The more detail you have on each individual, the more you are able to target offers based on what they really need and retain their custom, year after year.
Views: 607 SendMarketing
ERP- Enterprises Resource Planning explained in hindi
 
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ERP- Enterprises Resource Planning explained in hindi. Hello friends, In this video we have covered about Enterprises Resource Planning and how ERP software can increase business profit for small and big organisation. दोस्तों इस वीडियो में मैंने ERP के बारे में मैंने डिटेल्स में बताया हूँ और उम्मीद करता हूँ की आपको पसंद भी आएगी क्योकि इस सॉफ्टवेयर से आपका बिज़नेस में बहुत फायदा होगा - ------------------------ What about your opinions? tell me in comment. ------------------------ Follow us on Facebook-https://www.facebook.com/asinformer Follow us on Twitter -https://twitter.com/asinformer Follow us on Instagram-https://www.instagram.com/asinformer Subscribe us-https://www.youtube.com/asinformer Website - http://www.techaj.com/ ------------------------ Thanks for watching my Video , Keep liking and subscribe my channel About : AS Informer channel contains daily tech news, How to guide and review with lot of technology concept.
Views: 42755 AS Informer
Transformation of EHR data to OMOP Common Data Model
 
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Min Jiang SBMI Ph.D Candidate
Views: 1716 UTHealth SBMI
Understanding Big Data Using System Dynamics and XMILE
 
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This webinar provides information on OASIS XML Interchange Language (XMILE) for System Dynamics. The standard will enable organizations to generate complex cause and effect models for Big Data Analytics. XMILE has the potential to revolutionize the way organizations consume Big Data, analyze options, and evaluate decisions. Speakers include Steve Adler, IBM Information Strategist, and Karim Chichakly, isee systems Chief Architect. This recording was made 24 June 2013.
Views: 1800 OASIS Open Standards
Introduction to Database Management Systems 1: Fundamental Concepts
 
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This is the first chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the fundamental concepts behind databases, database technology, database management systems and data models are explained. Discussed topics entail: applications, definitions, file based vs. databased data management approaches, the elements of database systems and the advantages of database design.
Views: 290687 Bart Baesens
Prosopography and Computer Ontologies: the 'factoid' model and CIDOC-CRM - Michele Pasin
 
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Michele Pasin, Research Associate, Kings College, London Presented at "Representing Knowledge in the Digital Humanities", University of Kansas, September 24, 2011 Institute for Digital Research in the Humanities: http://idrh.ku.edu Abstract: Structured Prosopography provides a formal model for representing prosopography: a branch of historical research that traditionally has focused on the identification of people that appear in historical sources. Pre-digital print prosopographies, such as Martindale 1992, presented its materials as narrative articles about the individuals it contains. Since the 1990s, KCL's Department of Digital Humanities (formerly known as Center for Computing in the Humanities) has been involved in the development of structured prosopographical databases, and has had direct involvement in Prosopographies of the Byzantine World (PBE and PBW), Anglo-Saxon England (PASE), Medieval Scotland (PoMS) and now more generally northern Britain ("Breaking of Britain": BoB), and is currently in discussions about others. DDH has been involved in the development of a general "factoid-oriented" model of structure that although downplaying or eliminating narratives about people, has to a large extent served the needs of these various projects quite well.
Data Management_ Dbms_ Characteristics Of Database Management System[Hd]
 
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I im joining the navy. i want to have the job business management? Duo core drive (data? drive) missing? Can i make career in it management? Im interested in data? analysis. what courses or degree do i need to have? Sql management? studio? What is the best jewelry crm or jewelry customer management? software? Cpa and mba in operations management? U.p.e.s. dehradoon distance mba in power management? review? By looking at science data? & workplace records below, identify the data? & records for storage in a lims? Does n mba pg opt for event management? as a side option? Looking for data? entry firms that input fafsa forms etc? What is mis or management? information system with your own definition?
Help4Access (Database Consulting and Custom Design) - Demo - PSB Law
 
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Help4Access demonstrates a custom database application developed for a law firm to provide case management.
Views: 333 Sasha Froyland
MER '12 - S19: Cultural Challenges in Companies Addressing Structured Data Systems
 
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Clip from "M12S19 -- CASE STUDY: e-RIM Success with Structured Data Systems" Speakers: Laurie Fischer, Kevin S. Joerling and Michael S. McKenna. Michael S. McKenna discusses change management strategy. Panel Discussion topics in this video: • RIM/IT/Legal Infrastructure • RIM Program Maturity and Key Components • Overall Approach to Electronic Records and Information Management • Application Profile • IT Environment and Structure • Risk Evaluation • Remediation Process • Successes / Challenges Buy the full session here: http://www.rimeducation.com/videos/rimondemand.php RIM on Demand(TM) is sponsored by Cohasset Associates, Inc.
Views: 48 MER Conference
Client Server Architecture (Hindi)
 
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Topics: Client Server Architecture HTML Tutorials : http://goo.gl/O254f9 CSS Tutorials: https://goo.gl/1QNdiB SQL Tutorials: https://goo.gl/U4TcEX Check Out Our Other Playlists: https://www.youtube.com/user/GeekyShow1/playlists SUBSCRIBE to Learn Programming Language ! http://goo.gl/glkZMr Learn more about subject: http://www.geekyshows.com/ ________________________________________________ If you found this video valuable, give it a like. If you know someone who needs to see it, share it. If you have questions ask below in comment section. Add it to a playlist if you want to watch it later. ________________________________________________ T A L K W I T H M E ! Business Email: [email protected] Youtube Channel: https://www.youtube.com/c/geekyshow1 Facebook: https://www.facebook.com/GeekyShow Twitter: https://twitter.com/Geekyshow1 Google Plus: https://plus.google.com/+Geekyshowsgeek Website: http://www.geekyshows.com/ _______________________________________________ Make sure you LIKE, SUBSCRIBE, COMMENT, and REQUEST A VIDEO! :) _______________________________________________
Views: 12282 Geeky Shows
Embedded Automatic Model Training & Forecasting in an Enterprise Software App., Greg Makowski
 
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Greg Makowski, Director of Data Science, LigaDATA How can the process of Knowledge Discovery in Databases be automated, competitive and reliable? One approach is to focus on a narrow vertical market application, with known data sources and data feeds. Then you can automate the Exploratory Data Analysis (EDA) and Preprocessing phases. But how do you automate the selection of training data? Can the enterprise application be installed and configured at a variety of clients without a Senior Knowledge Discovery Engineer? How can you minimize "worst case" results of such a system when used by a business user going through their normal business role? How can you deeply investigate and model "business values" (i.e. things that can get an end user promoted or fired) into the core of the data mining algorithms? This talk will answer these questions and more. The patent-pending application, ELF, is an enterprise application in the retail supply chain vertical market. Before the development of this system, one enterprise application was used to lay out a weekly newspaper flier three weeks before the sales event, which in turn fed data into a replenishment application. The replenishment application kept products on the store shelves, with a minimal amount of over stock and under stock. The pain point was that the retail buyer would have to manually estimate the the sales lift, or the multiplier increase in sales, for every item for every store. While human expertise can be great, it isn't as scalable when applied to a sales event with 1,000 - 4,000 items on sale in 6,000 stores. ELF (Event Lift Forecasting) would import data from a planned event and automatically analyze and forecast the lift for each store-item combination. Data elements used included pricing, placement in the flier, store geography and demographics, seasonality, and product hierarchy. The resulting ELF system produced a 8-30% reduction in over and under stock costs, which is very significant in terms of the low profit margins in the supply chain industry. Speaker Bio Greg Makowski is Director of Data Science at LigaDATA. Prior to that, he was Lead Data Scientist at Elastica,. At CashEdge (acquired by Fiserv), he was Director of Risk Analytics and Policy. He was a Principal Consultant of Golden Data Mining, in Los Altos, California. Since 1992, he has deployed over 70 data mining models for clients in targeted marketing, financial services, supply chain, e-commerce, and Internet advertising in North America, South America and Europe. He has applied a variety of data mining algorithms during these engagements and has experience using SQL, SAS, Java, and areas of Cloud Computing. Greg has eight years of experience in Product Management and over six years of experience working with start ups. http://www.LinkedIn.com/in/GregMakowski http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/ Slides: http://www.slideshare.net/gregmakowski/Embedded-Automatic-Model-Training-and-Forc-in-an-Enterprise-SW-Applic Greg did an encore performance here due to our scheduled speaker being unable to attend.
7 Common Warehousing Mistakes and How to Avoid Them
 
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To help you keep on top of your warehouse management and ensure your storage facilities don’t generate undue supply chain costs, take note of the seven common warehousing mistakes. Read the full blog post: http://www.logisticsbureau.com/7-common-warehousing-mistakes-and-how-to-avoid-them/
Views: 196 Rob O'Byrne
Master Data Management Webinar - Part 1
 
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Here is the first part of the Master Data Management Webinar hosted by Ian Marritt from IMGROUP. Make sure you hear listen to the rest of the webinar!
Views: 1383 IMGROUPUK
Enterprise Operations Management
 
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Schneider Electric Software solutions enable customers to actively collect, visualize, analyze and act across the entire asset and operational lifecycle. Empowering decision makers with actionable insights; where they want it, when they need it, resulting in much higher levels of efficiency. All components in our comprehensive solution are designed to work together. You can confidently begin optimizing anywhere within your process–focusing on a single critical area or implementing an enterprise scale initiative – with compatibility and communication to all other connected points, no matter the scale or timing of the project.
7 - Impact of IS on Management - I
 
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Lecture Series on Management Information System by Prof. Biswajit Mahanty, Department of Industrial Engineering & Management,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 5265 nptelhrd
Whiteboard Session with Anthony Bak
 
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Watch Anthony Bak whiteboard why Topological Data Analysis is changing the way we do data analysis.
Views: 954 Ayasdi
OLAP in Urdu/hindi
 
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OLAP in Urdu/hindi
Views: 403 Azhar Mehdi
Understanding Sumac mapping document
 
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Sumac nonprofit software data migration service - Understanding Sumac mapping document
Views: 207 SumacSoftware
When to Create a Data Warehouse, Data Mart & a Reporting Database (DW/DM/RDB)
 
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Watch this video to find out when you need to create a Data Warehouses, Data Marts or a Reporting Database. We examine when do companies need to create data warehouses. And what things you have to keep in mind when deciding that you're organization is ready Watch the next series of videos where WCI goes into details about: - what is necessary for a data warehouse - and how do you go about taking the first steps to get one
Views: 4383 WCI Data Solutions
DataMeadow: Multidimensional Visual Exploration
 
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We present the DataMeadow, a visual canvas providing rich interaction for constructing visual queries using graphical set representations called DataRoses. A DataRose is essentially a starplot of selected columns in a dataset displayed as multivariate visualizations with dynamic query sliders integrated into each axis. The purpose of the DataMeadow is to allow users to create advanced visual queries by iteratively selecting and filtering into the multidimensional data.
Views: 599 Niklas Elmqvist
What is the full form of GDSS?
 
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This page is all about abbreviation, acronym and meaning of the given term GDSS. Not able to find full form or full meaning of GDSS May be you are looking for other term similar to GDSS.
Views: 109 malkeet dateli
Business process KPIs
 
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Useful materials for business process KPI: • kpi123.com/free-ebook-2436-KPIs • kpi123.com/free-ebook-10-secrets-to-KPIs-success • kpi123.com/top-28-performance-appraisal-forms • kpi123.com/free-ebook-1125-performance-review-phrases • kpi123.com/kpi-meaning • kpi123.com/kpi-reporting • kpi123.com/kpi-dashboard-and-forms Job titles related: business process administrator, business process advisor, business process analyst, business process assistant, business process associate, business process clerk, business process consultant, business process coordinator, business process controller, business process engineer, business process executive, business process manager, business process officer, business process representative, business process specialist, business process supervisor, business process support, vp business process, business process director, business process leader, business process ntry level, senior business process, junior business process… The above KPIs can be used for fields such as: accounting, administrative, advertising, agency, agile, apartment, application, architecture, asset, assistant, audit, auto, automotive, b2b, bakery, band, bank, banquet, bar, benefits, beverage, billing, brand, budget, building, business, cafe, call center, car, catering, channel, clinic, commercial, communications, community, construction, consulting, content, creative, crm, customer relations, customer service, data, database, delivery, design, digital marketing, distribution, ecommerce, education, electrical, energy, engineering, environmental, equipment, erp, events, exhibition, export, f&b, facilities, factory, fashion, finance, fmcg, food industry, fundraising, furniture, gallery, golf, grants, grocery, gym, healthcare, help desk, hospital, hospitality, hotel, housekeeping, housing, hr, hse, hvac, ict, import, infrastructure, innovation, insurance, interactive, interior design, international, internet, inventory, investment, it, jewelry, kitchen, lab, leasing, legal, logistics, maintenance, manufacturing, market, marketing, materials, media, merchandising, mining, mortgage, music, network, new car, ngo, nhs, non profit, non technical, oem, office, offshore, oil and gas, operations, outbound, outlet, overseas, parts, payroll, pharmaceutical, pharmacy, plant, procurement, product, production, project, property, purchasing, quality assurance, r&d, real estate, records, recruiting, release, research, reservations, restaurant, retail, safety, business process, salon, security, service, shipping, social media, software, sourcing, spa, staffing, store, studio, supply chain, systems, technical, technology, telecom, telecommunications, tour, tourism, training, transportation, travel, vehicle, wealth, web, wedding, wine…
Views: 224 Nadal Philips
When Data Discovery & GDPR meet
 
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Our latest webinar discusses what happens when Data Discovery and GDPR meet. We highlight the key benefits of the technology and explain why your GDPR strategy needs data discovery.
Views: 78 Connexica Ltd
Serverless All the Way Down: Build Serverless Systems with Compute, Data, and ML (Cloud Next '18)
 
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Whether your app is mobile, web, or cloud native, Google Cloud Platform (GCP) has an entire suite of serverless tools that can help. What is serverless? It means cloud power available instantly and transparently, without having to create any virtual machines or manage scaling or application runtimes. See how GCP and serverless can make your app's backend more powerful, cheaper, and easier to build and manage. We'll explore compute products like Google Cloud Functions, big data tools, like Firestore and BigQuery, and machine learning tools that can connect to build entire systems (web, mobile, and cloud) that run purely serverless! DEV219 Event schedule → http://g.co/next18 Watch more Application Development sessions here → http://bit.ly/2zMcTJc Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1831 Google Cloud Platform
BPM Portal
 
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Jen pro představu, jak nemá vypadat webová aplikace
Views: 143 Miro Hrončok
Decision Tables   Testing the Decision Modeling Notation banking lending system
 
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Decision Tables provide a powerful method to capture complex logic. Harmony's "zero-coding" concept allows business users to create business systems by copy/pasting DTs from Excel or Google spreadsheets. But what about Testing? In this short YouTube we demonstrate how simple it is to test decision logic. Introducing Testimony .... the simple to use, professional, automated testing solution. Powered by Liquid Sequence ... creators of Harmony and Testimony ... cloud application development like you have never experienced before.
Views: 448 LiquidSequence
PIRIKA : A VERSATILE ARGUMENTATION SYSTEM BASED ON THE LOGIC OF MULTIPLE-VALUED ARGUMENTATION
 
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LMA is a Logic of Multiple-valued Argumentation, built on top of an expressive knowledge representation language EALP, Extended Annotated Logic Programming (http://csdl.computer.org/comp/proceedings/aamas/2004/2092/02/20920800abs.htm). LMA allows agents to construct arguments under uncertain knowledge and to argue with other agents on uncertain issues in the open networked heterogeneous environment. PIRIKA is a realized system of EALP/LMA. The argumentation scenario of PIRIKA basically consists of the following phases: Registering agents (as avatars of humans) with the argument server so that they can commit to argumentation Preparing a lattice of truth values for dealing with un- certainty depending on application domains Designing knowledge bases under the specified truth values in terms of EALP Starting argumentation on submitted issues/claims in LMA (see Figure 1 for the system architecture) Visualizing the live argumentation process and diagramming arguments Determining the status of an argument Storing arguments and their results in the argument repository for the future reuse In addition, many other unique features for the logic of multiple-valued argumentation is integrated with the core part of PIRIKA. They are, Logic of argumentation under uncertain knowledge Neural network argumentation Pluralistic argumentation (Eastern arguments) Syncretic argumentation Argument mining Argument animation http://www.cs.ie.niigata-u.ac.jp/Research/PIRIKA/PIRIKA.html
Views: 248 T Satoru
INFO 504 Week 6: Structured Data Management
 
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INFO 504 Week 6: Structured Data Management
Views: 44 Kevin Comerford
What is amazon web services(AWS)
 
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What is amazon web services. Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms to individuals, companies and governments, on a paid subscription basis. The technology allows subscribers to have at their disposal a virtual cluster of computers, available all the time, through the Internet. AWS's version of virtual computers emulate most of the attributes of a real computer including hardware (CPU(s) & GPU(s) for processing, local/RAM memory, hard-disk/SSD storage); a choice of operating systems; networking; and pre-loaded application software such as web servers, databases, CRM, etc. Each AWS system also virtualizes its console I/O (keyboard, display, and mouse), allowing AWS subscribers to connect to their AWS system using a modern browser. The browser acts as a window into the virtual computer, letting subscribers log-in, configure and use their virtual systems just as they would a real physical computer. They can choose to deploy their AWS systems to provide internet-based services for themselves and their customers. The AWS technology is implemented at server farms throughout the world, and maintained by the Amazon subsidiary. Fees are based on a combination of usage, the hardware/OS/software/networking features chosen by the subscriber, required availability, redundancy, security, and service options. Subscribers can pay for a single virtual AWS computer, a dedicated physical computer, or clusters of either. As part of the subscription agreement,[6] Amazon provides security for subscribers' system. AWS operates from many global geographical regions including 6 in North America.[7] In 2017, AWS comprised more than 90 services spanning a wide range including computing, storage, networking, database, analytics, application services, deployment, management, mobile, developer tools, and tools for the Internet of Things. The most popular include Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). Most services are not exposed directly to end users, but instead offer functionality through APIs for developers to use in their applications. Amazon Web Services' offerings are accessed over HTTP, using the REST architectural style and SOAP protocol. Amazon markets AWS to subscribers as a way of obtaining large scale computing capacity more quickly and cheaply than building an actual physical server farm.[8] All services are billed based on usage, but each service measures usage in varying ways. As of 2017, AWS owns a dominant 34% of all cloud (IaaS, PaaS) while the next three competitors Microsoft, Google, and IBM have 11%, 8%, 6% respectively according to Synergy Group -~-~~-~~~-~~-~- How to install wordpress in xampp step by step https://www.youtube.com/watch?v=YdwMhXX-FLE How to create menu and submenu in wordpress https://www.youtube.com/watch?v=PACC3farNPY https://www.youtube.com/watch?v=8kG3JTbGAbw How to install wordpress theme with demo data free How to change footer copyright in wordpress https://www.youtube.com/watch?v=3oIkPWYXyyQ How to change footer widget in wordpress https://www.youtube.com/watch?v=1HbnBbZX9tA How to backup & restore your wordpress website in 3 minutes free 2018 https://www.youtube.com/watch?v=pSr5w4U36c8 How to use the revolution slider plugin with Button Link - full tutorial 2018 https://www.youtube.com/watch?v=KMBFxOlObx4 https://www.youtube.com/watch?v=z5jbofGMOHM How to add new user role in wordpress How To Add YouTube Video To Your WordPress Website 2018 https://www.youtube.com/watch?v=jCWQ7oA2bBA How to add contact form 7 in wordpress page https://www.youtube.com/watch?v=E9U27FOPNyo How to change favicon in wordpress theme https://www.youtube.com/watch?v=uvczOIqdVYk How to use tubebuddy on youtube - 2018 full tutorial https://www.youtube.com/watch?v=N1zpn3sT-2o How to add additional css in wordpress 2018 https://www.youtube.com/watch?v=2L7lHf_0C-E -~-~~-~~~-~~-~-
Views: 31 The Coding Bus

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