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Data Warehousing - An Overview
 
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This video aims to give an overview of data warehousing. It does not delve into the detail - that is for later videos. Here, you will meet Bill Inmon and Ralph Kimball who created the concept and the commercialised it respectively. You then get a quick tour of the basic concepts used in data warehousing.
Views: 320637 Andy Wicks
Agile Data Warehouse Design Tutorial | Data Warehouse Model
 
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The development of a data warehouse starts with a data model. In this video tutorial from our Agile Data Warehouse design training course, expert author Michael Blaha will take you through the process of creating a data model. More details on this Agile Data Warehouse Design training course, as well as more free lessons, can be found at http://oreil.ly/1S4zJcs. YouTube: https://www.youtube.com/user/OreillyMedia Facebook: https://www.facebook.com/OReilly/?fref=ts Twitter: https://twitter.com/OReillyMedia Website: http://www.oreilly.com/
ETL Architecture In-Depth - Dimensional Modelling 101
 
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A presentation by DWS Consultant Ross Leishman based on material from the Kimball Group's 4-Day Course - ETL Architecture In-Depth. This is the 1st of a 3-part series: Part 2: Intermediate Dimensional Modelling - http://youtu.be/Bk2a91BSMf8 Part 3: Advanced Dimensional Modeling - http://youtu.be/m49PclOSKpg Refer "The Data Warehouse Toolkit - The Complete Guide to Dimensional Modelling (2nd Edition) - R. Kimball, M. Ross. DWS Ltd is an Australian IT Company. www.dws.com.au
Views: 58190 DWS Ltd
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - Please write back to us at sal[email protected] or call us at +91 90660 20866 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 179031 edureka!
Business Intelligence / Data Warehouse Lifecycle in Depth
 
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Learn how to successfully design, develop, and deploy a data warehouse and business intelligence system.
Views: 9803 quest for knowledge
What is Dimensional Modeling
 
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Description – Dimensional modeling is set of guidelines to design database table structure for easier and faster data retrieval. It is widely accepted technique. Big benefits of using dimensional modeling is its simplicity and faster query performance. In this tutorial, we will talk about Dimensional modeling in Data Warehouse and will see how it is different from ER modeling. We will understand the concept and then we will look into process to design dimensional models. Subscribe - https://www.youtube.com/channel/UCKKcA2ZYYsXb5IUbOKKcRJQ About AroundBI : We are trying to create an educational platform with an aim to provide tutorials in a very simple and understandable way.
Views: 10021 aroundBI
ETL Design Pattern - The Foundation
 
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http://www.leapfrogbi.com Data warehousing success depends on properly designed ETL. In this short video we walk though the foundation design pattern step-by-step.
Views: 19719 LeapFrogBI
QBE's Design Principles
 
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Views: 3194 Eddie Woo
4 Step How To Design Dimensional Modelling DataWarehouse
 
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Made By Collegers of Information Systems - ITS References : Kimball Group Book
Views: 23477 Ayu Nastiti
DW arch Inmon vs Kimball
 
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Views: 4172 Kalyan S
Lean Warehousing Concepts and Principles
 
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A free webinar offered by the Georgia Tech Supply Chain & Logistics Institute and LeanCor Supply Chain Group which introduced attendees to using proven principles of lean management to cut waste and improve warehouse efficiencies. Based on the Lean Warehousing professional education course offered through the Georgia Tech Supply Chain and Logistics Institute, Brad Bossence discusses: - The key elements of lean thinking that should be used in the warehouse - How to utilize lean tools to reduce waste in the warehouse - How to operate a warehouse based on visual management and real time problem solving - How to create collaboration between warehousing and other functional areas Presented by Brad Bossence, Vice President at LeanCor and instructor for the Georgia Tech Supply Chain & Logistics Institute. Learn more about our Lean Warehousing course and our certificate series at http://www.scl.gatech.edu/leanwh and http://www.scl.gatech.edu/certificates.
Views: 28061 GTSCL
Data Warehouse Design for Sustainable Business Intelligence
 
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http://LearnDataVault.com Get free chapters of Dan's new Business Intelligence and Data Modeling book on the Data Vault Architecture & Methodology. Watch free lessons and bonus materials, ask Dan questions and get answers from the inventor of the Data Vault
Views: 13370 learndatavault
Enterprise Data Warehouse concept in simple and layman terminology
 
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You will learn meaning of Data Warehouse, its requirement for industries. You will also learn from this video about Basics of Data, Tableau, Database, ETL, Data Marts and data mining.
chapter 7 principles of dimensional modeling and data warehousing database design
 
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Subscribe today and give the gift of knowledge to yourself or a friend chapter 7 principles of dimensional modeling and data warehousing database design
Views: 14 slideshow pro
Dimensional Modeling
 
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A tutorial on the concepts and practice of Dimensional Modeling, the Kimball Method.
Views: 2755 Bryan Cafferky
Introduction to Database Design | Database Management System
 
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There are two methods of database design: Design by Analysis and Design by Synthesis. To ask your doubts on this topic and much more, click on this Direct Link: http://www.techtud.com/video-lecture/lecture-introduction-0 IMPORTANT LINKS: 1) Official Website: http://www.techtud.com/ 2) Virtual GATE: http://virtualgate.in/login/index.php Both of the above mentioned platforms are COMPLETELY FREE, so feel free to Explore, Learn, Practice & Share! Our Social Media Links: Facebook Page: https://www.facebook.com/techtuduniversity Facebook Group: https://www.facebook.com/groups/virtualgate Google+ Page: https://plus.google.com/+techtud/posts Last but not the least, SUBSCRIBE our YouTube channel to stay updated about the regularly uploaded new videos.
Views: 24420 Techtud
What is OLAP?
 
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This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 359574 Intricity101
Data Vault Data Warehouse Architecture
 
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Recorded on 19 Nov 2013 at PASS Data Warehousing and Business Intelligence Virtual Chapter (PASS DW/BI VC) Data Vault Data Warehouse Architecture Data vault is a compelling architecture for an enterprise data warehouse using SQL Server 2012. A well designed data vault data warehouse facilitates fast, efficient and maintainable data integration across business systems. In this session Leslie and I will review the basics about enterprise data warehouse design, introduce you to the data vault architecture and discuss how you can leverage new features of SQL Server 2012 help make your data warehouse solution provide maximum value to your users. Speakers: Jeff Renz has been working in the IT industry for 14 years, the last 10 of which has been focused on designing and implementing data collection and reporting solutions. He is currently working as a consultant for RevGen Partners. Certified by the Genesee Academy as a Certified Data Vault Data Modeler. Leslie Weed is currently a Consultant with RevGen Partners in Denver, CO. She has been working with SQL Server for over 13 years in various industries including manufacturing, finance and retail. Leslie strongly believes the best SQL goes hand in hand with a good cup o' joe. Join PASS DW/BI Virtual Chapter at http://bi.sqlpass.org Follow us on Twitter @PASSBIVC
Data Architecture
 
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Moving from a world where data was stored in a singular database, into a NoSQL world. A very high level presentation on storage, and logic.
Views: 7337 Jef King
Dimensional Modeling
 
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This video will help you to learn Dimensional Modeling concepts of Datawarehouse and make you understand the Schemas present in Datawarehouse for designing a model
Views: 2509 IBM Cognos Trainer
Big Data Ops: ETL and Data Warehouse Testing Principles
 
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This video is a sample from Skillsoft's video course catalog. After watching this video, you will be able to recognize the testing methods in ETL processes. Skillsoft is the global leader in eLearning. We train more professionals than any other company and we are trusted by the world's leading organizations, including 65 percent of the Fortune 500. At Skillsoft, our mission is to build beautiful technology and engaging content. Our 165,000+ courses, videos and books are accessed more than 130 million times every month, in 160 countries and 29 languages. With 100% cloud access, anytime, anywhere.
Views: 105 Skillsoft YouTube
Agile Manifesto and Data Warehousing
 
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Kent Graziano explains the 12 principles of the agile manifesto, and how it works with data warehousing. Check out his course at: http://KeyLDV.com
Views: 345 learndatavault
A Health Catalyst Overview: An Introduction to Healthcare Data Warehousing and Analytics (Webinar)
 
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Please join us as two of Health Catalyst’s best, Vice President Jared Crapo and Senior Solutions Consultant Sriraman Rajamani, cover important basics including who Health Catalyst is, what we provide and how we deliver our products. Jared and Sri provide an easy-to-understand discussion regarding the key analytic principles of adaptive data architecture. Some specific items they cover are: The industry challenges that warranted the creation of Health Catalyst. The use of Health Catalyst’s data analysis tools and applications that enable organizations to quickly uncover care improvement and cost reduction opportunities. Implementation best practices that Health Catalyst organizes into Achievement Levels, including how they are delivered, installed, and typical implementation schedules. Attendees understand who in your organization needs to be involved and the secrets to success and pitfalls to avoid. The discussion includes the key analytic principles of an adaptive data architecture including data aggregation, normalization, security, and governance. Jared and Sri also address the basic requirements for implementation of the measurement platform of a data warehouse, such as team creation, roles, and reporting. Finally, they demonstrate several of the key tools necessary to move the analytics strategy forward including a improvement prioritization application, applications used to organize patient populations, others used to monitor and measure care results and still others that are specific to advanced areas of care.
Views: 1819 Health Catalyst
The World is Flat:  Design Principles for Salesforce Data Modeling
 
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Getting the data model right is critical for the performance, usability and maintainability of your Salesforce customizations and custom Force.com applications. As you have probably already experienced, the Force.com database is unlike any relational database you may have used in the past, and SOQL is definitely not SQL. Attend this session to learn why Force.com data modeling is important, how to resist the temptation to normalize the data model and instead apply patterns of denormalization, and what patterns and practices can be applied to balance the competing requirements of user experience, analytics, query performance, scalability and operations to design high-performing data models for Salesforce.
Views: 1053 Salesforce Developers
Lecture - 38 Basic Inventory Principles
 
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Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 185103 nptelhrd
Agile Data Warehouse Design for Big Data Presentation
 
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Synopsis: [Presentaion link: http://www.slideshare.net/vishaltx/a2c-boston-big-data-meetup-20131114 ] Jim Stagnitto and John DiPietro of consulting firm a2c) will discuss Agile Data Warehouse Design - a step-by-step method for data warehousing / business intelligence (DW/BI) professionals to better collect and translate business intelligence requirements into successful dimensional data warehouse designs. The method utilizes BEAM✲ (Business Event Analysis and Modeling) - an agile approach to dimensional data modeling that can be used throughout analysis and design to improve productivity and communication between DW designers and BI stakeholders. BEAM✲ builds upon the body of mature "best practice" dimensional DW design techniques, and collects "just enough" non-technical business process information from BI stakeholders to allow the modeler to slot their business needs directly and simply into proven DW design patterns. BEAM✲ encourages DW/BI designers to move away from the keyboard and their entity relationship modeling tools and begin "white board" modeling interactively with BI stakeholders. With the right guidance, BI stakeholders can and should model their own BI data requirements, so that they can fully understand and govern what they will be able to report on and analyze. The BEAM✲ method is fully described in Agile Data Warehouse Design - a text co-written by Lawrence Corr and Jim Stagnitto. About the speaker: Jim Stagnitto Director of a2c Data Services Practice Data Warehouse Architect: specializing in powerful designs that extract the maximum business benefit from Intelligence and Insight investments. Master Data Management (MDM) and Customer Data Integration (CDI) strategist and architect. Data Warehousing, Data Quality, and Data Integration thought-leader: co-author with Lawrence Corr of "Agile Data Warehouse Design", guest author of Ralph Kimball's "Data Warehouse Designer" column, and contributing author to Ralph and Joe Caserta's latest book: "The DW ETL Toolkit". John DiPietro Chief Technology Officer at http;//A2C.com IT Consulting John DiPietro is the Chief Technology Officer for a2c. Mr. DiPietro is responsible for setting the vision, strategy, delivery, and methodologies for a2c's Solution Practice Offerings for all national accounts. The a2c CTO brings with him an expansive depth and breadth of specialized skills in his field. Sponsor Note: Thanks to: Microsoft NERD for providing awesome venue for the event. http://A2C.com IT Consulting for providing the food/drinks. http://Cognizeus.com for providing book to give away as raffle.
Views: 229 Vishal Kumar
Supply Chain: Warehouse Design - Open Model
 
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In case, if you would like to discuss about supply chain training and certifications (CSCP/CLTD/CPIM) and its impact on your career progression, please feel free to fix up a meeting with me using the below link: https://app.hubspot.com/meetings/venkadeshn This video is about Warehouse Design - Open Model. Fhyzics, an International Channel Partner (ICP) of APICS, USA offers supply chain training towards CSCP, CLTD and CPIM certifications. For more details, please visit http://www.iiscm.org or speak to us at +91-900-306-9000. Keywords: supply chain management, CPIM, inventory management, logistics management, warehouse management,  inventory management techniques, CSCP, apics CSCP.
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: 223148 Last moment tuitions
DW 2: What is Dimensional Modelling
 
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Subscribe To Channel http://www.youtube.com/user/TheOresoft?feature=mhee Dimensional Model - Compared to the entity relationship model using in OLTP systems, the data model for the data warehouse is very simple. Also called a star schema, the model looks like a star, with one large central table joined to a set of smaller tables. The central table is called the fact table and the other tables are called dimensions. Please take Free Software Classes at http://mentorsnet.org
Views: 36452 Oresoft LWC
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: 290953 Bart Baesens
What is DATA WAREHOUSE AUTOMATION? What does DATA WAREHOUSE AUTOMATION mean?
 
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What is DATA WAREHOUSE AUTOMATION? What does DATA WAREHOUSE AUTOMATION mean? DATA WAREHOUSE AUTOMATION meaning - DATA WAREHOUSE AUTOMATION definition - DATA WAREHOUSE AUTOMATION 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 Data warehouse automation or DWA refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation. It helps improve productivity, reduce cost, and improve overall quality. Data warehouse automation primarily focuses on automation of each and every step involved in the lifecycle of a data warehouse, thus reducing the efforts required in managing it. Data warehouse automation works on the principles of design patterns. It comprises a central repository of design patterns, which encapsulate architectural standards as well as best practices for data design, data management, data integration, and data usage. In November 2015, an analyst firm has published a guide Which Data Warehouse Automation Tool is Right for You? covering four of the leading products in the DWA space. In November 2015, an international software and technology services company engaged in developing ‘agile tools’ for the data integration industry, was named by CIO Review as one of the 20 most promising productivity tools solution providers 2015 Data warehouse automation can provide advantages like source data exploration, warehouse data models, ETL generation, test automation, metadata management, managed deployment, scheduling, change impact analysis and easier maintenance and modification of the data warehouse. More important than the technical features of DWA tools, however, is the ability to deliver projects faster and with less resources.
Views: 62 The Audiopedia
Module 3 - Data Warehouse Design Practices and Methodologies
 
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Sustituido, Cabatana and Rodriguez
Views: 19 Jeph Sustituido
INTRODUCTION TO DATA WAREHOUSING 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 ------------------------------- INTRODUCTION TO DATA WAREHOUSING IN HINDI
Views: 19358 LearnEveryone
Building a Modern Data Architecture
 
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The desire to compete on analytics is driving the adoption of big data and cloud technologies that enable enterprises to inexpensively store and process large volumes of data. From NoSQL and in-memory databases, to Hadoop and Spark, these technologies offer new and distinct capabilities to the world of enterprise data management. The growing challenge of delivering information where and when it is needed requires a modern data architecture with governance, security, speed, and flexibility. Presenters: - Bruce Sandell, Senior Sales Engineer, Alliances at Looker - Danny Sandwell, Senior Product Manager at ERwin, Inc. - Mark Van de Wiel, CTO at HVR
Views: 3276 Looker
Data Warehouse 5 Parallelism
 
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05:15 RAID Examples 09:28 Basic Filegroup Configuration 13:16 Advanced Filegroup Configuration 15:20 Fast Track Configuration Demo 22:20 Query Performance Demo Use NUMA principles to architect Data Warehouse hardware. Data Warehouse Parallelism Disks Groups to RAID Levels to Drives and Mounted Volumes to Data Base Files to FileGroups see following link for more information: http://garrettedmondson.wordpress.com/2013/07/07/performance-tuning-sql-server-parallelism/
Views: 1047 Garrett Edmondson
Data Warehouse - Model, Methodology, Architecture, Framewor
 
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http://learndatavault.com/ What is the difference between Model, Methodology, Architecture and Framework? Get free chapters of Dan's new Business Intelligence and Data Modeling book on the Data Vault Architecture & Methodology. Watch free lessons and bonus materials, ask Dan questions and get answers from the inventor of the Data Vault
Views: 3527 learndatavault
Integrating Salesforce With BI and Data Warehouses
 
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Need to report across combined Salesforce, ERP, and other data? We'll dig into a real-life example using Microsoft SQL Server and ForceAmp.com?s DBAmp to create a bi-directional Database Link to salesforce.com data. Join us and bring your questions and design concerns as we review the integration approaches and the expanded reporting capabilities of this solution.
Views: 6876 Dreamforce Video
Enterprise Data Lake: Architecture Using Big Data Technologies - Bhushan Satpute, Solution Architect
 
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The Data Lake, A Perfect Place for Multi-Structured Data - Bhushan Satpute, Architect, Persistent Systems
Views: 49205 Persistent Systems
TechToks at TokBox - Designing your Data Warehouse
 
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Fast data analysis requires using the right schema design for your data and taking advantage of the performance features in modern data warehouses like Redshift. Tom O'Neill, CTO of Periscope Data, was the speaker of our October TechTok and spoke about designing your data warehouse.
Views: 539 TokBox
Scalable Distributed Design
 
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Recorded on 8 April 2014 at the Riverside Hotel in Durban. Hosted by Chris Tite, entrepreneur, software architect and speaker (http://www.christite.net). Designing scalable distributed systems is not an easy task, it requires a completely different approach to system architecture design. A key consideration in distributed systems is the need to maintain consistency, availability and reliability in the face of system failures. New technologies are at hand to make it easier to implement distributed systems but are no silver bullet when it comes to designing such systems. A key principle of distributed system design is SOA. Implemented correctly SOA reduces unnecessary dependencies that can, over time, creep into large systems and concretises interactions and integrations that should ideally remain flexible. The real practice of SOA reduces and resolves the "corporate arthritis" and can inject flexibility back into your systems, encouraging the reuse of functionality and reducing the total maintenance costs of operations and development. In this session Chris introduced the principle of distributed system design, giving insights that helped the attendees to apply what they learned in a practical way. The session covered; • SOA Architectural patterns. • Introduction to the Service Bus • Hands-on with NServiceBus: An introduction to NServiceBus, setting up the environment, and writing a SOA empowered application with NServiceBus. • Practical examples of Kaleidocode implementations. About the author and presenter, Chris Tite: Chris is a software architect with 20 years experience. He is passionate about quality software and great architecture, while forging the growth of this generation of software developers. Chris holds a B.Sc. Electronic Engineering degree with over 18 years of development experience spanning several platforms and industries. He sports extensive experience with Microsoft tools like ASP.Net, C#.Net, VB.Net and SQL, as well as with ETL and Data Warehousing tools. Chris is a true software professional, well versed with open source tools and languages, including such staples as PHP, Perl, Postgres, and MySQL hosted on Linux. He has a passion for software architecture and processes. Since 2005, Chris has been enthused by Agile development methods, seeing first hand the delight of clients experiencing progressive and effective delivery of a shared vision. Music by Dan-O at http://danosongs.com
Data Modeling and Dimensional Modeling-ERWIN
 
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contact: [email protected] +91 7799689423
Views: 2563 Harry K
Openwest 2014 -  Joshua Tolley - Data warehousing for... fairly intelligent beginners (8)
 
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A proper data warehouse can be a beautiful thing, but there's more to it than slapping a reporting tool in front of a new database server and collecting a paycheck. In order for the new system to live up to all the hype, there are a few important design principles that must be considered from the very beginning. We'll demonstrate some of the power of a functional data warehouse, and discuss proven systems for designing and maintaining them.
Views: 92 Utah Open Source
TDWI San Diego 2013 Keynote Speaker Mark Giesbrecht on Agile Data Warehousing
 
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Visit http://tdwi.org for more information on business intelligence and data warehousing training and education. Agile Data Warehousing: Adoption and Adaptation As Canada's largest and North America's fifth-largest railroad, Canadian National Railways (CN) has been leveraging data related to shipments and logistics, crews and rail asset management, and the numerous back-office processes in a data warehouse environment since the early 1990s. The company wholeheartedly embraced the agile data warehousing philosophy in 2011 as a means to deliver value sooner and address the challenges of uneven user engagement, evolving requirements, and a warehouse with a range of technologies. This keynote presentation will explain the company's journey of ADW adoption and work still to be done, and highlight organizational and process adaptations and how time-to-market is being balanced with warehouse sustainability.
Views: 2025 TDWI
Advanced Data and Dimensional Modeling Course Preview
 
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You can watch a preview of Advanced Data and Dimensional Modeling Course here
Views: 3691 BIWhiz
AAOE Data Warehouse Logistics
 
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Learn more about the AAOE data warehouse at aaoe.net/datawarehouse
Views: 116 AAOE
DW Data Architect
 
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Here’s another HOT job that we are working on this week! Our local, DFW area client is hiring a full-time Data Architect to add to their Data Warehouse team. You will impact the company by: • Designing data architecture frameworks and implementing High quality, complex Data Warehouse and Business Intelligence environments. • Interacting daily with Key Executives, Leaders, and Business Units to build data warehouse structures and BI analytics environments • Collaborating with the Data Warehouse development team to design cohesive solutions • Helping create a strategies, framework, and data architecture for BI Analytics; • If you have over 7+ years of IT experience; 5+ years of high-level data modeling experience in architecture and development; and expertise in Star Schema design, please Contact me! • Feel free to forward this e-mail to anyone who may be of interest. To find out more about this position and other jobs send me your resume to [email protected]
Database Lesson #1 of 8 - Introduction to Databases
 
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Dr. Soper gives an introductory lecture on database technologies. Topics covered include the reasons for using a database, the components of a database system, the elements of a database, the purpose of database management systems (DBMS), and the functions of a database application.
Views: 616655 Dr. Daniel Soper

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