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Enterprise Connectors - Social Media Data Mining
 
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This is a replay of the webinar covering using the CData Enterprise Connectors for FireDAC to connect to Twitter and Facebook to mine social media data. The examples are in Delphi, but they could also easily be adaptable for C++Builder too.
SAS® Enterprise Miner™ Software Demo
 
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http://www.sas.com/enterpriseminer SAS Enterprise Miner streamlines data mining to create accurate predictive and descriptive models based on large volumes of enterprisewide data. SAS ENTERPRISE MINER Reveal valuable insights with powerful data mining software. Descriptive and predictive modeling provide insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Looking for benefits? How about: * Build better models with the best tools. * Empower business users. * Improve prediction accuracy. Share reliable results. * Automate model deployment and scoring. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/enterpriseminer SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 97260 SAS Software
Data Mining: Carvana Lemon Car Prediction using SAS Enterprise Miner
 
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Business Case: To predict if the car purchased at the Auction is a bad buy, using car related and purchase related data. Methods: Logistic regression, Decision Trees, Memory Based Reasoning, Neural Networks using SAS Enterprise Miner.
Views: 1568 Sachin's Tech Corner
Data Mining with R and SAS enterprise miner - Part 1
 
01:04:16
Introduction to Data structures in R UCF University
Views: 150 taha mokfi
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.
The Predictive Enterprise: Where data science meets supply chain
 
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The supply chain is one of the largest sources of big data; it carries and produces information that affects almost every other area of the business. Most businesses are not using this potential treasure-trove of information effectively, despite recognizing its value. Companies must progress from using analytics to describe the past and begin using it to inform future business. The predictive supply chain is the essential foundation of a re-imagined predictive enterprise. DHL is a collaborative and strategic partner to its customers that factors in their wider business operations to develop smarter supply chain solutions. To find out more, read the whitepaper, ‘The Predictive Enterprise: Where data science meets supply chain.’ http://www.dhl.com/predictive
Views: 18350 DHL
SEC 1.01 AG and Hewlett Packard Enterprise OEM - Mining a Wealth of Data
 
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At SEC 1.01 AG, information is gold. Through their partnership with Hewlett Packard Enterprise OEM, the Swiss engineering company transforms businesses into data-driven organizations by giving them keen access to their unstructured data.
Views: 353 HPE Technology
Enterprise Data Warehouse Offloading Demo with IBM InfoSphere DataStage
 
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https://ibm.co/2JJXBp2 Building out your data lake? Learn about enterprise data warehouse (EDW) offloading in this informative demo. It will cover the traditional ETL processing when loading an enterprise data warehouse, and then describes the enterprise data lake architecture when you implement EDW offloading with Hadoop with IBM InfoSphere DataStage.
Views: 184 IBM Analytics
ISM Data Mining USF SAS Enterprise Miner Demo
 
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ISM Data Mining USF SAS Enterprise Miner
Views: 142 Jordan Rimert
Introduction to Survival Data Mining
 
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Wendy Czika of SAS presents an introduction to survival data mining.
Views: 3527 SAS Software
Turning Hadoop into a High-Performance Enterprise Data Warehouse
 
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Turning Hadoop into a High-Performance Enterprise Data Warehouse by Emma McGrattan, SVP of Engineering, Actian with Sandy Krishnamurthy, Engineer, Actian Funny pre-event tech-trivia: https://youtu.be/zu0zTdbaAa8 A Database Month event http://www.DBMonth.com/database/hadoop-data-warehouse Hadoop adopters typically fall into two broad categories - those who see it as a platform for big data innovation, and those who dreamed of it providing the same capabilities as an enterprise data warehouse only at a commodity price point. Big Data Innovators are thriving on the Hadoop platform, and mining and refining data at volumes that were never before possible. However, most of those who expected Hadoop to replace their enterprise data warehouse have been greatly disappointed, and in response have been building complex architectures that typically do not end up meeting their business requirements. Emma McGrattan, who has worked with data since before it became 'big', will share her unique insights into the Hadoop successes in the enterprise data warehouse space, as well as entertain you with some of the horror stories that she has encountered along the way. Emma will provide you with a checklist of factors to consider before deciding on a specific Big Data strategy, and attempt to provide a lifeboat for some of your floundering Hadoop projects. Emma K McGrattan, SVP of Engineering, Actian Corp Emma McGrattan, SVP of Engineering at Actian (http://www.actian.com/), leads the Actian Vector, Ingres and Vector in Hadoop development teams. A leading authority in DBMS technologies, Emma has over twenty-five years of experience managing, supporting and developing a variety of databases from her early days with Ingres to the current cutting-edge Actian Vector in Hadoop. Emma joined the original Ingres Corp. in 1992 and held a senior leadership role in the Ingres engineering team through a number of acquisitions. Born in Ireland, Emma earned a Bachelor of Electronic Engineering from Dublin City University. Sandy Krishnamurthy, Engineer, Actian Corp Sandhya Krishnamurthy is a seasoned hybrid-data management professional with over two decades of experience in the IT industry. She is passionate about databases and has worked on products from the mainframe era to the more cutting-edge NoSQL and GPU databases. Prior to joining Actian Corp, she been a consultant to several Fortune 1000 firms helping them design applications that leverage database technology in the best possible fashion. Her exposure spans several verticals ranging from insurance, finance, technology and database marketing, and she has worked with several other database vendors within the sector.
Finding the Gold in Your Data: An Overview of Data Mining
 
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David Dickey presentation at SAS Global Forum 2013
Views: 3406 SAS Software
Enterprise Data Warehouse Whiteboard Explainer Video
 
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The video is an introduction to the function and organizational structure of the St. Michael's Hospital Enterprise Data Warehouse.
Views: 135 LKS-CHART
Using Data Mining in Forecasting Problems
 
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In this presentation, Analytics 2012 keynote speaker, Tim Rey from Dow Chemical Company, shares methodologies for using data mining to get the most value out of time series data.
Views: 8754 SAS Software
Data Mining - SAS Enterprise Miner: How to create a new project and import data
 
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SAS Enterprise Miner: How to create a new project and import data. Not officially associated or endorsed by the module IMAT3603 at DMU.
Views: 515 Jamie Cropley
SQL Server Enterprise Data Mining
 
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Microsoft MVP Mark Tabladillo discusses SQL Server Data Mining (SSDM) for SQL Server Professionals. http://marktab.net Mark spoke at SQL Saturday Silicon Valley in March 2012, organized by Mark Ginnebaugh of DesignMind. http://www.designmind.com/ 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.
Views: 313 DesignMind
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
Data Mining com SAS Enterprise Miner
 
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Como transformar enormes quantidades de dados em informações úteis para as empresas? Nesta apresentação, Marcelo Gavazzi explica como o SAS Enterprise Miner pode ajudar seu negócio nas tomadas de decisão.
Views: 471 SAS Software Brasil
Data Mining Concepts implementation using SAS Enterprise Miner
 
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In this video, I have explained five Data Mining Concepts and implemented them using SAS Enterprise Miner
Cluster Analysis on SAS Enterprise Miner
 
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Please visit http://web.ics.purdue.edu/~jinsuh/analyticspractice-cluster.php for data and sas codes.
Views: 9919 Jinsuh Lee
Getting Started with SAS Enterprise Miner: Exploring Input Data and Replacing Missing Values
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the second in a series of six Getting Started with SAS Enterprise Miner 13.2 videos. This second video focuses on exploring input data and replacing missing values in SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 29408 SAS Software
Secrets of Enterprise Data Mining with Mark Tabladillo - Alaska SQL User Group - 09-11-14
 
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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. Speaker: Mark Tabladillo, SQL MVP Mark is a consultant who provides enterprise data science analytics advice and solutions. He uses Microsoft Azure Machine Learning, Microsoft SQL Server Data Mining, SAS, SPSS, R, and Hadoop (among other tools). He works with Microsoft Business Intelligence (SSAS, SSIS, SSRS, SharePoint, Power BI, .NET). He is a SQL Server MVP and has a research doctorate (PhD) from Georgia Tech. More Info: http://www.alaskasql.org/blog/post/16/9-11-14--Secrets-of-Enterprise-Data-Mining
SAS Visual Data Mining and Machine Learning – Interactive Interface
 
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http://www.sas.com/dmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS® VISUAL DATA MINING AND MACHINE LEARNING An intuitive programming environment. Innovative algorithms. Fast, in-memory processing. SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight. http://www.sas.com/dmml SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 4938 SAS Software
Data Mining - Decision Tree
 
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Use a view to make predictions about bike purchases.
Views: 10948 Mike
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 [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!
Social Analytics in the Enterprise
 
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Social Analytics and Text Mining, Lecture of Mr. Ido Guy, Manager, IBM Haifa Research Lab, "Social Analytics in the Enterprise" Data Mining for Business Intelligence - Bridging the Gap Ben-Gurion University of the Negev
Data Mining - SAS Enterprise Miner - Review
 
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SAS Enterprise Miner provides easy to use suite of structured data mining tools for creating and sharing models, based on the analysis of the given data. SAS Enterprise Miner selects the model best fit for your data by focusing on building the least complex model. We will be testing the Iris Data Set. You can download the data set from UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/iris You can download the data set by clicking on "Download Data Folder". The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. We have sepal length, sepal width, petal width, petal length (all these attributes are measured in centimeter) and 3 classes of flower: Iris Setosa, Iris Virginica and Iris Versicolour. We will be using Petal Width as our Target Variable. Software Used: 1. SAS Enterprise Miner 2. Camtasia 3. Freemake
Views: 24 Mayank Yadav
The Lost Art of Enterprise Data Modeling
 
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We are missing great paintings from Raphael, Rembrandt, Bellini and Van Gogh. Like these great works, Enterprise data modeling & data modeling in general are the forgotten arts of data management but we can’t blame the Axis powers for this. In this Data Management Moment, EWSolutions President David Marco illustrates how companies that embrace enterprise data modeling will have a key fundamental discipline for world-class data management.
Views: 234 EWSolutions
Twitter Text Mining with SAS
 
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This video is an exercise doing Twitter Text mining with SAS. You may get relevant information, codes, and jar files from my website, http://web.ics.purdue.edu/~jinsuh/analyticspractice-twittersas.php.
Views: 238 Jinsuh Lee
Spatial Data Mining II: A Deep Dive into Space-Time Analysis
 
01:16:44
Space and time are inseparable, and integrating the temporal aspect of your data into your spatial analysis leads to powerful discoveries. This workshop will build on the cluster analysis methods discussed in Spatial Data Mining I by presenting advanced techniques for analyzing your data in the context of both space and time. We will cover space-time pattern mining techniques including aggregating your temporal data into a space-time cube, emerging hot spot analysis, local outlier analysis, best practices for visualizing your space-time cube, and strategies for interpreting and sharing your results. Come learn how to use these new techniques to get the most out of your spatiotemporal data.
Views: 6888 Esri Events
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: 80955 Vikram Takkar
SAS Enterprise Miner: Impute, Transform, Regression & Neural Models
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the fourth in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This fourth video demonstrates imputing and transforming data, building a neural network, and building a regression model with SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 39639 SAS Software
Building the World's Largest Enterprise Data Warehouse with BigQuery (Cloud Next '18)
 
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This talk, by one of the founders of the BigQuery team and a founder and current CTO of Looker, will make the case that BigQuery is not just another Enterprise Data Warehouse. It will show how BigQuery's unique properties follow from its technical architecture. The talk will announce new performance, security, cost, and manageability features. It will also show tricks and tips for getting more out of BigQuery. And finally it will show you how to push BigQuery to do things that you never thought were possible in a Data Warehouse. DA215 Event schedule → http://g.co/next18 Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 3221 Google Cloud Platform
Concepts in Data Mining using SAS Enterprise Miner
 
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This video showcases the 4 concepts which I have learned in my coursework.
Views: 17 Bhargav Thanki
Data Mining: SAS Enterprise Miner Tutorial (UCI Mashable)
 
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A tutorial on using SAS Enterprise Miner on UCI Mashable Article Dataset
Views: 705 Jagpreet Sethi
Enterprise Data Management Part 1
 
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This video talks about how to build an enterprise grade data lake using strong data management principles
Views: 170 Selvaraaju *
Introduction to KPMG Process Mining with Microsoft Power BI
 
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KPMG Process Mining visualizes actual business processes with Microsoft Power BI. The processes are created from transactional data and do not need any user modeling. This ensures process analysis without bias and provides full end-to-end process transparency. It aims to help businesses find and present better alternatives to real-life processes, to make them more efficient and controls more effective. The demonstration shows a procurement process from the creation of a purchase request to a payment release that has been analyzed in three specific use cases. Learn more: https://powerbi.microsoft.com/en-us/
Views: 7667 KPMG

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