How Universities Use Big Data to Transform Education
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Student performance data is increasingly being captured as part of software-based and online classroom exercises and testing. This data can be augmented with behavioral data captured from sources such as social media, student-professor meeting notes, blogs, student surveys, and so forth to discover new insights to improve student learning. The results transcend traditional IT departments to focus on issues like retention, research, and the delivery of content and courses through new modalities. Hortonworks is partnering with Microsoft to show you how the Hortonworks Data Platform (HDP) running on the Microsoft stack enables you to develop a “single view of a student”.
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How Universities Use Big Data to Transform Education
- 1. HDInsight for Higher Education Karen McGregor Microsoft Canada
- 2. Machine Learning and Analytics Big Data Stores Action People Automated Systems Apps Web Mobile Bots Intelligence Dashboards & Visualizations Cortana Bot Framework Cognitive Services Power BI Information Management Event Hubs Data Catalog Data Factory HDInsight (Hadoop and Spark) Stream Analytics Intelligence Data Lake Analytics Machine Learning SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data Big Data as part of Cortana Intelligence
- 3. *IDC study “The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight” Azure HDInsight Hadoop and Spark as a Service on Azure Fully-managed Hadoop and Spark for the cloud 100% Open Source Hortonworks data platform Clusters up and running in minutes Managed, monitored and supported by Microsoft with the industry’s best SLA Familiar BI tools for analysis, or open source notebooks for interactive data science 63% lower TCO than deploy your own Hadoop on-premises*
- 4. The Business Value and TCO of HDInsight • 418% 5-year ROI • Four month payback period • 63% 5-year lower TCO than on-premises • 66% staff efficiencies than on-premises • Get it at http://aka.ms/hdinsight *IDC study “The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight” RESOURCESACROSSTHESALESCYCLE
- 5. © 2016 Microsoft Corporation. All rights reserved.
- 6. Page6 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Hortonworks: Hadoop for Higher Education Single View of a Student December 2016
- 7. Page7 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Research Schools One Use Case: Genome Sequencing 20,000 Genes 1,000,000,000 variables = 20 Billion Rows of Data Storage of this data is challenging – Complexities of Cancer make for even more data Legacy platforms lack storage and processing power Distributing the data over multiple nodes changes the game
- 8. Page8 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Research Schools Hadoop, Hortonworks Data Platform and HDInsight (H3) Gives individual researchers as much power as a team of researcher The Next Generation Cyber Capability (NGCC) architecture follows President Obama’s “National Cancer Moonshot” guidelines, with a federated framework that encourages data sharing One query against a table with 20 billion rows would time out before it could return results. In Hadoop it returned results in 1-2 minutes
- 9. Page9 © Hortonworks Inc. 2011 – 2014. All Rights Reserved View of the Student A single view leads to student success, satisfaction, and security: • Tailor offerings • Find opportunities for guidance • Provide consistent student experience • Secure campus Financial Aid Guidance Teacher reported info Admission Campus Security
- 10. Page10 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Today’s Data Architectures Inhibit a Single View 1. Data Silos: disparate views of each student 2. Volume Limitations: cannot store and process all student data in the EDW 3. New Data Sources: unable to capture and use new data to complete the view ANALYTICSDATASYSTEMS 3 Clickstream Web & Social Geolocation Sensor & Machine Server Logs Unstructured SOURCES RDBMS CRMCRM Systems of Record Enterprise Data Warehouse 1 App App ODS App Visualizatio n Data Marts 2
- 11. Page11 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Hortonworks Single View Single Data Repository • Resolve student data across repositories • Provide administrators, teachers, counselors, and analysts with a single view of data Optimized Storage • Eliminate unnecessary silos to reduce costs • Store more data about each student Analytical Flexibility • Dynamic schema on read removes limitations of other “single view” applications Hortonworks Clickstream Web & Social Geolocation Sensor & Machine Server Logs Unstructured SOURCES Existing Systems Admissions Finance Security ANALYTICS Data Marts Business Analytics Visualization & Dashboards ANALYTICS Applications Business Analytics Visualization & Dashboards ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° HDFS (Hadoop Distributed File System) YARN: Data Operating System Interactive Real-TimeBatch SearchBatch BatchMP P EDW
- 12. Page12 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Single View Use Cases – Higher Education Acquire New Students • Develop marketing campaigns based on a complete view of student activities • Create incentives and messaging based on student patterns and real-time activity • Modify marketing and advertising using new sources of data Retain Current Students • Personalize student services with a complete view of student activity and preferences • Ensure a consistent student experience across all institutional facilities • Identify “trouble” or “exceptional” students via social media to resolve issues proactively Grow Student Lifetime Value • Analyze new data sources to determine the next best step in a student’s learning path • Identify students to nurture in targeted programs • Offer opportunities to students based on paths made by others with similar profiles
- 13. Page13 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Single View Case Studies – Commercial Sector Acquire New Customers A digital media company improves online ad placement for major retailers by combining new data sources for a single view of online behavior. Retain Current Customers A major retailer combines customer detail across systems to improve personalization, raise the customer experience, and increase customer loyalty. Grow Customer Lifetime Value A major telco infers demographics in family accounts to gain a clearer picture of the entire account and identify cross-sell and up-sell opportunities.
- 14. Page14 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Will I Benefit from a Single View? • How many systems house student data in your environment? • Are you able to bring together student data into a single view? • Are you applying new data sources (clickstream, geolocation, social) to gain a more complete picture of students? • Do different business units handle student data separately? • Do students complain about an inconsistent experience? • How do your admission and retention rates compare to your competition? Financial Aid Guidance Teacher reported info Admission Campus Security
- 15. Page15 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Thank You
Notas do Editor
- Cortana Intelligence delivers an end-to-end platform with an integrated and comprehensive set of tools and services to help you build intelligent applications that let you easily take advantage of Advanced Analytics and intelligence capabilities. First, Cortana Intelligence provides services to bring data in, so that you can analyze it. It provides information management capabilities like Azure Data Factory so that you can pull data from any source (relational DB like SQL or non-relational ones like your Hadoop cluster) in an automated and scheduled way, while performing the necessary data transforms (like setting certain data columns as dates vs. currency etc.). Think ETL (Extract, Transform, Load) in the cloud. Event Hubs does the same for IoT type ingestion of data that streams in from lots of end points. The data brought in then can be persisted in flexible big data storage services like Data Lake Store and Azure SQL Data Warehouse. You can then use a wide range of analytics services from Machine Learning to Azure Data Lake Analytics to Azure HDInsight to Azure Stream Analytics to analyze the data stored in the big data storage. This means you can create analytics services and models specific to your business need (say real time demand forecasting). The resultant analytics services and models created by taking these steps can then be surfaced as interactive dashboards and visualizations via Power BI. These same analytics services and models created can also be integrated into various different UI (web apps or mobile apps or rich client apps), or with Cortana, so end users can naturally interact with them via speech etc., and so that end users can get proactively be notified by Cortana if the analytics model finds a new anomaly (unusual growth in certain product purchases- in the case of real time demand forecasting example given above) or whatever deserves the attention of the business users. Similar integration can occur with Cognitive Services or Bot Framework based applications. At a high level though, Cortana Intelligence capabilities are in three main areas: data, analytics and intelligence. <Transition>: We’re going to dive into each one, starting with data.
- Get it internally at //aka.ms/hdinsight bzw. https://microsoft.sharepoint.com/sites/Infopedia_G01/Pages/MDWHadoop.aspx?ebookNode=Hadoop
- Good Afternoon, My name is Brian Hagan, and I want to thank all of you for joining us today, And also thank Mike for enlightening us with the impressive story around what Arizona State Universtiy is doing regarding the effects of Genomics on Cancer research. This is truly life saving research. Now I’d like to introduce Hortonworks to you from a bit of a different angle. Big Data Platforms such as Hortonworks Data Platform are providing Higher Education with the ability to do more with their data than ever before. We just heard a very compelling story in terms of research. I’d like to discuss a concept that we call the Single View, And in this case, the Single View of the Student.
- TALK TRACK HDP gives each individual researcher as much investigative power as what used to be accomplished by teams of individuals ASU’s Next Genreation Cyber Capability (NGCC) integrates Apache Hadoop within an existing high-performance computing framework and uses Apache Spark for rapid, in-memory analysis of genomic data The NGCC architecture follows the Cancer Moonshot guidelines for precision medicine and collaborative research because it’s built on a federated framework that facilitates data sharing with other scientists around the globe The results have been astounding. One query on 20 billion rows was impossible in a previous system. It never returned a result. In HDP, that same query returned a result in 1-2 minutes. [NEXT SLIDE] SUPPORTING DETAIL Our customer video for ASU: https://youtu.be/-xqSUQN9bjU Our customer case study for ASU: http://hortonworks.com/customers/arizona-state-university/ Press release: http://hortonworks.com/press-releases/arizona-state-university-adopts-hortonworks-data-platform-shed-light-genetic-links-cancer/
- Higher Education Insitutes see the view of a student through many different lenses. This image gives us an example. We see We could add to this retail information from the campus book store We can see this is only a portion of the touch points, or different systems with which a student has interaction. Each pie slice or department has its own data system. It’s own information regarding a student. In many cases, these systems are not connected, and no one has a complete picture of the student, or a Single View of the Student This leads to challenges including student success, satisfaction, and security Think about if a student dropped out, and was readmitted. Do the admissions personnel have access to prior information regarding any information reported by professors? Their prior purchases at the school bookstore? Any information from campus security? All of this information may be available, but it is usually spread out in various places and not accessible from a single application. Developing a single view of the student using Hortonworks Data Platform allows you to do things such as Tailor student offers Find opportunities for guidance Provide a consistent student experience Secure the campus
- Many of today’s higher education data architectures are built on legacy systems. Each application in the system may be great at the single thing it was designed to do. But this also promoted the proliferation of data silos. To solve this problem, Enterpise Data Warehouses became prevalant. The problem now is that the existing data warehouses are becoming expensive to maintain with the increasing volumes of data that we see nowadays. The inability to process data efficiently and or quickly is diminished as the data volumes grow. And as you see here on the bottom right of the diagram, and as we all know, from living in today’s increasingly technological world, There are many new data sources that aren’t easily handled by the legacy systems. They just weren’t designed to capture, store, and process these new types of data. Using legacy data architectures, it is just plain difficult or not possible to join these different systems to form the single view of the student.
- Hortonworks provides a centralized architecture for any application and any data Making it easy to create and maintain a single view of the student. Hortonworks provides a platform that has been designed for legacy systems and modern data sources. We provide Hortonworks Data Flow, which allows you to easily connect to and route data from existing systems and modern data sources, known as the Internet of Things. Or IoT. And we provide Hortonworks Data Platform, which allows you to store any kind of data in its raw form, without having to first spend engineering cycles defining and modeling data structures that may not answer the questions that you need to know. Or developing models that may need to change later. In this way, you won’t loose raw data by filtering it, which typically happens in traditional EDW modeling exercises. With the modern data architecture provided by Hortonworks, you will eliminate data silos. You will be able to store more data and reduce your storage costs. And you have the flexibility to explore the data and model it over and over as questions change, without having to re-import it and filter. Before we move on, let’s talk a little bit about this image…..
- So, here are a few Single View Use Cases as they relate to the student. I think all Higher Education establishments want to attract the best and brightest students that they can. This will increase student satisfaction and success. And it will provide credibility that the University can use when attracting new students. This in turn will lead to greater student retention. Understanding Having the ability to see across different data sets,
- We’re here today to introduce Higher Education to the concept of the Single View of the Student. We know that the Hortonworks Data Architecture supports the idea because we’ve seen it work successfully in the commercial sector. Here are just three examples of the Single View as applied to the customer.
- By this time, you may be asking yourself “Will I benefit from a Single View of a Student?” How do I know this solution will work for me? Here are some questions that you can ask yourself? Do you have data silos today? Is it easy to bring the data together in one application? Or is it impossible? Are you taking advantage of new, modern data sources that students are using today? Is there consistency throughout the system in terms of data governance? Have students provided feedback on better understanding how they can succeed or see their future education paths? Are you attracting and retaining the best students. If you find yourself answering yes to any of these questions, then you will benefit from having a single view of your student. And I’d like Hortonworks to be your guide as you start your journey.