|By Robert Eve||
|December 6, 2011 09:30 AM EST||
Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization. Along with an overview of data virtualization and its advantages, it presents ten case studies of organizations that have adopted data virtualization to significantly improve business decision making, decrease time-to-solution and reduce costs. This article describes data virtualization adoption at one of the enterprises profiled, Pfizer Inc.
Pfizer Inc. is a biopharmaceutical company that develops, manufactures and markets medicines for both humans and animals. As the world's largest drug manufacturer, Pfizer operates globally with 111,500 employees and a presence in over 100 countries.
Worldwide Pharmaceutical Sciences (PharmSci) is a group of scientists responsible for enabling what drugs Pfizer will bring to market. This group designs, synthesizes and manufactures all drugs that are part of clinical trials and toxicology testing within Pfizer.
For this case study, we interviewed Dr. Michael C. Linhares, Ph.D and Research Fellow. Linhares heads up the Business Information Systems (BIS) team within PharmSci.
BIS is responsible for portfolio and resource management across all of PharmSci's projects. This involves designing, building and supporting systems that deliver data to executive teams and staff to help them make decisions regarding how to allocate available resources - both people and dollars - across the overall portfolio of over 100 projects annually.
The Business Problem
A major challenge for PharmSci is the fact that it has a complex portfolio of projects that is constantly changing.
According to Linhares, "Every week, something new comes up and we need to ensure that the right information is communicated to the right people. The people making decisions about resource allocation need easy and simple methods for obtaining that information. One aspect of this is that some people learn the information first and they need to communicate it to others who are responsible for making decisions based on the information. This creates an information-sharing challenge."
Linhares estimates that there are 80 to 100 information producers within PharmSci and over 1,000 information consumers, including the executives who seek a full picture of the project portfolio - financial data, project data, people data and data about the pharmaceutical compounds themselves.
The Technical Problem
The data required is created in and managed by different applications, each developed by a different team, stored in multiple sources managed by different technologies, and the applications don't talk to each other.
This makes it very difficult to access summary information across all projects. Examples would be identifying how much money is being spent on all projects in the project management system, what the next milestones are and when each will be met, and who is working on each project. "We needed a solution that would allow us to pull all this information together in an agile way."
When Linhares joined PharmSci, there was very little in the way of effective information integration. Most integration was done manually by exporting data from various systems into Excel spreadsheets and then either combining spreadsheets or taking the spreadsheet data and moving it into Access or SQL Server databases. With no real security controls, this approach also lacked scalability and opportunities for reuse, generated multiple copies of the spreadsheets (with various changes), and it often took weeks to build a spreadsheet with only a 50% chance that it would include all of the data required.
To be successful, the solution to these data integration and reporting problems had to provide the following:
- A single, integrated view of all data sources with a common set of naming conventions
- A flexible middle layer that would be independent of both the data sources on the back end and the reporting tools on the front end to facilitate easy change management
- Shared metadata and business rule functionality so there would be a single point for managing and monitoring the solution
- A development platform that supported fast, iterative development and, therefore, continuous process improvement
Three Options Considered
BIS considered three solution architectures to meet their business and technical challenges.
- Traditional Information Factory: The first option was a traditional approach of an integrated, scalable information factory. Pfizer had already implemented information factories in the division using a combination of Informatica ETL tools, Oracle databases and custom-built reporting applications. However, according to Linhares, an information factory "seemed like overkill. We didn't have high volumes of data, nor did we need the inherent complexity of using ETL tools to transform and move data while making sure we included all the detailed data we might possibly ever need over time." Furthermore, because of the way the information factories were managed within Pfizer, change management entailed significant overhead. However, the architectural concepts of an information factory were not going to be ignored in the final solution.
- Single Vendor Stack: A second possible approach was to implement the solution in a single integrated technology (SQL Server with integration services). Major disadvantages were the lack of access to multiple data source types, the need to move data multiple times and the lack of an integrated metadata repository for understanding and organizing the data model.
- Data Virtualization: The third option was to create a federated data virtualization layer that integrated and accessed the underlying data sources through virtual views of the data. By leaving the source data in place, this approach would eliminate the issues inherent in copying and moving all the data (which Linhares described as unnecessary, "non-value added" activities). With the right technology and mix of products, data virtualization would enable PharmSci to migrate from inefficient, off-line spreadmarts to online access to integrated information that could be rapidly tailored and reused to dramatically increase its value to the organization.
The Data Virtualization Solution - Architecture
Pfizer's solution is the PharmSci Portfolio Database (PSPD), a federated data delivery framework implemented with the Composite Data Virtualization Platform.
Data virtualization enables the integration of all PharmSci data sources into a single reporting schema of information that can be accessed by all front-end tools and users. The solution architecture includes the following components:
Trusted Data Sources: There are many sources of data for PSPD; they are geographically dispersed, store data in a variety of formats across a multivendor, heterogeneous data environment. Here are some examples:
- Enterprise Project Management (EPM) is a SQL Server database of WRD's drug portfolio project plans. It includes detailed project schedules and milestones.
- The Global Information Factory (GIF) is an Oracle-based data warehouse of monthly finance data.
- OneSource, a database of corporate-level drug portfolio information is itself a unified set of Composite views across several different sources built by another group within Pfizer.
- Flat files are provided by the Finance Department on actual resource use.
- SharePoint lists are small SharePoint databases accessed using a web service.
- There are other data sources as well, including custom-built systems. As Linhares pointed out, "It doesn't matter what data sources we have. With a virtual approach, we are not limited by the types of data we need to access."
Data Virtualization Layer: The Composite Data Virtualization Platform forms the data virtualization layer that enables the solution to be independent of the data sources and front-end tools. It provides abstracted access to all of the data sources and delivers the data through virtual views. These views effectively present the PharmSci Portfolio Database as subject-specific data marts. The Composite metadata repository manages data lineage and business rules.
Consuming Applications: The flexibility of the platform is demonstrated by the varied reporting applications that use the information in PSPD. Examples include:
- SAP Business Objects for ad hoc queries, standard reports and dashboards.
- TIBCO Spotfire for analytics and access to data through standard presentation reports.
- Web services for parameterized queries.
- Data services to provide data for downstream applications.
- QuickViews (web pages built using DevExpress, a .NET toolkit) for access to live data.
SharePoint Portal: Branded as "InfoSource," this team collaboration web portal is the front-end interface that provides integrated access to PSPD data for all PharmSci customers through the consuming applications described above.
The Data Virtualization Solution - Best Practices
Linhares and team applied a number of data virtualization best practices when implementing the architecture described above.
Two Layers of Abstraction: Linhares stressed the importance of building two clear levels of abstraction into the data virtualization architecture. The first level abstracts Sources (the information abstraction layer), the second consumers (the reporting abstraction layer).
"We built a representation of the data in Composite. If a source is ever changed by the owner, which often happens, we can update the representation in the information abstraction layer quickly. This allows control of all downstream data in one location."
The second level of abstraction is the one between the reporting schema and the front-end reporting tools. A consolidated and integrated set of information is exposed as a single schema. This allows BIS to be system agnostic and support the use of whatever tool is best for the customer. All of the reporting tools use the same reporting abstraction layer; they always get the same answer to the same question because there is only a single source of data.
Consolidated Business Rules: Another key piece of the solution is the ability to include the business rules about how PharmSci manages its data within these abstraction layers. The business rules are embedded in the view definitions and are applied consistently at the same point.
Rapid Application Development Process: Prior to data virtualization, data integration was the slowest step for BIS in fulfilling a customer request for information. Now it's typically the fastest. "For example, a request that came in Friday morning and was completed by that afternoon. The customer's response was an amazed, ‘What do you mean you already have it done?'"
BIS uses a simple development process. The first step is what Linhares calls "triage" - looking at what the customer wants, estimating how long it will take and communicating that to the customer.
BIS does not spend a lot of time documenting the requirements of the solution. Instead, the group first creates a prototype on paper in the form of a simple data flow, then creates the necessary virtual views, gives the customer web access to the views and asks: "Is this what you wanted?"
The customer can then play with the result and respond with any changes or additions needed. BIS arrives at the final solution working with the customer in an iterative process.
Summary of Benefits
Linhares described several major benefits of the data virtualization solution.
The ability to provide integrated data in context: Data virtualization has enabled BIS to replace isolated silos of data with a data delivery platform that integrates different types and sources of data into a comprehensive package of value-added information. Instead of only the team leader and a core group of eight to ten people knowing about a project, the entire organization has access to relevant project information.
The independence of the data virtualization layer: "This is one of the huge benefits of data virtualization. It allows me to manage and monitor everything in one place and it makes change management easy for BIS and transparent to users."
Fast, iterative development environment: The data delivery infrastructure already exists in the data virtualization layer (defined data sources, standard naming conventions, access methods, etc.) so when a request for information comes in, BIS can quickly put it together for the customer.
Elimination of manual effort throughout PharmSci: According to Linhares, people initially resisted going away from their spreadsheets. But once there was a single source for the data and it was all available through InfoSource, there was a dramatic reduction in the need to have meetings to reconcile spreadsheet data among teams.
• • •
Editor's Note: Robert Eve is the co-author, along with Judith R. Davis, of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, the first book published on the topic of data virtualization. The complete Pfizer case study, along with nine others enterprise are available in the book.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
May. 27, 2015 07:30 AM EDT Reads: 5,473
Building low-cost wearable devices can enhance the quality of our lives. In his session at Internet of @ThingsExpo, Sai Yamanoor, Embedded Software Engineer at Altschool, provided an example of putting together a small keychain within a $50 budget that educates the user about the air quality in their surroundings. He also provided examples such as building a wearable device that provides transit or recreational information. He then reviewed the resources available to build wearable devices at home including open source hardware, the raw materials required and the options available to power s...
May. 27, 2015 04:30 AM EDT Reads: 3,956
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
May. 27, 2015 03:00 AM EDT Reads: 5,717
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
May. 27, 2015 02:30 AM EDT Reads: 5,331
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
May. 27, 2015 02:00 AM EDT Reads: 6,111
Collecting data in the field and configuring multitudes of unique devices is a time-consuming, labor-intensive process that can stretch IT resources. Horan & Bird [H&B], Australia’s fifth-largest Solar Panel Installer, wanted to automate sensor data collection and monitoring from its solar panels and integrate the data with its business and marketing systems. After data was collected and structured, two major areas needed to be addressed: improving developer workflows and extending access to a business application to multiple users (multi-tenancy). Docker, a container technology, was used to ...
May. 27, 2015 01:00 AM EDT Reads: 1,898
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
May. 26, 2015 09:00 PM EDT Reads: 4,843
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
May. 26, 2015 06:00 PM EDT Reads: 1,597
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.
May. 26, 2015 05:00 PM EDT Reads: 4,747
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
May. 26, 2015 02:00 PM EDT Reads: 6,375
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue of profound change in the industry.
May. 26, 2015 01:15 PM EDT Reads: 744
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
May. 26, 2015 01:00 PM EDT Reads: 6,867
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
May. 26, 2015 01:00 PM EDT Reads: 4,217
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo, June 9-11, 2015, at the Javits Center in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be
May. 26, 2015 12:15 PM EDT Reads: 1,967
Container frameworks, such as Docker, provide a variety of benefits, including density of deployment across infrastructure, convenience for application developers to push updates with low operational hand-holding, and a fairly well-defined deployment workflow that can be orchestrated. Container frameworks also enable a DevOps approach to application development by cleanly separating concerns between operations and development teams. But running multi-container, multi-server apps with containers is very hard. You have to learn five new and different technologies and best practices (libswarm, sy...
May. 26, 2015 12:00 PM EDT Reads: 1,867
SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data retrieval. They can easily adapt to new data sets and provide access to both structured and unstruc...
May. 26, 2015 12:00 PM EDT Reads: 1,804
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging. In his session at @ThingsExpo, Ryan Bagnulo, Solution Architect / Software Engineer at SOA Software, focused on desi...
May. 26, 2015 11:00 AM EDT Reads: 3,939
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
May. 26, 2015 11:00 AM EDT Reads: 5,633
SYS-CON Events announced today that MetraTech, now part of Ericsson, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. Ericsson is the driving force behind the Networked Society- a world leader in communications infrastructure, software and services. Some 40% of the world’s mobile traffic runs through networks Ericsson has supplied, serving more than 2.5 billion subscribers.
May. 26, 2015 10:15 AM EDT Reads: 1,156
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehe...
May. 26, 2015 10:00 AM EDT Reads: 3,069