(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment O...Hiram Fleitas León
- TITLE:
Using Machine Learning and Python in SQL Server To Predict The Sentiment
Speaker: Fleitas, Hiram
- ABSTRACT:
In this session, I'm very excited to show you from start to finish how to use Machine Learning to predict a sentiment in real-time with SQL Server (On-Premise).
- AGENDA:
1. Add ML Features
2. Grant Access
3. Config
4. Install Pre-Trained & Open Source ML Models (DNN)
5. Code in Python and T-SQL
6. Python Profiling
7. Real-time scoring
8. Review Sentiment Results
9. Resources
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
Cloud Storage Spring Cleaning: A Treasure HuntSteven Moy
This is a talk by Zach and me on how to analyze your S3 storage access pattern to save storage cost by lifecycle objects at the right time to the right cost tier.
(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment O...Hiram Fleitas León
- TITLE:
Using Machine Learning and Python in SQL Server To Predict The Sentiment
Speaker: Fleitas, Hiram
- ABSTRACT:
In this session, I'm very excited to show you from start to finish how to use Machine Learning to predict a sentiment in real-time with SQL Server (On-Premise).
- AGENDA:
1. Add ML Features
2. Grant Access
3. Config
4. Install Pre-Trained & Open Source ML Models (DNN)
5. Code in Python and T-SQL
6. Python Profiling
7. Real-time scoring
8. Review Sentiment Results
9. Resources
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
Cloud Storage Spring Cleaning: A Treasure HuntSteven Moy
This is a talk by Zach and me on how to analyze your S3 storage access pattern to save storage cost by lifecycle objects at the right time to the right cost tier.
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
How to select a modern data warehouse and get the most out of it?Slim Baltagi
In the first part of this talk, we will give a setup and definition of modern cloud data warehouses as well as outline problems with legacy and on-premise data warehouses.
We will speak to selecting, technically justifying, and practically using modern data warehouses, including criteria for how to pick a cloud data warehouse and where to start, how to use it in an optimum way and use it cost effectively.
In the second part of this talk, we discuss the challenges and where people are not getting their investment. In this business-focused track, we cover how to get business engagement, identifying the business cases/use cases, and how to leverage data as a service and consumption models.
In this presentation, we:
1. Look at the challenges and opportunities of the data era
2. Look at key challenges of the legacy data warehouses such as data diversity, complexity, cost, scalabilily, performance, management, ...
3. Look at how modern data warehouses in the cloud not only overcome most of these challenges but also how some of them bring additional technical innovations and capabilities such as pay as you go cloud-based services, decoupling of storage and compute, scaling up or down, effortless management, native support of semi-structured data ...
4. Show how capabilities brought by modern data warehouses in the cloud, help businesses, either new or existing ones, during the phases of their lifecycle such as launch, growth, maturity and renewal/decline.
5. Share a Near-Real-Time Data Warehousing use case built on Snowflake and give a live demo to showcase ease of use, fast provisioning, continuous data ingestion, support of JSON data ...
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Cloudera, Inc.
SGI has been a leading commercial vendor of Hadoop clusters since 2008. Leveraging SGI's experience with high performance clusters at scale, SGI has delivered individual Hadoop clusters of up to 4000 nodes. Integration, performance, and management all become issues at scale, and Hadoop clusters scale! In this presentation, SGI will discuss representative customer use cases, major design considerations for performance and power optimization, how integrated Hadoop solutions leveraging CDH, SGI Rackable clusters, and SGI Management Center best meet customer needs, and how SGI envisions the needs of enterprise customers evolving as Hadoop continues to move into mainstream adoption.
An overview of Hadoop and Data warehouse from technologies and business viewpoints. The presentation also includes some of my personal observations and suggestions for people who want to join the field Big Data.
Building a Modern Data Architecture by Ben Sharma at Strata + Hadoop World Sa...Zaloni
When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma, thought leader and coauthor of Architecting Data Lakes, offers lessons learned from the field to get you started.
The RNC recently tackled a massive data migration that will help them scale tremendously to support national campaigns at every level of government. Convergence Consulting Group supported the RNC in migrating their data from legacy on prem. systems to a Microsoft Azure Cloud data warehouse. The RNC and its partners can now utilize Microsoft Power BI to expose the data from anywhere with a few simple clicks. See some examples of recent polling data in the presentation. Questions? Contact us at (813) 265-3239.
If you also got the Big Data itch, here is something to ease the pain :-)
Answers to this questions will be available soon (more info in the attached link)
Which Big Data Appliance should YOU use?
(click on the attached link for Poll results)
Appliances are Small and Quick, Right?
Revealing the 6 Types of Big Data Appliances
Uncovering the Main Players
Challenges, Pitfalls, and Winning the Big Data Game
Where is all this leading YOU to?
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
The Pivotal Business Data Lake provides a flexible blueprint to meet your business's future information and analytics needs while avoiding the pitfalls of typical EDW implementations. Pivotal’s products will help you overcome challenges like reconciling corporate and local needs, providing real-time access to all types of data, integrating data from multiple sources and in multiple formats, and supporting ad hoc analysis.
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
How to select a modern data warehouse and get the most out of it?Slim Baltagi
In the first part of this talk, we will give a setup and definition of modern cloud data warehouses as well as outline problems with legacy and on-premise data warehouses.
We will speak to selecting, technically justifying, and practically using modern data warehouses, including criteria for how to pick a cloud data warehouse and where to start, how to use it in an optimum way and use it cost effectively.
In the second part of this talk, we discuss the challenges and where people are not getting their investment. In this business-focused track, we cover how to get business engagement, identifying the business cases/use cases, and how to leverage data as a service and consumption models.
In this presentation, we:
1. Look at the challenges and opportunities of the data era
2. Look at key challenges of the legacy data warehouses such as data diversity, complexity, cost, scalabilily, performance, management, ...
3. Look at how modern data warehouses in the cloud not only overcome most of these challenges but also how some of them bring additional technical innovations and capabilities such as pay as you go cloud-based services, decoupling of storage and compute, scaling up or down, effortless management, native support of semi-structured data ...
4. Show how capabilities brought by modern data warehouses in the cloud, help businesses, either new or existing ones, during the phases of their lifecycle such as launch, growth, maturity and renewal/decline.
5. Share a Near-Real-Time Data Warehousing use case built on Snowflake and give a live demo to showcase ease of use, fast provisioning, continuous data ingestion, support of JSON data ...
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Cloudera, Inc.
SGI has been a leading commercial vendor of Hadoop clusters since 2008. Leveraging SGI's experience with high performance clusters at scale, SGI has delivered individual Hadoop clusters of up to 4000 nodes. Integration, performance, and management all become issues at scale, and Hadoop clusters scale! In this presentation, SGI will discuss representative customer use cases, major design considerations for performance and power optimization, how integrated Hadoop solutions leveraging CDH, SGI Rackable clusters, and SGI Management Center best meet customer needs, and how SGI envisions the needs of enterprise customers evolving as Hadoop continues to move into mainstream adoption.
An overview of Hadoop and Data warehouse from technologies and business viewpoints. The presentation also includes some of my personal observations and suggestions for people who want to join the field Big Data.
Building a Modern Data Architecture by Ben Sharma at Strata + Hadoop World Sa...Zaloni
When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma, thought leader and coauthor of Architecting Data Lakes, offers lessons learned from the field to get you started.
The RNC recently tackled a massive data migration that will help them scale tremendously to support national campaigns at every level of government. Convergence Consulting Group supported the RNC in migrating their data from legacy on prem. systems to a Microsoft Azure Cloud data warehouse. The RNC and its partners can now utilize Microsoft Power BI to expose the data from anywhere with a few simple clicks. See some examples of recent polling data in the presentation. Questions? Contact us at (813) 265-3239.
If you also got the Big Data itch, here is something to ease the pain :-)
Answers to this questions will be available soon (more info in the attached link)
Which Big Data Appliance should YOU use?
(click on the attached link for Poll results)
Appliances are Small and Quick, Right?
Revealing the 6 Types of Big Data Appliances
Uncovering the Main Players
Challenges, Pitfalls, and Winning the Big Data Game
Where is all this leading YOU to?
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
The Pivotal Business Data Lake provides a flexible blueprint to meet your business's future information and analytics needs while avoiding the pitfalls of typical EDW implementations. Pivotal’s products will help you overcome challenges like reconciling corporate and local needs, providing real-time access to all types of data, integrating data from multiple sources and in multiple formats, and supporting ad hoc analysis.
Potential Impacts of Pipeline Development on the Landscape of Hopewell Big Wo...Marcellus Drilling News
A report commissioned by several towns in southeastern Pennsylvania that attempts to make the case against a natural gas pipeline--the Commonwealth Pipeline--from running through the area. Construction of the Commonwealth is suspended indefinitely and a final route was never charted, let alone through the area identified in the report, which is titled, "Important Resources of the Hopewell Big Woods and the Potential Impacts of Pipeline Development on the Landscape." The report is so light on facts that one of the towns that requested it wants to see it expanded, to put "meat on the bones." Lots of pretty pictures though!
「先鋒」談「前衛」,SCMHK的八十年代—訪問馮智活牧師
- 靈恩派教會經驗分享
- 台灣SCM九天的社會運動訓練營
- To see a world in a grain of sand-ASCM 實習分享
- Graduation.Mission.Passion.Reflection.
- 林老師事件的倫理學思考
- 「順服在上掌權者」必須按良心
- 書介
- 從翻譯理解概念:Citizenship就是「公民權責」
- Barter Concert觀後有感
SCMHK newsletter 2013 AUG
Formación sanitaria crítica e independientejavithink
Presentación de un taller realizado en las jornadas SEFSE-AREDA (Badajoz. Septiembre 2016) sobre la importancia y la forma de formar a lxs especialistas sanitarios de forma crítica e independiente
Elaborando Guías de Práctica Clínica innovadoras para el Sistema Nacional de ...GuíaSalud
"Elaborando Guías de Práctica Clínica innovadoras para el Sistema Nacional de Salud (I)" presentación realizada por Javier Gracia San Román, Director del Comité Científico de GuíaSalud en las Jornadas Científicas de GuíaSalud (Madrid, 4 abril 2016)
Dentro de la Jornada Salud y Mujer celebrada el pasado 21 de mayo de 2015, la Dra. Marisa Alija, Ginecóloga del Centro Ginecológico de León y colaboradora del Hospital de la Reina arroja un poco de luz sobre los métodos más eficaces de detección y prevención del cáncer de mama en mujeres.
Fatou jabbie sustainability clean and renewable energy technologies, energy ...Urban Green Council
I have an entrepreneurial spirit and a self-starter that is very passionate about sustainability, renewable energy technologies and energy efficiency in the built environment. Very excited to apply skills across departments and disciplines and my long-term goal is to transition and contribute in the renewable energy technologies like solar, wind or smart energy management and efficiency focusing on due diligence, costing, analysis and sourcing project finance transactions, develop and review financial models that serve as process templates.
Assess and survey existing conditions, develop proposed technical solution, project plan, resource estimates and value proposition; participate in preparation of proposal presentations; present and explain the proposed solution to the customer.
I have the proficiency to demonstrate the required responsibilities in energy modelling and analyzing energy consumption and cost data to identify and correct operational anomalies. Research and develop programs that reduce costs and carbon footprint. I have a great understanding of the legal, technical, political, economic and social aspects of the renewable energy, clean technology and energy efficiency industry.
I have excellent editing and writing skills, data driven, good research and strong analytical skills. I am a team player, data driven, analytical and highly efficient problem solver.
1. Resume of Barbara Zigman Page 1 of 3
Barbara Zigman
5400 S. Park Terrace Ave #19 LL2
Greenwood Village, Colorado 80111
720-339-6039
bzigman@yahoo.com
SUMMARY OF SKILLS:
With 25 years specializing in the telecommunication industry held various management positions encompassing
Business Development, Sales and Marketing, Product Management and Solution Engineering with increasing levels of
responsibility.
Worked as a Senior Manager, Lead Consultant, and Solutions Engineer for several Service Providers, ILECs and
CLECs in defining and implementing marketing and sales initiatives to successfully penetratedomestic and
international market segments. Emphasis on Total Solution Selling of IP networking technologies requiring cross-
functional collaboration with finance, engineering, marketing, and sales for strategic positioning and resource
allocation involving complete life-cycle product management.
Led a Sales Engineering team to support 80 sales peopleselling Cisco and NortelCPE and converged
Voice/Data/Internet solutions including Frame Relay, ATM, SONET, Leased Lines, PRI, Internet, Managed Security
Services and various Internet solutions. In addition, mentored and developed numerous sales teams to attain sales
proficiency in selling complex technical products and services by developing technical sales tools and processes to
simplify and improve sales and market penetration.
TECHNICAL PROFILE:
Networks Fiber Networks: Metro-E/GIG-E and SONET Rings, DWDM (2.5G – 10G), FTTx
PONs and Switched Ethernet, MPLS Private IP, Ultra Long Haul, 802.1q VLAN
Tagging, QoS with CoS prioritization. TDM Network Solutions: MPLS, PIP, VPN,
Frame Relay, ATM, Private Line, PRI Internet: Ethernet (10Mbps – 10Gbps), IDA T1-
DS3, VPN, BGP Multi-homing Wireless:802.11x, Wi-Max (Beta Test)
PBX/VoIP Verizon Business:SIP Trunking (IPT), Hosted IP Centrix, IP Integrated Access (TDM to
IP conversion) Cisco: Call Manager Unified Communications; Nortel: CS1000, BCM50,
BCM 450, Meridia, Taderan Coral, Broadsoft and SONUS VoIP Soft Switches
5/2015 – Present Level 3 Consultant Denver, CO Technical Analyst: Network
Software Development Global Technologies
As a Technical Analyst working for the Network Software Development team within the Global Technologies
Organization at Level 3, my responsibilities are to captureUser Requirements from various cross-
functional teams including Network Engineers, Architects, Product Development, Service Delivery
and Operations to support theProvisioning and Activation's for next generation Networks and
Services.
The Network Platforms requiring my expertise and competency include Alcatel (Nokia) and Juniper devices supporting
Metro Area Networks from theProvider Edge to theCustomer Edge with the handoff to the Core.
Services Supported include Ethernet (EVPL, EPL, VPLS), DDoS Security, Cloud Service Providers (Microsoft,
Amazon), Managed Services, Global Voice, Layer 2 and Layer 3 VPN, and Internet.
In following theAgile Software Development process, I utilized the "CA Rally" Tool to create, track and manage User
Stories to align with Scrum Iteration Planning techniques and to work effectively across functional
teams.
Accomplishments: Created and documented Technical Analysis flows to create “Standard Operating Procedures" by
incorporating "Best Practices" in capturing, translating and communicating softwaredevelopment
initiatives to achieve inefficiencies and productivity gains.
8/2013 – 10/2014 CenturyLink Consultant Denver, CO SRLead IT Systems
Engineer
2. Resume of Barbara Zigman Page 2 of 3
As a consultant and member of theSystems Engineering team, I was the designated lead within theNetwork
Provisioning space for a major $80M initiative to design and implement a Next Generation delivery platform to support
the deployment of MEF Ethernet Services. Working across various functional business teams, it was my responsibility
to gather User Requirements and translate into Validated Requirements that were then hand off to the Development
teams for production.
With my past involvement as an MEF Technical Member understanding Carrier Ethernet 2.0, my skills complimented
this newly formed team of IT Software Development Specialists.
After completing this assignment, I developed a deeper understanding of effectively implementing a foundation for
Network and Service Providers in advancing their Ethernet initiatives for enhanced efficiency and profitability
4/2013 – 8/2013 Comcast (Contractor) Denver, CO/Philadelphia National Sales Engineer
Responsibilities include supportingover 150 Sales Engineers for Ethernet and Hospitality solutions focused on SMB,
Enterprise, and Partner Sales Channel. Working across various levels of theorganization including Product Teams,
Engineering Teams (NETO), Comcast University and Sales Operations to support complexsolutions and new product
offerings.
3/2010 – 12/2012 Reliance Globalcom Denver, CO SeniorProduct Manager
Product Manager responsible for EnterpriseGlobal Ethernet portfolio including Managed Metro Ethernet, Managed
WAN Ethernet, Global VPLS and Managed Premium Internet. Worked across four separate global business units to
integrate networks for seamless interoperability to address CoS, ENNI handoffs, POP integration, Pre Sales Processes,
Post Sales Processes across legacy Yipes!, Vanco, Flag and Reliance Communications (India). Led the ICB Review
Board responsible to review and approvenon-standard solutions.
8/2009 – 3/2010 CCNA Instructor
Leading CCNA Certification classes for several ILECs including AT&T and Qwest Techs and Engineers
2/2007 – 8/2009 Verizon Business Highlands Ranch, CO Sales Engineer
Supported sales initiative targeting high-end medium-sized and enterprise-businesses covering domestic and
international markets working across theentire organization to deliver custom complex design/build solutions.
Responsibilities included determining customer requirements and to design and recommend customized solutions
involving ROI Analysis, Network Capacity Planning, Project Management, Pre-Sales and Post Sales Implementation.
Recognizedas the SME for Ethernet Technologies andVoIP services.
9/2004 – 8/2006 Time Warner Telecom, Inc. Aurora, CO Ethernet Sales Specialist
Worked extensively with theIP and Capacity Planning Engineering teams to design and implement large scale 100%
fiber-based Metro Ethernet and Extended Ethernet for delivery of 100 Mbps - Gig-E and DWDM of 2.5G – 10G IP
solutions over a nationwide MPLS backbone. Also involved as a liaison between theend-customer and CCIE and
TAC engineering teams conducting beta test and criteria planning for various new products and services such as IP
trunking, using a native SIP interface with Cisco Call Manager and Avaya and Wireless collaboration with CH2M Hill.
Achievements: Won corporate Highest Achiever Award selling TWTC on-net buildings. Top producer in the
branch for new account penetration. Made 80% of annual quota 2006 selling a single Internet Access solution
worth $1.65 million.
9/2002 – 9/2004 @Axcess, Inc. Grand Junction, CO President, Network Communications Consultant
As President and co-founder of @Axcess, was responsible for providing consulting services to facilities based ISP’s by
managing business development and marketing efforts to penetratenew markets. Also provided business development
and consulting services to a municipally owned city-widefiber network delivering VoIP, Data, and Internet services to
businesses and residents throughout the community. Lead Architect for the design-and-build of custom fiber based
networks to provide totalVoice, Data, Internet solutions for FTTx and privately owned fiber-based networks.
2/2001 - 7/2002 Sprint E/Solutions Denver, CO E/Solutions Professional Services
Responsible presenting E/Solutions products and services solutions including Managed Hosting, Collocation and
Professional Services to Engineering and C-level executives. This division of Sprint was eliminated.
Achievements: Received Directors Award for outstanding achievement and making a positive contribution to the
success of the team.
9/2000 - 12/2000 NuWave Communications Hood River, OR SRVice President
3. Resume of Barbara Zigman Page 3 of 3
Member of a start-up CLEC Senior Management team responsiblefor building a regional DWDM fiber-based network
throughout thePacific Northwest covering Seattle to Northern California, Idaho and Utah. Worked with Lucent
Engineering and Professional Services teams to identify and implement customized application solutions, life cycle
management and sales initiatives for delivery to end customers. Company lost funding from Lucent during .COM
crash and closed operations.
4/1999 - 9/2000 U S WEST/QWEST Denver, CO Data Manager
Instrumental in developing and implementing the strategic vision of a new data sales channel to expand the small-
medium business revenue base by providing high-end integrated voice and data solutions. Hired, trained and managed a
staff of 30 Data Account Executives, Technical Sales Engineers, Data Application Consultants and CPE (Voice/Data)
Business Specialists.
Achievements: Consistently performed at 218% - 232% of sales objectives every month since launching the channel
and increased CPE equipment sales by 300%. Awarded Top Sales Team in 1999; Placed 1st in Sales
1/1998 - 4/1999 U S WEST Denver, CO Data Account Consultant – Sales Engineer
Supported a sales staff of Sales Executives by providing technical expertise in WAN networking technologies.
Designed and configured complex networking infrastructures with SONET, Frame Relay, ISDN and DSL services.
Provided total end-to-end networking solutions to include router configurations, Internet Access, FireWall Security,
Web Hosting, Disaster Recovery, Redundancy Planning and building Voice Over Frame/IP/ATM and VPNs. Worked
with CCIE and NOC to design network solutions and trouble shooting procedures.
Achievements: Responsible for redesigning and reengineering flexible scalable converged Internet/Voice/Data
Networks to support legacy and IP applications.
Awarded President's Club, a top honor in the organization, for contributing to the bottom-line sales success.
2/1992 - 10/1998 Independent Consultant Denver, CO Consultant/Business Development
Independent Consultant Marketing and Business Development - New Business
Worked on several projects to assist businesses in the start-up phaseinvolving thedevelopment of sales and marketing
plans and strategic positioning of new products and services.
EDUCATION
5/1999 Regis University Denver, CO Masters Degree MBA InternationalBusiness
6/1982 Metropolitan State College Denver, CO Bachelors Degree Computer and Management Science
University of Denver Denver, CO Masters of Telecommunications with a focus on Advance Studies in Leadership.
Degree not completed.
CERTIFICATIONS
Completedand Taught CCNA, CCDA Certification Classes
3/1999 U S WEST Certificate Advanced Data Communications sponsored by U S WEST
3/1998 Cisco Router Configuration andCCDA Training
10/1997 Sun Microsystems Competency 2000 Certification Technical Sun Microsystems computer hardwareand
softwaresolutions
AWARDS AND APPOINTMENTS
Member of the Metro Ethernet Forum
State of Colorado Economic Development – Appointed by theGovernors’ committee to participatein the Rural
Telecommunications Assessment for Economic Development and Sustainability
Southeast Business PartnershipCommitteeMember– Appointed by VP to represent Time Warner Telecom and
promoteFiber Networks to property owners and municipalities throughout theDenver Metro Area
President's Club1998 U S WEST Retail Markets