Tekslate.com is the Industry leader in providing Informatica Data Quality Training across the globe. Our online training methodology focus on hands on experience of Informatica Data Quality.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Target readers for this book are all the professionals who are working in Telecom OSS domain or wish to move to OSS domain. Those who already have worked in OSS projects will find this book easier to understand.
Tekslate.com is the Industry leader in providing Informatica Data Quality Training across the globe. Our online training methodology focus on hands on experience of Informatica Data Quality.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Target readers for this book are all the professionals who are working in Telecom OSS domain or wish to move to OSS domain. Those who already have worked in OSS projects will find this book easier to understand.
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
Data Modeling is hotter than ever, according to a number of recent surveys. Part of the appeal of data models lies in their ability to translate complex data concepts in an intuitive, visual way to both business and technical stakeholders. This webinar provides real-world best practices in using Data Modeling for both business and technical teams.
According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture.
This session will:
• Introduce data virtualization and explain how it differs from traditional data integration approaches
• Discuss key patterns and use cases of Data Virtualization
• Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization.
Agenda:
• Introduction & benefits of DV
• Summary & Next Steps
• Q&A
Watch full webinar here: https://goo.gl/EFQNFs
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
Big data kavramı hakkında en temel bilgiler ve örnek big data senaryolarının yer aldığı bir sunumdur. Büyük verinin hangi sektörlerde ve nasıl kullanılabileceğine dair ipuçları da yer alan sunumda 4 adet dikkat çekici video da yer almaktadır.
Yazılarıma göz atmak için: velibahceci.com 'u ziyaret edebilirsiniz.
Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data.
The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision-making processes while moving data from just a company’s by-product to a critical asset within the organization. Check out this and know how to build a strong Governance framework for your organization
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
Data Modeling is hotter than ever, according to a number of recent surveys. Part of the appeal of data models lies in their ability to translate complex data concepts in an intuitive, visual way to both business and technical stakeholders. This webinar provides real-world best practices in using Data Modeling for both business and technical teams.
According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture.
This session will:
• Introduce data virtualization and explain how it differs from traditional data integration approaches
• Discuss key patterns and use cases of Data Virtualization
• Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization.
Agenda:
• Introduction & benefits of DV
• Summary & Next Steps
• Q&A
Watch full webinar here: https://goo.gl/EFQNFs
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
Big data kavramı hakkında en temel bilgiler ve örnek big data senaryolarının yer aldığı bir sunumdur. Büyük verinin hangi sektörlerde ve nasıl kullanılabileceğine dair ipuçları da yer alan sunumda 4 adet dikkat çekici video da yer almaktadır.
Yazılarıma göz atmak için: velibahceci.com 'u ziyaret edebilirsiniz.
Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data.
The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision-making processes while moving data from just a company’s by-product to a critical asset within the organization. Check out this and know how to build a strong Governance framework for your organization
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
การบริหารจัดการระบบ Cloud Computing สำหรับองค์กรธุรกิจ SMEIMC Institute
เอกสารบรรยายงานสัมมนา Cloud Computing
New generation of SMEs Management for ASEAN Economic Community (AEC) by using Cloud Computing Technology วันเสาร์ที่ 28 กุมภาพันธ์ 2558 เวลา 12.30 – 15.45น.
ณ โรงแรม The Emerald Hotel-Bangkok
อินเทอร์เน็ตของสรรพสิ่ง ตอนที่ 1 - Internet of things part i maruay songtanin
อินเทอร์เน็ตของสรรพสิ่ง
อินเทอร์เน็ตของสรรพสิ่ง (Internet of Things: IoT)
คือเครือข่ายของวัตถุทางกายภาพ (อุปกรณ์ ยานพาหนะ อาคาร และอื่น ๆ) ที่มีการฝังอุปกรณ์อิเล็กทรอนิกส์ ซอฟแวร์ เซ็นเซอร์ และมีการเชื่อมต่อกับเครือข่าย ทำให้วัตถุเหล่านี้ สามารถเก็บรวบรวม และแลกเปลี่ยนข้อมูลได้
IoT เป็นการเชื่อมต่อขั้นสูงของ อุปกรณ์ ระบบ และบริการ ที่นอกเหนือไปจากการสื่อสารระหว่างเครื่อง (machine-to-machine: M2M) และครอบคลุมความหลากหลายของ protocols, domains, และ applications
ผู้เชี่ยวชาญคาดว่า IoT จะมีในวัตถุเกือบ 50,000 ล้านชิ้น (50 billion objects) ในปี ค.ศ. 2020
Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
My talk at SEC's Fintech Forum (Smart Devices as Fintech Enablers) January 18, 2016
สไลด์ประกอบการบรรยายที่สำนักงาน กลต. ในงาน Fintech Forum (Smart Devices as Fintech Enablers) 18 มกราคม 2560
Emerging Trends and Technologies in Education
: Ubiquitous learning environments, Mobile Apps and Applications
4 May 2015
TOURISM-HOTEL AND HOSPITALITY INCUBATION CNETER, Ubon Ratchathani
Assistant Professor Panita Wannapiroon, Ph.D
Director of Innovation and Technology Management Research Center
STRI, King Mongkut's University of Technology North Bangkok
ตามโครงการความร่วมมือทางวิชาการระหว่าง
ศูนย์วิจัยการจัดการนวัตกรรมและเทคโนโลยี มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ
กับ
ชมรมครูเทคโนโลยีการศึกษา สำนักงานคณะกรรมการการอาชีวศึกษา กระทรวงศึกษาธิการ
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