This data management course provides decision makers and practitioners from bio-pharma, healthcare, and academia with a comprehensive overview of IT trends in laboratory automation, data management, and systems integration. It highlights the current hot fields in data management, big data, cloud computing and mobile technologies. The short course will bring you up to speed on these cutting-edge technologies. It provides crucial guidance for assessing how these new technologies fit into your laboratory data landscape. The instructor supplies practical guidance and examples for how to apply these techniques to laboratory workflows. Full Course Content:
Databases, XML and Related Technologies
Scientific Data Management
What is big data? What is new about it?
Dealing with large data volumes or varying structure
Data representation: NoSQL and hierarchical data
Use cases and case studies in lab informatics
Data Standards: Structuring the repository content, AnIML format
Mobile use cases for the laboratory
Which workflows can be supported effectively?
Addressing inherent limitations in bandwidth and computing power
Selecting devices and platforms to use
Addressing the "bring your own device" (BYOD) challenge
Lab informatics cloud use cases and case studies
Public vs. Private Cloud, hybrid approaches
Balancing benefits and risks
Return on investment and total cost of ownership considerations
Authentication, security and trust concerns
Legal and regulatory status of cloud environments
Architecting a cloud solution for your organization
Portability between cloud providers: Avoiding vendor lock-in
Who Should Attend:
Individuals looking for an overview of information technology topics relevant to a laboratory environment.
The target audience for this class is laboratory IT decision makers and professionals from pharmaceutical, biotech, clinical companies, and research.
How You Will Benefit From This Course?
Learn about current and upcoming information technology and how to leverage them in a laboratory
Evaluate the suitability of cloud computing and understand its risks and benefits
Become aware of how to integrate mobile devices into your laboratory workflows
Understand how to store, manage, and analyze your data using traditional and big data technologies