Raddison Red Deer
6500 - 67 Street
Red Deer, Alberta
Booking: Please call (403) 342-6567 and request a room on the "MISA Prairies block". The rate is $102 /night plus tax.
Hardening Windows Networks Training – October 23-26, 2018
A hands-on security course that teaches students how to harden, monitor and protect Microsoft Windows-based networks.
A hardening course based on more than 15 years of security assessment and penetration besting experience. This course goes beyond theory and best practices and delivers proven, field-tested solutions for mitigating, monitoring and protecting Microsoft Windows-based
Students will learn in a hands-on environment that resembles a real world network consisting of Windows 2012 Servers, Windows 7 & 10, Exchange, SQL Server, IIS Server, Linux and more. Students will learn effective countermeasures to defend against common attack tools and techniques. Upon completion of the course, students will be able to apply operating system and Active Directory hardening techniques, mitigate legacy software risks and design tolerant networks that are resistant to present and future threats.
On the first day, students are given the opportunity to learn, through hands-on exercises, the most common attack techniques. Digital Boundary Group custom, free and open source tools are used to enumerate and exploit Windows hosts found in our virtual network. Days 2 and 3 focus on attack mitigation using field-proven hardening techniques found in Windows, Active Directory Group Policy and implementation of free mitigation tools published by Microsoft and Oracle.
Students will install and configure a host and network intrusion detection system utilizing Syslog, Snort and Windows Events. Students can export the configuration files for easy deployment in their own networks.
Data Governance as a Foundation of your Data Strategy – October 23 – 26, 2018
Tantus is pleased to be a session host at the October 2018 MISA Prairie Fall Workshops in Red Deer, Alberta.
The establishment of a Data Governance framework is the foundation for how an organization manages its data to ensure quality and to address need. The application of analytics further this by supporting decision-making, mitigating risk, and optimizing resources. During our collaborative session from October 22 to 26, we will explore how a proper framework supported by tools and tactics can bring value to organizational data.
Topics will include:
Data Governance as the Foundation of your Data Strategy
Defining roles and responsibilities in data management is critical to ensure that your data is both valid and useful. In this session, we will discuss and define the roles within Data Governance and demonstrate how those roles will help to boost support for data-based initiatives within the organization. We will discuss the various levels of data maturity and how you can gain new levels one step at a time. Participants will be given a set of tools to help them create a data governance model and roadmap their growth in data maturity, as well as aligning data governance to information management milestones to make governance meaningful and measurable to business.
Accounting for Data: Understanding the Value of your Data
Data as an asset is not a common concept in many organizations. While it may not be difficult to see the value of data, working towards an actual valuation of data is a different story. In this session, we will begin by exploring the value of data as a tool for decision-making, while examine how data is treated compared to other assets in an organization, such as financial, capital assets and human resources. We will introduce emerging methods or valuating data for accounting purposes. Participants will gain access to tools that will allow them to demonstrate the value of the data they collect and will understand the implications this may have on insurance as well as asset management.
Predicting, Planning, and Prioritizing
The Practical value of data is the ability to use it in planning and prioritization. Within any community there is an expectation of service from the municipality. Matching those expectations to service levels is a challenge for any municipality. Being able to anticipate the needs of a dynamic population in order to properly plan services, establish relevant policy, or provide repairs and upgrades is always going to be at the forefront. This session will demonstrate the ability to use data, not only to plan for services but to prioritize need and keep the community informed.
Exploring the Data Landscape: What Can We Learn from Our Neighbours?
The proliferation of data has been the catalyst for creative solutions and innovation in many municipalities. Over the last five years we've seen significant advances in the ways data can guide decision-making with respect to city planning and infrastructure. While it’s impossible to know exactly what the next five years will have in store, we can get a glimpse of the possibilities through many of the smart cities initiatives around the world. Participants at this session will review and discuss case studies on smart cities and will workshop potential ideas based on their unique experience. They will also be given a tool kit on assessing areas for smart cities applications within their own communities.
Advanced Analytics: Understanding What Your Already Have
Today it seems that every technology story has some connection to the advancement of artificial intelligence. But when is complex artificial intelligence or machine learning required as opposed to advanced analytics and robust reporting on data already being collected? In this session we will discuss the difference between artificial intelligence and machine learning, as well as providing tools on how to evaluate when advanced analytics is the solution, or when complex AI is required. Our lens for the discussion will be emerging technologies and applications in several fields including transportation and spatial mapping.
Staffing for the Future: Emerging Skill Sets in Data Services
There has never been a static job description in the Information Technology field. With advances in technology and applications come changes in the workforce with respect to both skills required and experience needed. As advancements continue the landscape will change. The emergence of the data scientist role is but one of several introductions to the IT personnel landscape. In this session participants will be provided with tools to assess their current strengths and gaps in the workplace with respect to information technology and will be given information to help plan their staffing needs for the future.
Additional topics will include a view of records management in a digital environment and the challenges of the virtual office. In addition to the collaborative workshops, Tantus will be bringing in experts to talk about hot topics and emerging issues in data services and analytics.