Worldwide Locations
25 Results Found
Managing the change of DataStage components can often become a test of wills. Picture fitting a square peg in a round hole, and you might start to get the idea. The complexity of what is required to promote components from one environment to another during the development, testing, and eventual implementation in the production environments, should be and is often a controlled activity.
Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.
With Microsoft SQL Server 2016, you can distribute your data to the cloud using the Stretch Database feature to improve local access while allowing cloud access to large amounts of historical data. You can also provide transparent end-to-end security using Always Encrypted technology and track changes automatically through temporal data. Download this white paper to learn why these features and more make SQL Server 2016 Microsoft's most important release to date.
Business processes are complicated, and mapping them is not a trivial task. Modelling standards give us the tools to model complex processes, but they do not tell us the best way to approach a model or effectively use the tool. In this hour-long webinar, Global Knowledge instructor Rod Fage will guide you through the best way to develop a model, from determining the goal and scope of the process and measuring its effectiveness, to modelling the process in a hierarchical top-down approach, enabling business analyst to continuously validate the model.
With the onset of the Digital Age, IT professionals today are hit with a tsunami of changes! "By 2018, adoption of mobile, social, cloud, analytics will redefine 90% of IT roles" according to IDC 2014 Predictions: CIO Agenda. Large organizations are eliminating silos. Small and medium organizations are outsourcing technology services. Digital natives have entered the workforce. New roles will emerge as new ways of doing business are introduced and as old technology fades away. Today's IT professionals must adapt, and a new set of skills is in order. Join Pranav Shah, Manager of Information Technology and Security at Sony Canada, and Pam Maguire, Business Development Manager, Global Knowledge, for a 60 minute webinar on how to future-proof your IT career in the Digital Age. You will learn about how IT roles are changing, what organizations are looking for, and what you can do now to be ready.
HR and IT managers, if you're losing top talent and having trouble attracting quality candidates, the no. 1 reason is that they don't see a future with you. If you're not leveraging professional development, here are a couple tips to start.
In this informative webinar, you will learn about the popular and overlooked ways organizations and professionals can purchase training to become more resilient.
In this hour-long webinar, Global Knowledge course director Brian Egler will examine key new features of Microsoft SQL Server 2016 that demonstrate how it provides automatic end-to-end security, seamless generation of business analytics and elastic integration of data in the cloud.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).