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As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.
Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. There is a wide range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
Let's look at 10 ways the cloud will change (and to a large degree already has changed) the world.
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.
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.
Like it or not, Internet of Things (IoT) is upon us. There are a number of factors that will impact its adoption rate, and the inevitable privacy (or lack of) discussions will likely happen sooner than later. This is going to change the world as we know it, in many cases for the better. But we will need to keep an eye on the extent to which it invades our personal lives if it is going to be the positive force it has the potential to be.