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In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.
This Certification Prep Guide provides an overview of the current Google Certified Professional Cloud Architect certification and offers helpful tips that you can use when preparing for your GCP certification exam.
This Certification Prep Guide provides an overview of the current AWS Certified Solutions Architect – Associate certification and offers helpful tips that you can use when preparing for your AWS Architect certification exam.
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.
Yes, there’s big money in AWS Certification, which tends to outpace other cloud certification salaries, but there’s more to the cloud than dollars and cents.
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.
We spoke with Doug Cutting about his role with Cloudera and learned more about Big Data, training options for IT professionals interested in Big Data, and how Cloudera compares to Red Hat.