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It’s been about 10 years since public cloud offerings like AWS opened up the world of big data analytics. This post examines the top five most useful architectures used for big data stacks to learn the sweet spots of each.
Cloud computing is a big force in IT today, and it isn't going away. In fact, cloud adoption is going up geometrically, both for end users (think apps on your phone or tablet) as well as for organizations of all sizes. In fact, many smaller organizations may not have any on-premises infrastructure at all, other than networking infrastructure to get connected to the cloud. With this transformation in IT, it behooves all of us in the industry to understand it and adapt or risk being out of a job, like punch card operators.
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.
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). In the first part of this series, we will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
Join Microsoft SQL Server expert Brian Egler for an hour-long webinar covering the key features and updates in the upcoming release of Microsoft SQL Server 2014! You will get a thorough review, along with demonstrations, of how SQL Server 2014 provides substantial improvements in performance, manageability, and availability that will make your job easier.
If you're running SharePoint 2010, learn how SharePoint 2013 is different and what you'll need to learn to deploy it effectively.
One of the many useful features of tunneling is to carry non-IP traffic across an IP network, and this is still the case when dealing with IPv6 traffic. This transition mechanism makes use of a configured tunnel to transport IPv6 over a native IPv4 network, which may consist of two sites or more. Unlike the previous transition mechanisms, tunneling is not monolithic; while the basic principles may be similar, the operations are different. The following chart gives a breakdown of the current, major tunneling types in use, particularly in a Cisco environment:
Many people believe that cloud computing requires server (or desktop) virtualization. But does it? We will look at using virtualization without cloud computing, cloud computing without virtualization, and then look at using both together. In each case, we'll look at where each deployment might be most useful, some use cases for it and some limitations.
While the recent trend towards cloud computing might make it seem like virtualization is new, it has existed in some form for many decades.
Learn about the Amazon Web Services platform, products, and services. Gain on-demand access to compute, storage, and database services without upfront costs.