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- Google Cloud Platform offers many types of products and services, such as computing, storage, databases, networking, artificial intelligence (AI), machine learning, security, developer tools, containers, data analytics, cloud management tools, big data and Internet of Things (IoT) solutions.
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Google Cloud products. Browse over 100 products. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage...
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You use a cloud platform when you want the services you present to your users, your customers, or your fellow employees to be an applicationas opposed to a Web site. Maybe you want to help homebuilders estimate the size and structure of the cabinets they need to rebuild a kitchen. Maybe you're analyzing the performance statistics of athletes trying...
Statistics from market analytics firm Statistafor the fourth quarter of 2020 show Google Cloud's share of worldwide cloud-related revenue, among the eight leading cloud service providers, to be stuck at around 9%. Almost five times as many platform and infrastructure accounts are handled by Amazon AWS and Microsoft Azure combined. If you recall the...
Although GCP does offer virtual machine instancesas table stakes for the cloud computing market, this isn't really where Google has opted to compete. As the progenitor of Kubernetes, GCP concentrates most of its efforts towards providing enterprises with the means of deploying and operating containerized workloads.
BigQuery
Google engineers like to say that their official term for "big data" is "data." GCP's tool for applying relational database insights to massive quantities of data is BigQuery. Like Kubernetes, BigQuery was spawned by a tool Google created for its own purposes -- specifically, to perform drill-down queries on its Gmail data stores. That tool was called "Dremel," but for obvious reasons, it couldn't use that brand commercially. For its query model, BigQuery uses standard ANSI SQL, the language...
Cloud Bigtable
Formerly called BigTable, Cloud Bigtable is a highly distributed data system that organizes related data into a multi-dimensional assembly of key/value pairs, based on the large-scale storage system Google created for its own use in storing search indexes. Such an assembly is easier for analytics applications to manage than a very large index for a colossal relational database with multiple tables whose records would have to be joined at query time.
Pub/Sub
Short for "publish-and-subscribe," Pub/Subis a mechanism that replaces the message queues used by middleware during the earlier era of client/server applications. For applications that are designed to cooperate without being explicitly connected ("asynchronously"), Pub/Sub serves as a kind of post office for events, so one application can notify others of their progress or about requests they may have.
Cloud AutoML
Based on recent efforts to automate the process of learning patterns in data without the need to create extra code, Cloud AutoMLis a pre-configured service capable of "ingesting" pre-existing data and employing machine learning models on that data to detect patterns.
TensorFlow Enterprise
Deep learning systems require a class of component called an inference engine, which is capable of analyzing data sets and identifying patterns within them. TensorFlow (actually a separate commercial product) distributes its full-scale Enterprise edition, which incorporates such an engine, through Google Cloud. This way, developers can integrate capabilities such as video scanning, fraud detection, and behavioral prediction, directly into their containerized applications.
Each of GCP's services consumes fundamental resources of cloud computing: processor power, memory, data storage, and connectivity. Like other cloud service providers, GCP charges its customers for the resources these services consume. So whatever you choose to do with GCP, you pay for the resources they consume. BigQuery and BigTable can incur some...
Amazon and Microsoft operate their own cloud platforms, called AWS and Azure, respectively. GCP is their competitor, and although it ranks third among these three in terms of market share and revenue, it is a solid competitor with unique features and services that give it an advantage in certain scenarios. If the Big Three public cloud providers tr...
- Scott Fulton III
- 2 min
Meet your business challenges head on with cloud computing services from Google, including data management, hybrid & multi-cloud, and AI & ML.
Oct 23, 2024 · Get a basic overview of Google Cloud Platform, learn about overall concepts and gain pointers to our resources. This overview is designed to help you understand the overall landscape of Google...
Oct 17, 2024 · Google Cloud offers a free tier and $300 in credits for 90 days to all new users. This is a great way to get started and experiment with what GCP can do without committing financially.
Apr 8, 2019 · Google Cloud, for example, maintains complicated networks that can quickly move data around the world. Keeping information secure, a challenge for businesses, is also easier with the cloud, since encryption is built in. Plus, the huge scale of cloud means it can run apps faster.
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [4]
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