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- Today, this infrastructure is used by billions of users to use services such as Gmail, YouTube, Google Photos, and Maps.
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Dec 22, 2021 · For the fourth consecutive year, Google Cloud was named a Leader in the Gartner Magic Quadrant for Cloud Infrastructure and Platform Services. The Forrester Wave for AI infrastructure placed...
- Google Cloud latest news and announcements | Google Cloud Blog
Google Cloud announces the top data analytics stories from...
- Solving for What’s Next: 2021 | Google Cloud Blog
Exciting announcements, customer stories, and technical deep...
- Google Cloud latest news and announcements | Google Cloud Blog
Dec 31, 2021 · Google Cloud announces the top data analytics stories from 2021 including the top three trends and lessons they learned from customers this year. Read more. Explore Google Cloud’s Contact...
Apr 8, 2021 · See what’s new in cloud computing at Google, including new sustainability goals, tools to help boost collaboration equity, quick tips to learn cloud, and more.
Oct 12, 2021 · Exciting announcements, customer stories, and technical deep dives headline this year’s Google Cloud Next. Thomas Kurian reveals the latest ways we’re helping customers accelerate their cloud...
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- What Is A Cloud Platform, Really?
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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
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Jul 20, 2021 · June was full of news about new products, technologies and information from Google Cloud to help people connect, build and explore. Here’s a recap of June’s most popular posts on the Google Cloud blog.
May 11, 2021 · Learn about everything from AI & machine learning to productivity & collaboration. As many countries got a glimpse of post-COVID changes for life and work on the horizon, Google Cloud introduced new trainings, features, and products to help you make the most of what the future holds.
