Google Cloud Platform Business

Cloud Firestore is good for:

Developing mobile and web applications and reducing operational burden with an enterprise-grade database. Organizations that need to store binary data such as images, media serving, and backups. Organizations that are using relational databases at scale and need to store user metadata. Training and testing data that’s used in machine learning to validate data sets.

Within the big data processing model, which description defines where Cloud Pub/Sub falls and the role it plays?

Cloud Pub/Sub ingests event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics. Cloud Pub/Sub stores data and ensures accessibility without compromising security. Cloud Pub/Sub processes queries, running them against a database of data to produce tables of the results. Cloud Pub/Sub analyzes data to capture insights to be used for more …

Within the big data processing model, which description defines where Cloud Pub/Sub falls and the role it plays? Read More »

Likened to a connector, which description best aligns to Cloud Pub/Sub’s role in GCP?

Cloud Pub/Sub takes the existing data processing pipeline and processes it alongside an incoming stream of input data, performs transforms on that data to gain useful or actionable insights, and produces resulting output data. Cloud Pub/Sub helps capture data and rapidly pass massive numbers of messages securely between other Google Cloud Platform big data tools and other …

Likened to a connector, which description best aligns to Cloud Pub/Sub’s role in GCP? Read More »

Which challenge is Cloud IoT designed to address?

Organizations find it difficult to stay ahead when they continuously have to accommodate new data sources and more data without sacrificing efficiency. Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and difficult for organizations. Multiple …

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Which of these statements best describes the kinds of transforms a Cloud Dataflow pipeline can do?

Cloud Dataflow takes a query and runs information from the database through it to produce tables of data organized according to the requirements of the original query. Cloud Dataflow relies on a large database to store and analyze data processing pipelines, performing transforms resulting in predictive analytics that can be leveraged to optimize business decisions. Cloud Dataflow …

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What is Cloud SQL?

Cloud SQL helps organizations capture data and rapidly pass massive amounts of messages securely between other Google Cloud Platform big data tools and other software applications. Compute SQL offers industry-leading local SSD performance and integrates with the other products in the Google Cloud Platform suite. Cloud SQL ingests event streams from anywhere, at any scale, for simple, …

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