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March 8, 2021
- Cloud Dataproc allows organizations to scale data storage and ensures accessibility without compromising security.
- Cloud Dataproc allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, and it helps organizations interactively analyze data with Spark and Hive.
- Cloud Dataproc allows organizations to transform and enrich data in stream and batch modes.
- Cloud Dataproc allows organizations to ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics.
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March 8, 2021
- TensorFlow
- Cloud Pub/Sub
- Data Warehouse
- Cloud Engine
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March 8, 2021
- Publisher applications can receive messages from a topic.
- Subscriber applications can subscribe to a topic to receive the message when the subscriber is ready.
- Publisher applications can send messages to a subscriber.
- Subscriber applications can send messages on a topic directly to publisher applications.
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March 8, 2021
- Integration
- Ease of use and implementation
- Customization
- Reduces OPEX
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March 8, 2021
- Cloud Dataproc consolidates data marts into datasets and provides the ability to simply manage all datasets.
- Cloud Dataproc supports Spark and can create clusters that scale for speed and mitigate any single point of failure.
- Cloud Dataproc can act as a landing zone for log data at a low cost.
- Cloud Dataproc enables you to convert audio to text by applying neural network models in an easy-to-use API.
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March 8, 2021
- Is a tool for developing and executing a wide range of data processing patterns on very large datasets.
- Is how you retrieve information from a database.
- Is focused on enabling computers to recognize patterns in data—without humans telling the computer how to recognize the patterns.
- Is a service to help capture data and rapidly pass massive numbers of messages between other big data tools.
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March 8, 2021
- Market datasets
- QA datasets
- Training datasets
- Predictive datasets
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March 8, 2021
- The separation of storage and compute.
- The use of queries and containers.
- The configuration of jobs and workflows.
- The absence of management and maintenance.
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March 8, 2021
- “I need access to near real-time reports, even if the data is speculative or sampled.”
- “I wish I could run queries to organize my batch data.”
- “I need to know what customers are doing right now, and I need to find out using my existing Hadoop tools.”
- “I need to transfer my data from my on-premises solutions to the cloud.”
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March 8, 2021
- Table with Data > Query > Database
- Query > Table with Data > Database
- Table with Data > Database > Query
- Query > Database > Table with Data
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