- You have the data, but what are you doing with it?
Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead. Create Dataproc clusters quickly and resize them at any time, so you don't have to worry about your data pipelines outgrowing your clusters.
The Apache Beam SDK is an open source programming model for data pipelines. In Google Cloud, you can define a pipeline with an Apache Beam program and then use Dataflow to run your pipeline.
Quiz
Passing score: 75%
1.Which of these is a managed Spark and Hadoop service that lets you benefit from open source data tools for batch processing, querying, streaming, and machine learning?"
(e)Pub/Sub
(e)Dataflow
(e)BigQuery
(x)Dataproc
2.You can use three basic patterns to load data into BigQuery. Which one involves using SQL statements to insert rows into an existing table or to write the results of a query to a table?
Streaming
(e)Batch load
(x)Generated data
3.Which of Google Cloud’s big data managed services is optimized for large-scale batch processing or long-running stream processing of structured and unstructured data?
(e)BigQuery
(x)Dataflow
(e)Pub/Sub
Dataproc
4.Which of these is not a feature of BigQuery?
BigQuery offers a flexible pay-as-you-go pricing model.
(x)BigQuery runs on your on-premises server.
BigQuery provides built-in machine learning features.
BigQuery offers both data storage and analytics.
Vertex AI is Google Cloud's next generation, unified platform for machine learning development and the successor to AI Platform announced at Google I/O in May 2021. By developing machine learning solutions on Vertex AI, you can leverage the latest ML pre-built components and AutoML to significantly enhance development productivity, the ability to scale your workflow and decision making with your data, and accelerate time to value.
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