Creating and Populating a Bigtable Instance GSP1054

Описание: Overview
Bigtable is Google's fully managed, scalable NoSQL database service. Bigtable is ideal for storing large amounts of data in a key-value store and for use cases such as personalization, ad tech, financial tech, digital media, and Internet of Things (IoT). Bigtable supports high read and write throughput at low latency for fast access to large amounts of data for processing and analytics.

For personalization use cases, Bigtable can handle both high writes to store users' interactions with online products and high reads to provide these interactions to models that produce personalized recommendations.

In this lab, you use the Google Cloud Console to create a Bigtable instance with a table to store user interactions with products. Then, you use a Dataflow template to populate the table from pre-generated data files on Cloud Storage. After the Dataflow job has finished, you verify that the table has been successfully populated with data and then complete the lab by deleting the Bigtable data.

Objectives
In this lab, you learn how to create a Bigtable instance and load data from Cloud Storage without writing any code.
Create a Bigtable instance and a Bigtable table with column families.
Use a Dataflow template to load SequenceFile files from Cloud Storage into Bigtable.
Verify the data loaded into Bigtable.
Delete the Bigtable table and instance.
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