Data Migration Processes and Tools
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What two factors are primarily considered when deciding between different migration options?

  • Storage capacity and cost
  • Data security and regulatory compliance
  • Data size and network bandwidth (correct)
  • Data format and compatibility

    • How long would it take to transfer 1 TB of data over a 100 Mbps network?

  • 2 minutes
  • 30 hours (correct)
  • 2 days
  • 1 week

    • Which migration service is recommended for smaller datasets?

  • Storage Transfer Appliance
  • gcloud storage command (correct)
  • Cloud Storage Transfer Service
  • Datastream

    • What is the primary function of the "gcloud storage cp" command?

    <p>Copying data from on-premises sources to Cloud Storage (B)</p> Signup and view all the answers

    Which on-premises data storage system is mentioned as a potential source for data migration using the "gcloud storage" command?

    <p>HDFS (A)</p> Signup and view all the answers

    What is the primary advantage of using the "gcloud storage" command for data migration?

    <p>Simplicity and ease of use for smaller to medium-sized transfers (B)</p> Signup and view all the answers

    What is the primary limitation of using the "gcloud storage" command for data migration?

    <p>Inability to handle large datasets efficiently (A)</p> Signup and view all the answers

    What is the primary focus of the "Replication and Migration Architecture" section discussed in the text?

    <p>Data transfer methods and strategies (A)</p> Signup and view all the answers

    What type of data formats can Datastream process changes into for storage?

    <p>AVRO or JSON (B)</p> Signup and view all the answers

    Which component of the Datastream event message provides information about the source table and timestamps?

    <p>Generic metadata (B)</p> Signup and view all the answers

    In the payload of a Datastream event message, what do the key-value pairs represent?

    <p>Column names and their corresponding values (B)</p> Signup and view all the answers

    When does Datastream read a record, as indicated in the event message?

    <p>At the read timestamp indicated in the message (B)</p> Signup and view all the answers

    What does the 'source_timestamp' in a Datastream event message indicate?

    <p>When the record changed on the source (C)</p> Signup and view all the answers

    What is the primary use case for Transfer Appliance?

    <p>Moving massive datasets offline (A)</p> Signup and view all the answers

    Which database types can Datastream replicate into Google Cloud?

    <p>Relational databases only (D)</p> Signup and view all the answers

    What flexibility does Datastream offer in terms of data replication?

    <p>Ability to selectively replicate at schema, table, or column level (A)</p> Signup and view all the answers

    What connectivity options does Datastream provide?

    <p>Public and private connectivity options (A)</p> Signup and view all the answers

    Which of the following best describes the purpose of change data capture in Datastream?

    <p>To replicate historical data and new changes selectively (D)</p> Signup and view all the answers

    What happens after you transfer your data onto a Transfer Appliance?

    <p>You ship it back to Google for processing (A)</p> Signup and view all the answers

    Why might an organization choose to use Transfer Appliance?

    <p>When dealing with massive datasets or limited bandwidth (A)</p> Signup and view all the answers

    What destinations does Datastream support for data landing?

    <p>Cloud Storage or BigQuery (B)</p> Signup and view all the answers

    Which statement accurately describes a capability of Datastream?

    <p>Datastream allows for event-driven data processing. (C)</p> Signup and view all the answers

    What mechanism does Datastream utilize to capture data changes from source databases?

    <p>The source database's write-ahead log (WAL). (D)</p> Signup and view all the answers

    Which databases utilize specific logging mechanisms compatible with Datastream?

    <p>SQL Server relies on transaction logs. (B)</p> Signup and view all the answers

    In the context of Datastream, what is the primary role of Dataflow?

    <p>To process data before loading it into BigQuery. (D)</p> Signup and view all the answers

    Which data format is NOT mentioned as a possible output for event storage in Datastream?

    <p>XML (D)</p> Signup and view all the answers

    What type of architecture does Datastream enable for processing data?

    <p>Event-driven architecture. (C)</p> Signup and view all the answers

    What is a significant use case for Datastream?

    <p>Real-time data replication to BigQuery. (C)</p> Signup and view all the answers

    Which option correctly describes data processing prior to loading into BigQuery via Datastream?

    <p>Custom processing is done through Dataflow. (C)</p> Signup and view all the answers

    What is the primary purpose of Storage Transfer Service?

    <p>To migrate large datasets into Cloud Storage (D)</p> Signup and view all the answers

    Which of the following storage solutions is NOT mentioned as a supported source for Storage Transfer Service?

    <p>Google Drive (B)</p> Signup and view all the answers

    What is a key benefit of using Storage Transfer Service for data migration?

    <p>It allows for scheduled transfers for convenience (C)</p> Signup and view all the answers

    What is the method through which Transfer Appliance operates?

    <p>By sending hardware to the data center for offline data transfer (A)</p> Signup and view all the answers

    Which of the following describes the data transfer speed supported by Storage Transfer Service?

    <p>Up to several tens of Gbps (A)</p> Signup and view all the answers

    What type of environments can Storage Transfer Service work with?

    <p>Multicloud and on-premises environments (C)</p> Signup and view all the answers

    Which characteristics apply specifically to Transfer Appliance?

    <p>Utilizes Google-owned hardware for offline transfers (A)</p> Signup and view all the answers

    What type of data sources can be used with Transfer Appliance?

    <p>On-premises file systems and HDFS (D)</p> Signup and view all the answers

    What is the primary advantage of using Datastream for data replication?

    <p>It provides continuous, online replication of structured data. (C)</p> Signup and view all the answers

    Which option is best suited for transferring more than 1 TB of data online?

    <p>Storage Transfer Service (C)</p> Signup and view all the answers

    In what way does Datastream ensure data type consistency during replication?

    <p>By representing data consistently as decimal during replication. (D)</p> Signup and view all the answers

    Which of the following statements correctly describes the transfer type associated with the Transfer Appliance?

    <p>It is best suited for offline data migrations. (C)</p> Signup and view all the answers

    What limitations does Datastream have regarding data transfer?

    <p>It cannot handle more than 10,000 tables per stream. (A)</p> Signup and view all the answers

    Which method is recommended for smaller, online data transfers?

    <p>gcloud storage (B)</p> Signup and view all the answers

    What is the recommended data range for using Transfer Appliance?

    <p>7 TB, 40 TB (D)</p> Signup and view all the answers

    What type of data formats can be used with the Storage Transfer Service?

    <p>Any data format. (C)</p> Signup and view all the answers

    Study Notes

    Google Cloud Data Replication and Migration

    • Google Cloud provides a suite of tools for data replication and migration
    • Key tools include:
      • gcloud storage command-line tool for smaller, online transfers
      • Storage Transfer Service for larger, online transfers
      • Transfer Appliance for massive offline migrations
      • Datastream for continuous, online replication of structured data (supports batch and streaming)

    Data Replication and Migration Architecture

    • The module reviews the baseline Google Cloud data replication and migration architecture.
    • It covers the options and use cases for the gcloud command-line tool.
    • The functionality and use cases for Storage Transfer Service are explained.
    • Functionality and use cases for the Transfer Appliance are described in detail.
    • Features and deployment of Datastream are also examined.

    Data Migration Scenarios

    • Data can originate from on-premises or multicloud environments (file systems, object stores, HDFS, Relational Databases).
    • Google Cloud offers one-off transfers, scheduled replications, and change data capture.
    • Data is ultimately landed in Cloud Storage or BigQuery.

    Datastream Use Cases

    • Datastream use cases include analytics with database replication into BigQuery and analytics with custom data processing.
    • Datastream supports data processing using an event-driven architecture.
    • Example of Datastream use: database replication and migration using Dataflow templates

    Datastream Process

    • Datastream uses the database's write-ahead log (WAL) to capture and process changes for propagation downstream.
    • Datastream supports different logging mechanisms for various databases, including LogMiner for Oracle, binary log for MySQL, logical decoding for PostgreSQL and transaction logs for SQL Server.
    • Changes are transformed into structured formats (AVRO, JSON) to be stored in Google Cloud.

    Datastream Data Types

    • Datastream uses unified data types to map source to destination data types, for example, Number (Oracle) to Decimal (Datastream)
    • Datastream ensures consistent data types during replication across various database systems.
    • Data types are consistently represented for different databases during replication, enabling smooth integration into destination databases such as BigQuery.

    Choosing Migration Options

    • The ease of migrating data depends heavily on data size and network bandwidth.
    • For smaller data sets, "gcloud storage" or Storage Transfer Service are suitable

    Lab: Datastream: PostgreSQL Replication to BigQuery

    • The lab guides students on using Datastream to replicate data from PostgreSQL to BigQuery.
    • Steps include preparing a Cloud SQL for PostgreSQL instance, importing data, setting up Datastream connection profiles, creating a Datastream stream, initiating replication, and lastly validating replication in BigQuery.

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    Related Documents

    Data Replication and Migration PDF

    Description

    This quiz focuses on essential concepts related to data migration, including key factors to consider, recommended services for different dataset sizes, and specific commands used in Google Cloud. Test your knowledge on migration architecture and the functionality of Datastream in processing data changes.

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