Amazon Kinesis Data Firehose Overview
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Amazon Kinesis Data Firehose Overview

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@FieryBasilisk

Questions and Answers

Which formats can Amazon Kinesis Data Firehose convert input data to?

  • Apache Parquet and Apache ORC (correct)
  • JSON and XML
  • CSV and TXT
  • HTML and Markdown
  • Amazon Managed Workflows for Apache Airflow is primarily used for converting log files into Apache Parquet format.

    False

    What service can be used to transform input formats like CSV to JSON before using Kinesis Data Firehose?

    AWS Lambda

    Amazon Kinesis Data Firehose delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, and __________.

    <p>Amazon OpenSearch Service</p> Signup and view all the answers

    Match the following services with their primary function:

    <p>Amazon Kinesis Data Firehose = Deliver real-time streaming data AWS Lambda = Transform data formats Amazon S3 = Store data Amazon Redshift = Data warehousing</p> Signup and view all the answers

    Which of the following options would likely involve the least operational overhead?

    <p>Refactoring to use Amazon EMR Serverless</p> Signup and view all the answers

    Using an EC2-based Amazon EMR cluster requires more maintenance than using Amazon EMR Serverless.

    <p>True</p> Signup and view all the answers

    What is the recommended save format for log files in the external Amazon S3 table when using Hive?

    <p>Apache Parquet</p> Signup and view all the answers

    Setting up an external table on Amazon S3 in Hive should have the file format set to __________.

    <p>Apache Parquet</p> Signup and view all the answers

    Match the following options with their corresponding operational characteristics:

    <p>Auto Scaling group of Amazon EC2 instances = High management overhead Amazon EMR on EC2 = Requires operational tasks Amazon EMR Serverless = Minimal management Using manual local storage = Potentially inefficient for scalability</p> Signup and view all the answers

    Study Notes

    Amazon Kinesis Data Firehose Overview

    • Converts input data format from JSON to columnar formats like Apache Parquet or Apache ORC before storing in Amazon S3.
    • Columnar formats save space and enhance query performance compared to row-oriented formats like JSON.

    Transformation of Other Input Formats

    • AWS Lambda can be utilized to transform input formats (e.g., CSV or structured text) to JSON before processing with Kinesis Data Firehose.

    Data Delivery Destinations

    • Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to multiple destinations:
      • Amazon S3
      • Amazon Redshift
      • Amazon OpenSearch Service
      • Amazon OpenSearch Serverless
      • Splunk
      • Custom HTTP endpoints, including third-party services like Datadog, Dynatrace, LogicMonitor, MongoDB, New Relic, Coralogix, and Elastic.
    • Setup includes sending cryptocurrency log files directly to Amazon Kinesis Data Firehose.
    • Configure Kinesis Data Firehose to trigger a Lambda function that converts log files to Apache Parquet format, delivering files to a centralized S3 bucket.

    Incorrect Options Explained

    • Amazon Managed Workflows for Apache Airflow (Amazon MWAA):

      • Primarily an orchestration service, not designed for converting log files to Apache Parquet format.
    • Amazon Kinesis Data Streams with EC2 Instances:

      • Involves maintaining a Kinesis Client Library on an EC2 Auto Scaling group, which requires significant management and upkeep, contrary to the requirement for minimal operational overhead.
    • Apache Hive on Amazon EMR:

      • Using EMR requires maintenance and operational tasks. It is not viable unless it explicitly refers to Amazon EMR Serverless for streamlined management.

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    Description

    This quiz covers Amazon Kinesis Data Firehose and its capabilities in converting input data formats, specifically from JSON to Apache Parquet or ORC. It also discusses the use of AWS Lambda for transforming other formats like CSV to JSON, enhancing data storage efficiency. Test your knowledge about this fully managed service and its applications in data handling.

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