AWS Kinesis Data Streams vs Kinesis Firehose

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AWS Kinesis Data Streams vs Kinesis Firehose

Kinesis acts as a highly available conduit to stream messages between data producers and data consumers. Data producers can be almost any source of data: system or web log data, social network data, financial trading information, geospatial data, mobile app data, or telemetry from connected IoT devices. Data consumers will typically fall into the category of data processing and storage applications such as Apache Hadoop, Apache Storm, and Amazon Simple Storage Service (S3), and ElasticSearch.

Kinesis data streams – Kinesis data streams is highly customizable and best suited for developers building custom applications or streaming data for specialized needs. However, requires manual scaling and provisioning. Data typically is made available in a stream for 24 hours, but for an additional cost, users can gain data availability for up to seven days.

Kineses firehose – Firehose handles loading data streams directly into AWS products for processing. Scaling is handled automatically, up to gigabytes per second, and allows for batching, encrypting, and compressing. Firehose also allows for streaming to S3, Elasticsearch Service, or Redshift, where data can be copied for processing through additional services.

Kinesis Data Streams vs. Firehose

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AWS Certification Exam Practice Questions

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  1. Your organization needs to ingest a big data stream into their data lake on Amazon S3. The data may stream in at a rate of hundreds of megabytes per second. What AWS service will accomplish the goal with the least amount of management?
    1. Amazon Kinesis Firehose
    2. Amazon Kinesis Streams
    3. Amazon CloudFront
    4. Amazon SQS
  2. Your organization is looking for a solution that can help the business with streaming data several services will require access to read and process the same stream concurrently. What AWS service meets the business requirements?
    1. Amazon Kinesis Firehose
    2. Amazon Kinesis Streams
    3. Amazon CloudFront
    4. Amazon SQS
  3. Your application generates a 1 KB JSON payload that needs to be queued and delivered to EC2 instances for applications. At the end of the day, the application needs to replay the data for the past 24 hours. In the near future, you also need the ability for other multiple EC2 applications to consume the same stream concurrently. What is the best solution for this?
    1. Kinesis Data Streams
    2. Kinesis Firehose
    3. SNS
    4. SQS

2 thoughts on “AWS Kinesis Data Streams vs Kinesis Firehose

  1. A company operates an international business served from a single AWS region. The company wants to expand into a new country. The regulator for that country requires the Data Architect to maintain a log of financial transactions in the country within 24 hours of the product transaction. The production application is latency insensitive. The new country contains another AWS region.

    What is the most cost-effective way to meet this requirement?

    A. Use CloudFormation to replicate the production application to the new region.
    B. Use Amazon CloudFront to serve application content locally in the country; Amazon CloudFront logs will satisfy the requirement.
    C. Continue to serve customers from the existing region while using Amazon Kinesis to stream transaction data to the regulator.
    D. Use Amazon S3 cross-region replication to copy and persist production transaction logs to a bucket in the new countrys region.

    1. D as only the logs need to be maintained in the new country, S3 cross region replication can be used to copy the data to the AWS region within the new Country.

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