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Aws Kinesis Data Firehouse
AWS Data Engineering involves leveraging Amazon Web
Services (AWS) to design and manage data infrastructure, pipelines, and
processes. Data engineers on AWS build and maintain systems for collecting,
storing, and processing data, enabling organizations to extract valuable
insights from their data. This role focuses on ensuring data reliability,
scalability, and performance while utilizing AWS services like Amazon S3, AWS
Glue, and Amazon Redshift
to support data analytics and decision-making. Amazon Kinesis Data Firehouse is a
service offered by Amazon Web Services
(AWS) that simplifies and streamlines the process of ingesting, transforming,
and loading (ETL) real-time streaming data into various AWS storage and
analytics services. It is part of the Amazon Kinesis family of services, which
are designed to handle and analyse large volumes of streaming data. Data Analyst Course in
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Here's how Amazon Kinesis
Data Firehouse works
Data Ingestion: You can use
Kinesis Data Firehouse to capture streaming data from various sources, such as Iota
devices, logs, clickstreams, or other data-producing applications. This data is
sent to the service in real-time.
Data Transformation: Kinesis
Data Firehouse allows you to transform the incoming data before it's loaded
into the destination storage. You can use AWS Lambda functions to perform these
transformations, such as data compression, encryption, or data format
conversion. Data Engineer Training in
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Destination Flexibility: Once the
data is transformed, you can choose to load it into various AWS storage and
analytics services, including Amazon S3 (Simple Storage Service), Amazon
Redshift, Amazon Elastic search, and Amazon OpenSearch, among others. This
flexibility allows you to store and analyse data in the services that best suit
your needs.
Automatic Scaling: Kinesis
Data Firehouse automatically scales based on the volume of data you're
ingesting, ensuring that data delivery remains reliable and efficient, even
during high-traffic periods.
Data Durability: The service
offers data durability by storing data redundantly across multiple Availability
Zones, enhancing data resilience and reliability.
Monitoring and Management: AWS Cloud
Watch and other monitoring tools can be used to track the performance and
health of your Kinesis Data Firehouse delivery streams. You can also configure
data retention and archival policies.
Amazon Kinesis Data Firehouse is particularly useful for
organizations that need to handle large volumes of streaming data and want to
quickly and seamlessly load that data into AWS services for real-time analysis
and storage. It eliminates much of the operational overhead and complexity of
managing data ingestion and transformation, allowing businesses to focus on
deriving insights from their data.
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