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Big Data & Datawarehousing in AWS

Pragya Keshap answered on February 23, 2023 Popularity 1/10 Helpfulness 1/10

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  • data warehousing
  • data warehousing

  • Big Data & Datawarehousing in AWS

    0

    Service Scenario

    Amazon

    Redshift

    Run complex queries (SQL) against data warehouse - housing structured and unstructured

    data pulled in from a variety of sources

    Amazon EMR Managed Hadoop.

    Large scale data processing with high customization (machine learning, graph analytics)

    Important tools in Hadoop ecosystem are natively supported (Pig, Hive, Spark or Presto)

    Amazon S3 Can be used as a Data Lake

    Lake Formation Makes it easy to set up a secure data lake

    Amazon

    Redshift

    Spectrum

    Run queries directly against S3 without worrying about loading entire data from S3 into a

    data warehouse. Scale compute and storage independently.

    Amazon Athena Quick ad-hoc queries without provisioning a compute cluster (serverless)

    Amazon Redshift Spectrum is recommended if you are executing queries frequently against

    structured data 


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    Contributed on Feb 23 2023
    Pragya Keshap
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