{"id":29186,"date":"2023-02-05T17:28:22","date_gmt":"2023-02-05T17:28:22","guid":{"rendered":"https:\/\/greaterinsights.in\/?page_id=29186"},"modified":"2023-11-23T08:20:16","modified_gmt":"2023-11-23T08:20:16","slug":"data-warehousing-on-aws","status":"publish","type":"page","link":"https:\/\/greaterinsights.in\/data-warehousing-on-aws\/","title":{"rendered":"Data Warehousing on AWS"},"content":{"rendered":"\t\t
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Data Warehousing on AWS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Live Online & Classroom Enterprise Training Course <\/u><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Become an expert on Data Warehousing.Master the art of data warehousing on aws and resources to ensure smooth operations.Acquire a comprehensive understanding of the optimal methodologies for implementing an enterprise data warehouse through this course\u200b<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Understanding Data Modeling in Data Warehousing<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Course Overview<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data Warehousing on AWS Certification Training teaches how to design, implement, and manage data warehouses using Amazon Web Services (AWS) technologies. It covers topics such as AWS data warehousing solutions, AWS Glue, Amazon Redshift, and Amazon S3. Upon completion of the training, participants should be able to confidently create and operate a data warehouse on AWS.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Database and Data Warehouse Course Details<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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At the End of the Course, Participants will be able to :<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  1. Discuss the core concepts of data warehousing.<\/li>
  2. Discuss the intersection between data warehousing and big data solutions.<\/li>
  3. Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud.<\/li>
  4. Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution.<\/li>
  5. Evaluate approaches and methodologies for designing data warehouses.<\/li>
  6. Identify data sources and determine requirements for accessing the data.<\/li>
  7. Architect the data warehouse.<\/li>
  8. Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in the data warehouse.<\/li>
  9. Identify performance issues, optimize queries, and tune the database for better performance<\/li>
  10. Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket.<\/li>
  11. Use features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.<\/li>
  12. Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Pre-requisite<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    1. Courses taken: AWS Technical Essentials (or equivalent experience with AWS)<\/li>
    2. Familiarity with relational databases and database design concepts<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Course Outline<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      1. Course Introduction<\/li>
      2. Introduction to Data Warehousing<\/li>
      3. Introduction to Amazon Redshift<\/li>
      4. Understanding Amazon Redshift Components and Resources<\/li>
      5. Launching an Amazon Redshift Cluster<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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        1. Choosing a Data Warehousing Approach<\/li>
        2. Identifying Data Sources and Requirements<\/li>
        3. Architecting the Data Warehouse<\/li>
        4. Loading Data into the Data Warehouse<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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          1. Optimizing Queries and Tuning Performance<\/li>
          2. Monitoring and Auditing the Data Warehouse<\/li>
          3. Maintaining the Data Warehouse<\/li>
          4. Analyzing and Visualizing Data<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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