Today we are launching an important new feature for Amazon Aurora.
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S3 sts tech Tools tor Training and Certification US Amazon Aurora Update – Create Cluster from MySQL BackupĪfter potential AWS customers see the benefits of moving to the cloud, they often ask about the best way to migrate their applications and their data, including large amounts of structured information stored in relational databases. Top 10 Performance Tuning Techniques for Amazon RedshiftĪI All amazon Amazon DynamoDB Amazon EMR Amazon Kinesis Amazon Redshift Amazon S3 analysis Analytics app art ATI AWS Best practices Business C cloud data database design Developers DynamoDB ed eff EMR ICE intel intelligence iq iss NCR NES nist ORG Other Partners Performance rat RTI S. Find upcoming classes in our global training schedule or learn more at AWS Training. These classes (and many more) are available through AWS and our Training Partners. Organizations looking to get more out of their data by implementing a Data Warehousing solution or expanding their current Data Warehousing practice are encouraged to sign up. Lab exercises help you get hands-on practice so you can apply what you learn. Additionally, we show you how you can use business intelligence tools to perform analysis on your data.
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We teach you how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. It introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift.
Training and Certification now offers Data Warehousing on AWS, a new training course to help you learn how to leverage the AWS Cloud as a platform for data warehousing solutions.ĭata Warehousing on AWS is a designed for database architects, database administrators, database developers, and data analysts/scientists. Post Syndicated from Janna Pellegrino original Īs our customers look to use their data to drive their missions forward, finding a way to simply and cost-effectively use analytics is increasingly important.
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