Join Lynn Langit for an in-depth discussion in this video Logging data to SQL Server RDS, part of Amazon Web Services: Data Services.
- We can see that our RDS SQL Server instance is…nearly ready to go, it's going through a state of backing up…as our MySQL instance did and our endpoint is available.…It should become available in just a minute now.…While we're waiting for this I'm going to go ahead…and show you another feature that I've used with…some of my customers who choose RDS.…Some have regulatory requirements around logging…who has access to the database.…Some of the databases have logs but one of the services…on Amazon that I've used in conjunction with RDS databases…is under Administration and Security.…
That is 'Cloud Trail'.…User activity and change tracking.…Let me go ahead and go in here, basically what it does…is it creates log files on activities around creative find,…AWS Service API calls.…Log files will be stored in S3 and you can then work with…the log files manually or there are third party management…tools that will read the log files.…I'm going to just go ahead and turn this on…and I'm going to create a new bucket and…I'm going to call this 'Demo Log for RDS'.…
Author
Lynn Langit
Released
9/18/2015- Why cloud tools matter
- Storage choices on AWS
- RDBMSs such as Core RDS, Aurora, and Oracle
- Working with semistructured data in NoSQL
- Connecting to data warehouses such as AWS Redshift and Snowflake
- Graph databases and AWS Machine Learning
- Working with Hadoop
- Common data scenarios and architectures
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome56s
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1. Amazon Web Services (AWS)
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Exploring AWS data storage3m 27s
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2. Storage Options on Amazon Web Services
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Exploring EBS and EFS5m 48s
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Other AWS file services2m 59s
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3. About Relational Database Management Systems (RDBMSs)
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Using MySQL Workbench5m 48s
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Introducing Aurora4m 51s
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Exploring RDS with Aurora4m 52s
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Summarizing RDBMS and prices6m 44s
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4. About NoSQL
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Understanding ElastiCache6m 44s
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Understanding DynamoDB11m 49s
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Understanding Kinesis7m 53s
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Using NoSQL with MongoLab6m 13s
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Summarizing NoSQL and prices4m 56s
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5. AWS Data Warehouse and Pipelines
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Working with AWS Redshift3m 11s
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Summarizing data warehousing2m 20s
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Visualizing data with BIME4m 52s
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Using AWS data pipelines6m 33s
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6. Graph Databases and Machine Learning
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Using AWS Machine Learning13m 37s
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7. Hadoop on AWS
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Exploring Hadoop on AWS5m 45s
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8. AWS Data Scenarios and Architectures
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Exploring more resources3m 47s
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Conclusion
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Goodbye3m 24s
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Video: Logging data to SQL Server RDS