Author
Lynn Langit
Released
4/6/2020- Benefits of AWS
- File storage with S3, Glacier, EBS, and EFS
- Uploading files to AWS
- Exploring AWS Relational Database Service (RDS)
- Using the RDS Query Editor
- Creating NoSQL databases with AWS DynamoDB
- Creating data warehouses with AWS Redshift
- Creating graph databases with AWS Neptune
- Processing big data with Hadoop, Spark, and AWS EMR
- Analyzing big data with Athena queries
- Preparing and loading data for analytics with AWS Glue
- Setting up a secure data lake with AWS Lake Formation
Skill Level Intermediate
Duration
Views
- [Lynn] Are you building an application? And wondering which type of AWS data services that will work best for your particular application? Have you been considering choosing between sequel or no sequel AWS services? Do you have files or data that you want to move into the AWS Cloud quickly and are unsure how to proceed? In this course, we're going to take a look at AWS data services from file services to structured sequel data services, no sequel data services, unstructured and semi-structured, or specialty services. I'm Lynn Langit. We have lots to cover, so let's get started.
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Introduction
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Use AWS Cloud services1m 21s
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1. AWS Data Services Overview
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Explore AWS data storage3m 27s
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2. Storage and Files with S3 and More
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Explore AWS S35m 51s
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Explore AWS S3 using AWS CLI4m 21s
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Explore AWS Glacier storage4m 47s
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Explore AWS EBS and EFS6m 51s
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3. SQL Databases with RDS
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Explore AWS RDS MySQL8m 28s
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Use RDS query editor3m 8s
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4. NoSQL Databases with DynamoDB and More
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Explore NoSQL options in AWS3m 50s
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Understand AWS ElastiCache6m 58s
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Explore AWS DynamoDB7m 17s
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Explore AWS DocumentDB4m 53s
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5. Data Warehouse and Pipelines with Redshift
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Work with AWS Redshift5m 6s
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6. Graph Databases and Ledgers with Neptune DB or QLDB
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7. Hadoop and Spark with EMR
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8. Data Lake with AWS Services
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Explore AWS Athena3m 11s
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Use AWS Glue for ETL5m 32s
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Conclusion
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Keep learning AWS services1m 59s
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Video: Scalable data solutions on AWS