Why use Amazon Web Services for data storage? AWS provides big data at a small cost, offering one of the most full-featured and scalable data solutions around. Start here to explore your storage and framework options when working with data services on the Amazon cloud. Your guide, Lynn Langit, a working big data architect, helps you parse through the storage of files, relational data, semistructured data (in NoSQL), data warehousing, graph databases, and Hadoop. Plus, discover how these solutions translate to real-world scenarios involving businesses of different sizes and needs, including startups and enterprise clients.
LEVEL – Intermediate
COURSE TOPICS:
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
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Instructor’s Welcome Note:
– Hi, I’m Lynn Langit and welcome to Amazon Web Services Data Services. In this course we’re going to take a tour through the world of data services available on the Amazon Cloud. We’re going to look at services that include storage of files, relational data, semi-structured data which is often stored in what’s called NoSQL solutions, data warehousing, and Hadoop. As we progress through this course, I’ll include tips and real-world solutions based on my experience working as a big data and cloud architect with customers in various domains.
I’ll often talk about scenarios that include startups or enterprises because I find that these types of customers have different needs and different solutions on the AWS Cloud. I’m really excited to bring you this information and look forward to working with you in this course. Enjoy.
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