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It’s been about 10 years since public cloud offerings like AWS opened up the world of big data analytics. This post examines the top five most useful architectures used for big data stacks to learn the sweet spots of each.

Yes, there’s big money in AWS Certification, which tends to outpace other cloud certification salaries, but there’s more to the cloud than dollars and cents.

Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.

Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.

Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).