In order to take full advantage of AWS cloud storage, including S3, RDS, and Redshift, as well as benefit from the promise of Big Data analytics, companies must first successfully load data from on-premises sources or move data between AWS regions. This can often be a challenging feat that involves a lot of complex and time-consuming scripting, data transfer, and inaccurate loading.
In this webinar, presented by Chris Hayman, Data Architect at AWS, and Brad Helicher, Attunity's Director of Cloud Business, we will review the benefits and features of the various AWS repositories available, the common challenges of data loading to these repositories, and introduce Attunity CloudBeam as a best practices solution for overcoming the common, but often back-breaking data transfer bottleneck.
You’ll also learn about:
- Common data transfer pitfalls to avoid
- Simplifying and accelerating data loading for Big Data Analytics
- Best practices for maximizing the value of Amazon S3, RDS and Redshift