Databases, big data, and analytics -- regardless of the shape of your data resources environment, cloud infrastructure is designed to
contain, move, and use that data to make your development, administration, and business tasks more efficient.
Since the beginning of the cloud era, developerWorks has been illuminating the technical relationship between data and cloud. Here is a
sample of the knowledge we've supplied to make your work in the data cloud more successful:
- Processing large datasets: One of the best tools for large-scale dataset processing in the cloud is Hadoop. Follow
along as Martin Brown explains how to
overcome the challenges and maximize the advantages of a cloud-based Hadoop deployment.
- Database interoperability: Usable data can be found in any type of storage, so it is critical to be able to have all
the data repositories you use be able to communicate. These two articles -- Creating tables, loading data and Handling queries, reporting business
intelligence -- demonstrate database interoperability between Big SQL and HBase.
- Integrating powerful analysis tools: In the example Using R with databases, you
see how to bring the strength of an efficient data-analysis programming language, R, to bear on data that's housed in relational
- The role of security: Data access cannot be mentioned without considerations for the security of that data. developerWorks security site is an excellent place to start to understand
how to provide data security. In this article on machine data analytics, you get a tour of how to deliver drop-in-place safety and security monitors that
are combined with cloud-based data analytics, which make it possible to quickly deploy monitoring in areas without power or
- Hands-on tool and app building: Best of all, developerWorks offers lots of hands-on documentation to show you
how others have built the cloud data application or tool they needed; often, the apps were built in a cloud development environment such as IBM Bluemix. For example:
Visit the developerWorks big data and analytics site for more insight on
the relationship between data resources and the cloud environment.
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