Listen to this webinar replay to hear how deploying Hadoop and other MapReduce-based technologies can help to extract greater value from the massive volume of unstructured or semi-structured data such as log, XML, binaries, documents, industry standards and other non-relational data.
The interest in evaluating or deploying Hadoop and other MapReduce-based technologies is higher than ever. One of the key driving factors has been the potential to allow an organization to extract greater value from the massive volume of unstructured or semi-structured data such as log, XML, binaries, documents, industry standards and other non-relational data. Ad-hoc, custom coding approach in managing these types of data is not only inefficient but also is costly and risky as deployment expands.
There is a better alternative – adopting an enterprise approach that combines the unique strengths of technology options. With a purpose-built, enterprise-grade data management infrastructure, your organization can quickly perform high-volume analytics, sentiment analysis and other advanced analytics to uncover new patterns and adjust to changing business conditions.
In this webinar replay, Teradata Aster, Cloudera and Informatica discuss:
- Why you need a new approach to manage unstructured, complex data
- How you can take advantage of the power of MapReduce
- Pitfalls to watch out for when you are architecting for optimum data flows across Big Data technologies
- Use cases and benefits you can expect for the combination of technologies