by Angela Guess
Michael Vizard of IT Business Edge recently argued that many companies have trouble seeing the full Big Data picture. He explains, “A lot of folks tend to think of the management of Hadoop from an IT perspective as a disruptive technology that will wind up replacing all manner of data management systems. In reality, emerging technologies such as Hadoop generally get deployed alongside existing IT investments. As a cost-effective platform for managing massive amounts of unstructured data, Tasso Argyros, co-president of Teradata Aster, says Hadoop provides IT organizations with a platform that allows them to pre-process a huge amount of data. But Hadoop is based on a micro batch-processing architecture that doesn’t scale all that well from a performance perspective or seamlessly support existing SQL-based applications.”
He goes on, “To address that specific issue, Teradata today announced that a new Aster SQL-H offering now offers business analysts a bridge between standard business intelligence (BI) applications and multi-structured Big Data stored in the Hadoop Distributed File Systems (HDFS). Argyros says end users are looking for ways to extend the value of their existing investments in SQL-based analytics applications. By allowing them to query Hadoop data, Aster SQL-H also makes it easier to access the Aster MapReduce platform, which includes over 50 pre-built MapReduce analytical applications and a SQL-MapReduce interface.”
