![]() Big Data represents a massive opportunity for developers. Adelberg says they will need an approach that automates the ETL function at scale. Most organizations are not going to be able to hire armies of developers simply to load data. ![]() But with the advent of Big Data Adelberg says a seminal moment is approaching that will finally force the legacy ETL tools issue. Oracle has been making the case for a more modern approach to ETL for several year now. ![]() But Adelberg says developers can use ODI to target any database environment they choose, which includes support for Big Data platforms such as Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Oracle has optimized its data integration tools for Oracle databases and as of today is now providing tighter integration with Oracle Warehouse Builder tools. Adelberg says that Oracle Data Integrator is not only faster it presents developers with a simple declarative interface that is easy to master. In addition, Oracle also released Oracle GoldenGate 12c, a data integration toolset that it acquired in 2009 that is now tightly integrated with Oracle Data Integrator 12c. To underscore that point Oracle today released Oracle Data Integrator 12c, which takes greater advantage of multicore processors to load data in parallel. According to Brad Adelberg, vice president of development for Oracle, the time has come to put legacy ETL tools aside in favor of a modern Oracle Data Integrator (ODI) technology that is orders of magnitude faster. Simply put the ETL processes and technology they have in place was never designed to handle loading massive amounts of data into an application. ![]() As demand for Big Data applications continues to increase developers are being forced to confront some fundamental issues associated with traditional extract, transform and load (ETL). ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |