Enable enterprises to efficiently support all analytics use cases on a single Hadoop cluster.
The problem of data warehouse augmentation in our data-driven age is major preoccupation
that requires streamlined and holistic methodologies and systems that are
flexible, scalable, agile, productive, and cost-effective.
Hadoop for instance offers a cost-effective alternative as a repository of
data that extends and augments traditional data warehouses.
However, augmenting data
warehouses with Hadoop presents a number of challenges such as data ingestion,
incremental synchronization, concurrent interactive access, data retention and
security management, lack of skilled resources and more.
The launch of Dynamic Data Warehousing (DDW) platform can change the way
the enterprise works with Hadoop.
The DDW
platform can:
- Automatically crawls enterprise databases
- Automatically ingests data into Hadoop and keeps it continuously synchronized
- Organize the data into flexible, high performance data warehouses, cubes and other data models to support a multitude of enterprise use-cases
- Support high performance, concurrent and interactive access for users.
