Data Warehouse Automation and Real-time Data - Reducing Time to Value in a Distributed Analytical Environment
The modern distributed landscape is becoming increasingly complex. At the same time, enterprises’ thirst for new data, agility and more complex analytics is also intensifying.
Leading business analyst Mike Ferguson from Intelligent Business Strategies, looks at how enterprises can remain agile and reduce time to value by extending the use of data warehouse automation (DWA) tools to work more complex big data analytical environments.
Read this whitepaper which looks specifically at how:
Companies can leverage automation to deal with the challenge and complexity of a data warehouse landscape
To exploit lower cost, scalable computing platforms, like Hadoop, Kafka and cloud storage, needed in big data analytics
To enable agility and reduce time to value with DWA solution Attunity Compose
To leverage Attunity in new Big Data and traditional analytical environments
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