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Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise (12 December 2024, Italy Livestream Training)
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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (16 October 2024, Stockholm)
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Smart Infrastructure & Smart Applications for the Smart Business – Infrastructure & Application Performance Monitoring
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Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment
Webinars
Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics
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Live webinar with ![ibslogo2015](https://www.intelligentbusiness.biz/wp-content/uploads/2016/09/IBSLogo2015-300x100.png)
Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics
With Mike Ferguson, Intelligent Business Strategies and Ted Orme, Attunity
Wednesday 21 September 2016 – 10am BST | 11am CEST
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.
In this webinar we’ll look at how enterprises can remain agile and reduce time to value by extending the use of data warehouse automation (DWA) tools to work in a more complex big data analytical environment.
We’ll look specifically at:
- Traditional analytical systems
- How companies can leverage automation to deal with the challenge and complexity of a data warehouse landscape
- How to exploit lower cost, scalable computing platforms, like Hadoop and cloud storage, needed in big data analytics
- How to enable agility and reduce time to value with data warehouse automation solution Attunity Compose
- How to leverage Attunity in new big data and traditional analytical environments
There’ll also be a live Q & A with Mike and Ted.
Can’t make the live webinar? Register anyway to receive a recording!
See Mike Ferguson live in action at the Enterprise Data & BI Conference Europe on 7-10 November in London. There will also be the opportunity to meet Attunity and get your free demo of Compose.