Tapping The Cloud For Real Time Data Analytics

Опубликовано 22 ноября 2016, 17:26

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Businesses are generating more data than ever before.

Doing real time data analytics requires IT infrastructure that often needs to be scaled up quickly and running an on-premise environment in this setting has its limitations.

Organisations often require a massive amount of IT resources to analyse their data and the upfront capital cost can deter them from embarking on these projects.

What’s needed is scalable, agile and secure cloud-based infrastructure at the lowest possible cost so they can spin up servers that support their data analysis projects exactly when they are required. This infrastructure must enable them to create proof-of-concepts quickly and cheaply – to fail fast and move on.

Join this session to:
• Learn how to build a cloud-based data analytics engine that helps your business gain actionable insights from its data
• Learn how to define a big data analysis process and adopt tools – including Amazon MapReduce, Amazon Redshift, and Amazon Kinesis – that you need to get the most value from your information.
• Hear about how to develop new data platforms or move your existing analytics infrastructure to the cloud to gain the insights your business needs to reduce time to market for new products and services, and improve the customer experience.

Who should attend:
IT Directors, IT System Administrators, IT Managers, Business Decision Makers

Speakers:
- Navdeep Manaktala, Head of Mobility Solutions, Amazon Internet Services Pvt Ltd
- Deepak Kagliwal - Director Sales and Marketing, BlazeClan
- Dharmayu Purohit, Head Analytics & IOT
Filip Van Craenenbroeck, CEO, 5aBox