What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Operational Data Analytics and Insights - Leveraging Bigdata to manage IT infrastructure.
The data gathered from monitoring the IT infrastructure elements like hosts, network, web servers, etc are critical in ensuring smooth and reliable operations of services provided. Storing, analyzing, and delivering actionable insights from such data becomes very difficult and complex when the infrastructure setup is at a large scale as it is in Yahoo!.
The lecture talks about an approach to use Bigdata to manage large scale IT infrastructure.
It is an acknowledged fact that the need to monitor and manage machine data from IT infrastructure elements is critical in guaranteeing service levels of the applications.
As more and more services are offered over the internet, the infrastructure needed to offer the services are becoming largescale, distributed and complex. As the IT infrastructure proliferates across data centers, we hit limitations with traditional solutions to analyze and manage the machine data.
The lecture will focus on the challenges encountered in managing suchlarge scale infrastructures and how Bigdata ecosystem can be used to address the challenges and proactively manage the infrastructure better. The lecture will also talk about the key factors that has to be addressed while building a big data platform for managing operational data. The presenter will also share his experiences in building such a platform at Yahoo!
The lecture would conclude with practical use cases on how Yahoo is using Bigdata to manage and draw insights from its large IT infrastructure.
Girish is a senior technology leader with over fifteen years of experience in building large scale, distributed and highly available systems. He has deep domain expertise and hands on experience in building enterprise class performance monitoring, predictive analysis and Data center automation systems.
In his current role as a Senior Manager in Yahoo!, one of his current initiatives is to build a Data analytics Platform for analyzing and managing operations data. This effort envisions providing a platform to seamlessly collect, store and analyze infrastructure and operational data which are heterogeneous in nature and distributed across the globe.
Prior to Yahoo! Girish worked in senior technical and managerial roles at BMC Software and prior to it at Proactivenet which was successfully acquired by BMC Software. Here he played a key role in building a large scale performance monitoring and predictive analytics platform. He is the co inventor for two patents on the same domain.
Girish is an Engineer by training and an management degree from IIM Bangalore.