User Rank: Exabyte Executive 2/6/2013 | 7:04:17 PM
Re: The team that sits together... Buying talent is crucial to making these projects successful. An organization should also look for contracting IT that have years of experience in big data or the area of the project to save ramp up time. Skills and team alignment are indeed crucial. Sometimes too much focus on budgeting and objectives can bring challenges causing time delays and more dollars being spent.
Re: The team that sits together... Keep it lean and learn from your mistakes seems to be the only real solution - The variety in data keeps these sets super hard to define and create a plan to suit all.
Re: The team that sits together... Thank you, Saul! The environment at eBay is open floor plan w/o cubicles. The seating is laid out so cross-functional teams are co-located and can communicate as easily as possible. This is a great way to be set up as people feel really comfortable dropping by to chat so this fosters a good sense of team and camaraderie. The downside is, there's some ambient noise from lots of phone calls and conversations -- so a lot of folks wear headphones and listen to music if they need to really focus in and not be distracted. There are also small "focus" rooms that provide a quieter environment for eliminating distractions and noise. I think this type of approach to 'housing' is really well thought out and works great for data delivery teams.
User Rank: Exabyte Executive 2/5/2013 | 3:25:56 PM
Re: The team that sits together... I like the sprint model, and I've always been a proponent of buying talent as needed. I suppose it's fair to say there is no one size fits all model when it comes to a Big Data project, but how can we determine what is the best model to use? Any metrics out there to guide us?
Date: 4/25/2013 At this one-hour webinar, you’ll learn:
• Best-practices for integrating your data into one manageable and results-oriented store
• What different types of data (log files, sensors, video, images) will be needed from your storage and query capabilities
• Approaches to convincing the wider business that data needs to come out of its silos and be unified for maximum use