#BigDataMgmt chat: Hybrid data architecture
The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a hybrid architecture, and how can you determine is this is an IT direction you should take?
These are some of the issues we will examine in this #bigdatamgmt chat titled, “Hybrid Data Architecture: The Future of Big Data?” Our special guests for the chat are Shawn Rogers, vice president of research - business intelligence at EMA; David Birmingham, senior principal consultant at Brightlight Consulting; and Nancy Hensley, IBM director of strategy & marketing, database software. Also joining will be IBM subject matter experts James Kobielus, big data evangelist at IBM.
You can follow along, and join the discussion, using the hashtag #BigDataMgmt. Here are the questions we’ll be discussing as well as reference articles to help inspire the conversation on Wednesday, February 5, 12:00 p.m. EST.
- What is a hybrid big data architecture?
- What trends and requirements are driving adoption of hybrid big data architectures?
- What do you consider to be the biggest advantages of hybrid architectures?
- What are the challenges of building, optimizing and managing hybrid big data architectures?
- What are the most common hybrid deployments?
- How does cloud fit in?
- What is your view of that statement "hybrid architectures are the future of big data?"
- How should an organization go about evaluating whether a hybrid architecture is right for them?
#BigDataMgmt reference articles
- Integrated Systems and Streamlined Practices Propel New Responsive IT Organizations—Forrester white paper
- "The Next Big 'H' in Big Data: Hybrid Architectures"—James Kobielus blog post
Shawn Rogers (@shawnrog) is an internationally recognized strategist, thought leader, speaker and author specializing in business intelligence, analytics, big data, cloud and social media technologies. In 2004, he co-founded the BeyeNETWORK. Currently, he is Vice President of Research for business intelligence at Enterprise Management Associates.
David Birmingham (@enzeevoice) is Senior Principal with Brightlight Consulting, where he focuses on solutions using data warehousing appliances. David, an IBM Champion, has authored two books: Netezza Underground and Netezza Transformation, both available on Amazon.com. He has more than 25 years of experience in very-large-scale solution deployment.
Nancy Hensley (@nancykoppdw) is director of strategy and marketing for database software at IBM. She has more than 20 years of experience in business intelligence and data warehousing, with roles that span from being the end user in an IT operations center to a consultant on international IT projects to her current role overseeing product strategy.
As IBM's big data evangelist, James Kobielus (@jameskobielus) is IBM senior program director, Product Marketing, Big Data & Analytics solutions. He is an industry veteran, a popular speaker and social media participant as well as a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management and next best action technologies.
What is #BigDataMgmt chat?
#BigDataMgmt chat is a weekly conversation every Wednesday at 12:00 p.m. ET on Twitter. Each week we discuss a different topic surrounding big data management.
How do you join?
If you use a Twitter client like Tweetdeck or HootSuite, create a search column for the term #BigDataMgmt. Then, as participants tweet with the #BigDataMgmt hashtag, those tweets will appear in your column. Or you can follow with Twubs (http://twubs.com/bigdatamgmt) and it automatically adds the #BigDataMgmt hashtag.
How do you participate?
Just jump right in! Review the discussion questions posted in advance so you can prepare your thoughts and answers. When the question is posed, begin your response with A1: for question 1 and A2: for question 2, etc. This makes it easier to follow the conversation throughout the chat. No answer is wrong! We look forward to seeing you at the #BigDataMgmt water cooler hosted by @IBMbigdata.