Turning Hadoop into a High-Performance Enterprise Data Warehouse
Hadoop adopters typically fall into two broad categories - those who see it as a platform for big data innovation, and those who dreamed of it providing the same capabilities as an enterprise data warehouse only at a commodity price point. Big Data Innovators are thriving on the Hadoop platform, and mining and refining data at volumes that were never before possible. However, most of those who expected Hadoop to replace their enterprise data warehouse have been greatly disappointed, and in response have been building complex architectures that typically do not end up meeting their business requirements.
Emma McGrattan, who has worked with data since before it became 'big', will share her unique insights into the Hadoop successes in the enterprise data warehouse space, as well as entertain you with some of the horror stories that she has encountered along the way. Emma will provide you with a checklist of factors to consider before deciding on a specific Big Data strategy, and attempt to provide a lifeboat for some of your floundering Hadoop projects.
Emma McGrattan, SVP of Engineering at Actian, leads the Actian Vector, Ingres and Vector in Hadoop development teams. A leading authority in DBMS technologies, Emma has over twenty-five years of experience managing, supporting and developing a variety of databases from her early days with Ingres to the current cutting-edge Actian Vector in Hadoop.
Emma joined the original Ingres Corp. in 1992 and held a senior leadership role in the Ingres engineering team through a number of acquisitions. Born in Ireland, Emma earned a Bachelor of Electronic Engineering from Dublin City University.
Sandhya Krishnamurthy is a seasoned hybrid-data management professional with over two decades of experience in the IT industry. She is passionate about databases and has worked on products from the mainframe era to the more cutting-edge NoSQL and GPU databases.
Prior to joining Actian Corp, she been a consultant to several Fortune 1000 firms helping them design applications that leverage database technology in the best possible fashion. Her exposure spans several verticals ranging from insurance, finance, technology and database marketing, and she has worked with several other database vendors within the sector.