Date: Wednesday, June 20, 2018
Time: 12:00 PM Eastern Daylight Time
Duration: 1 hour
Today’s IT faces a flood of new data streams, from eCommerce, mobile devices, social media, IoT, and other new technologies. To analyze the resulting huge datasets, enterprises need more powerful tools and database management systems.
Database technologies fall into two main categories: SQL and NoSQL, with SQL being the familiar relational databases used every day by IT. In the world of big data, where incoming information is not organized as nice, neat rows and columns, SQL is too slow and unwieldy to provide timely processing. The drawbacks of SQL databases led to the development of NoSQL databases, which are better suited to handle very large datasets.
NoSQL databases can process unstructured data, since there is no predefined scheme for the database. It builds its schema on-the-fly. In addition, NoSQL can use parallel processing across dozens or thousands of cloud-based CPUs to extract meaningful results quickly.
In this webcast, you’ll learn:
- Different types of NoSQL databases and criteria for choosing between them
- How dynamic schemes are defined
- Methods for scaling up storage and processing
- The implications of big data for IT resilience and disaster recovery
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Mel Beckman is a senior contributing technical editor for ITPro Today. He has built two regional Internet service providers and is currently president of Beckman Software Engineering, a technical consultancy specializing in large-scale, high-bandwidth networks. His past clients include Apple Computer, the City and County of Santa Barbara, DuPont Displays, IBM, Loral Federal Systems, United Airlines, the US Department of Agriculture, and the US Department of Energy. Mel has presented seminars on computer programming and network technology throughout the United States, Europe, and Asia.
Lisa Waugh, Senior Product Manager at IDERA Software