New Paths to Data Integration: Taming Big Data Helps Address Lingering Issues

By Joe McKendrick

Data keeps growing, systems and servers keep sprawling, and users keep clamoring for more real-time access. The result of all this frenzy of activity is pressure for faster, more effective data integration that can deliver more expansive views of information, while still maintaining quality and integrity.

Oleg Komissarov, Senior Vice President at DataArt, summarizes the challenges of big data integration.

“The bottom line is that integration challenges arise whether data is big data or not. Some sources of frustration include “inconsistent data formats, geographical data source distribution and the variable forms of data and their multiple sources,” Oleg Komissarov, senior vice president of DataArt, tells DBTA. “Data systems are often built without a specific data strategy. Building a single informational field in such organizations is challenging. There are no silver bullets that exist allowing you to build data systems providing excellent data quality, governance, and super-fast search capabilities and data availability in combination with low-cost support. It takes a lot of work to do that.”

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