This TDWI Checklist Report takes a look at text analytics and how to get started with this new technology that can help you improve and gain new insight.
Sponsored By Angoss, Lexalytics, SAS
In this issue, you'll find out why big data is the fourth generation of data management and learn how to maximize insight from unstructured data. Plus, our experts look at real-time data warehousing, the future of master data management, data governance, and other timely, trending topics. In addition, the TDWI Best Practices Awards winners are announced.
This TDWI Checklist Report drills into the many technologies and capabilities needed to make operational intelligence possible for a technology team and successful for a business.
Sponsored By Splunk
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
Sponsored By Teradata
This TDWI Checklist Report discusses how organizations can achieve greater agility with data quality projects through adjustments to data stewardship, business processes, and technical development methods. The report also looks at critical success factors for agile
data quality, such as tool features, team structures, self service, data-driven documentation, and data services.
Sponsored By Trillium Software
In this TDWI E-Book, we explore big data’s challenges, opportunities, and common mistakes, as well as the role a unified data architecture plays in this technology environment.
Retooling for the era of big data isn’t a question of starting from scratch. It doesn’t require radically reinventing the data warehouse (DW). Philip Russom, director of data management for TDWI Research, says that what’s needed are “adjustments” to how the DW is structured and managed.
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