database discovery

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Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: mindSHIFT     Published Date: Nov 29, 2007
Have you adjusted your data retention policies and electronic discovery procedures to comply with the new Federal Rules of Civil Procedure (FRCP)? Learn how email archiving can help you with these electronic discovery requirements.
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frcp, secure content, secure data, data protection, database security, compliance, frcp compliance, data governance
    
mindSHIFT
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
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SAS
Published By: IBM Corporation     Published Date: Jun 09, 2011
This Research Brief categorizes databases as a "dangerous and growing security gap" - and offers steps to improve database security across the enterprise.
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ibm, guardium, database security, risk, database discovery, vulnerability scanning, penetration testing, user monitoring
    
IBM Corporation
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