TDWI Checklist Report Helps Enterprises Transition to In-Memory Computing
New report from TDWI examines six steps organizations can take to prepare for in-memory computing.
SEATTLE, WA, August 18, 2014—TDWI Research has released its newest Checklist Report, Preparing Your Organization for In-Memory Computing. The report details six steps organizations can take to prepare for moving to in-memory computing.
In-memory computing significantly improves application performance and radically simplifies IT infrastructure. Benefits to users and IT include lower total cost of operations, improved decisions (thanks to improved data consistency and quality), rapid responsiveness to user needs, and simplified IT management.
TDWI instructor David Loshin, the author of the report, explains that in-memory database management systems promise a balance between accelerated application performance and increased systemic simplicity. “Combining alternative storage layouts with in-memory processing allows applications to take advantage of efficient use of available memory and reduce or even eliminate the data latencies typically associated with significantly slower disk-based storage media.”
The Checklist Report helps prepare readers for their move to in-memory computing. It discusses how in-memory computing improves application performance and enables the “peaceful coexistence of transaction processing and analytics without demanding data extraction, transformations, rampant replication, and heterogeneous computing platforms.” Loshin also examines the impact of in-memory computing on the corporate data footprint and how the information technology is simplified.
Loshin begins the report by explaining why query performance is a critical driver of BI and data warehousing architectures. Traditional reliance on persistent database tables has led to performance bottlenecks. Even lightning-fast CPUs can’t overcome data access latency, Loshin notes, and he provides dramatic examples of speedier performance thanks to in-memory technology.
The report also explains:
- The synergy created when combining alternative data layouts (such as columnar databases) with in-memory platforms
- How you can free your environment from repeated data replication, simplifying enterprise IT by enabling a simpler system landscape, faster processing, and a simpler data footprint
- The basics of data tiers and how, when combined with analyzing access patterns, organizations can tier data by access frequency and optimize use of available memory resources
- Six features to look for from an in-memory platform provider
- How in-memory computing can simplify system setup
Loshin also discusses how in-memory computing can reduce application development complexity.
This research was sponsored by SAP.
Request a Copy of the Report
For a complete copy of the report or to ask questions of the author, members of the press should contact Roxanne Cooke, TDWI production manager, at email@example.com. The report is freely downloadable by the public at http://tdwi.org/research/2014/08/checklist-preparing-your-organization-for-in-memory-computing.aspx; a short registration is required for those downloading a TDWI report for the first time.
About the Author
David Loshin is president of Knowledge Integrity, Inc, and is a recognized thought leader, TDWI instructor, and expert consultant in the areas of data management and BI. David is a prolific author regarding BI best practices, as the author of numerous books and papers on data management, including Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph and The Practitioner’s Guide to Data Quality Improvement, with additional content provided at www.dataqualitybook.com. David is a frequently invited speaker at conferences, Web seminars, and sponsored websites and channels including www.b-eye-network.com. His best-selling book, Master Data Management, has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at www.mdmbook.com.
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Roxanne Cooke, TDWI