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With respect to ETL integration from one system to the other, what steps needs to be considered when planning an aquisition or merger?
What are your views on the advantages and/or disadvantages ETL tools and data modeling versus code?
How can I enhance the productivity of my fact table load?
Please give some suggestions to prepare an estimation effort for our ETL process.
How important is data reconciliation for an ETL application?
White Papers
Sunopsis Integration Suite: An Evaluation by Bloor Research
Third Generation ETL: Delivering the Best Performance
Advanced ETL with Pentaho Data Integration
Evaluating Real-Time Data Integration Solutions
Books
ETL Channel
Channel Sponsored by

Skyrocketing data volumes have left many corporations with data warehouses teetering on the petabyte brink and performance bottlenecks throughout the organization. A popular Web site can create billions of clickstream records in a single day. High-volume sales drill down to detailed financial records, increased customer data, and additional marketing demographics. And then there's legacy, inventory, billing, etc. This wealth of data often translates to longer processing times, increased costs, and missed reporting deadlines. When an enterprise-wide ETL solution begins to slow down, the impact is felt in everything from daily business transactions to high-level business analytics.
Solving performance problems - or preventing them beforehand - may simply be a matter of keeping your eye on the ball. Bells and whistles are great, but minimizing elapsed time should always be the main objective. Other features, such as scalability and ease of use, will also increase performance. And before committing to a solution, evaluate it in your own environment. This is the only way to determine if a solution's performance impact will meet your individual needs.
In partnership with DMReview, Syncsort is proud to sponsor this resource for the latest information on ETL.
DMExpress, Syncsort's latest innovation, is the high-speed solution to your data management performance challenges. DMExpress speeds ETL, data warehousing, BI and other large volume applications. When dealing with large data volumes, DMExpress replaces long-running processes. Simply put, DMExpress "gets it done faster."
For more information, visit http://www.syncsort.com/DRP18AD.
Articles
The Value of an IT Automation Platform
Until recently, implementing automation to achieve the benefits of automated IT operational processes has proven costly and difficult to maintain.
BI Architecture: What is the Best Choice for My Organization?
This article attempts to put some context around the confusion of picking the best architecture and approach and provides several considerations you should ponder to help you make the best choice for your organization.
Effective Data Profiling
Here are a number of strategies to make data profiling an effective exercise.
New Solutions Make BI Attractive to All Companies
It has been excessively expensive and difficult to retrieve and analyze corporate information - until now.
Key Considerations for Adding Business Intelligence to Your IT Infrastructure
Implementing a flexible solution will simplify the process of adopting BI as part of your overall IT strategy and enable you to make the most of the data across the enterprise.
Columns
Trial-and-Error Method of ETL
Ensuring Quality Data
Data Warehouse Design in the Real World, Part 1
Ask the Experts
With respect to ETL integration from one system to the other, what steps needs to be considered when planning an aquisition or merger?
What are your views on the advantages and/or disadvantages ETL tools and data modeling versus code?
How can I enhance the productivity of my fact table load?
How important is data reconciliation for an ETL application?
Please give some suggestions to prepare an estimation effort for our ETL process.
White Papers
Sunopsis Integration Suite: An Evaluation by Bloor Research
By Bloor Research
Third Generation ETL: Delivering the Best Performance
By Yves De Montcheuil and Chris Dupupet
Advanced ETL with Pentaho Data Integration
By By Christopher Lavigne
Evaluating Real-Time Data Integration Solutions
Books
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Building and Managing the Meta Data Repository: A Full Life-Cycle GuideBy David Marco |
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Managing Gigabytes: Compressing and Indexing Documents and ImagesBy Ian H. Witten, Alistair Moffat, Timothy C. Bell |





