3 Misconceptions That Will Hurt Your Data Migration

Nobody wants to go through a data migration. The sooner it’s done, the better you say. But a successful migration actually takes more thoughtful prep and planning than we often choose to invest. In..

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Data-driven Companies Invest in Data Quality Strategy. Why?

Is data quality an integral part of your data-driven business strategy? Chances are, not completely—not yet, anyway. Nearly 40% of all company data is inaccurate, yet we know full well that the quality..

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Data Quality in Daily Life

Michal Tomčányi shares a few personal stories about the times Data Quality issues have transcended IT systems and appeared in his daily life.

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CloverETL Data Quality – An Introduction to Validator

Before your data enters the ETL process, it's in your best interest to only work with "good" data – that is, data that conforms to its respective domain rules, ranges, allowed values, and perhaps..

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Performance Optimization of Metrics in CloverETL Data Profiler

The first beta version CloverETL Data Profiler was released in October, and since then we have been working on improvements for the second beta version, which was released at the end of last year...

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A Look Back: CloverETL and Data Integration in 2011

As 2011 comes to a close, we’d like to take the time to reflect on what this year has brought CloverETL, its users, and our customers.

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CloverETL Data Profiler: Under the Hood of Data Profiling Application

Recently we’ve released the second public beta release of a new member of our CloverETL family – CloverETL Data Profiler. With this article we’d like to share an overview of the technical architecture..

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A Second Wind: New Features Strengthen CloverETL Data Profiler

In Data Profiling with CloverETL, we discussed the value of the new product that will soon enrich our product portfolio - CloverETL Data Profiler. The beta testing has been up and running, and so far..

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Data Profiling with CloverETL Profiler beta

The process of data integration, data migration, consolidation and other data manipulation projects consists of a variety of steps and tasks. Javlin supports many critical tasks within these projects..

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Address Cleansing and Transliteration with CloverETL and AddressDoctor

Data quality usually goes hand in hand with data integration. The new version CloverETL 3.1 has enriched its address cleansing capabilities through integration with AddressDoctor. AddressDoctor..

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