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Precisely Blog Articles by Rachel Levy Sarfin

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Precisely Blog
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Articles by Rachel Levy Sarfin

  • Big Data
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  • Customer Engagement
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Blog > Rachel Levy Sarfin

Streaming Data Pipelines: Building a Real-Time Data Pipeline Architecture

Streaming Data Pipelines: What Are They and How to Build One

In this article you’ll learn what streaming data pipelines are, how they work, and how to build this data pipeline architecture.  Enterprise technology is entering a watershed moment: no...

Authors Photo Rachel Levy Sarfin | Big Data | November 16, 2022
Data Quality Dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness

Data Quality Dimensions: How Do You Measure Up? (+ Downloadable Scorecard)

By now, you’ve heard how valuable data can be, how it can drive your company forward, how you can use it to make better decisions. There’s a caveat there, of course. Information is only valuable...

Authors Photo Rachel Levy Sarfin | Data Quality | November 14, 2022
5 Characteristics of Data Quality: accuracy, completeness, reliability, relevance, and timeliness

5 Characteristics of Data Quality

Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of...

Authors Photo Rachel Levy Sarfin | Data Quality | November 2, 2022
Log Forwarding with Ironstream for Splunk

Log Forwarding with Ironstream for Splunk

Over the past several years, Splunk has become a definitive leader in analyzing log data, giving its customers the power to turn the insights from this machine data into action. Splunk enables users...

Authors Photo Rachel Levy Sarfin | Mainframe | August 26, 2022
Best Practices for Modernizing Your Data Architecture

Best Practices for Modernizing Your Data Architecture

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you...

Authors Photo Rachel Levy Sarfin | Big Data | July 20, 2022
Developing a Data Quality Framework: How to Herd the Cats

Developing a Data Quality Framework: How to Herd the Cats

Developing a data quality framework is reminiscent of herding cats. You have to bring together disparate groups to establish a set of standards to maintain data quality, when these groups don’t...

Authors Photo Rachel Levy Sarfin | Data Quality | July 10, 2020
Change Data Capture 101: What It Is and Why It Matters

Change Data Capture 101: What It Is and Why It Matters

What is change data capture? Does it have any importance or bearing on the work that you do? We’ll answer the first question shortly, but the answer to the second question is most certainly...

Authors Photo Rachel Levy Sarfin | Big Data | June 10, 2020
Data Quality in Healthcare: 3 Real-Life Stories

Data Quality in Healthcare: 3 Real-Life Stories

Data quality is crucial, though there are few industries in which it’s a life-or-death issue. The healthcare field is a notable one – a missing value, an additional value, or the wrong value...

Authors Photo Rachel Levy Sarfin | Data Quality | May 27, 2020
Improve Data Quality with Precisely Trillium Data Profiling Capabilities

Improve Data Quality with Precisely Trillium Data Profiling Capabilities

Your data is only valuable if its quality is high. The best way to achieve high data quality is through data profiling. Yet, what is the most effective (as well as cost-effective) way to carry out...

Authors Photo Rachel Levy Sarfin | Data Quality | May 6, 2020
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