Data Governance Strategies

DATAVERSITY

Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.
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Spotlight

Moving from the POC to mission-critical apps, plus the evolution of the Hadoop ecosystem and the need for common metadata and common tools.
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OTHER ON-DEMAND WEBINARS

Top 7 Capabilities for Next-Gen Master Data Management

Reltio

This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offer big data scale performance in the cloud. Join this webinar to learn about these and other critical capabilities that power connected customer experience, compliance, and business alignment.
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Bridge the Cloud Divide with Pure Storage Cloud Data Services

BytesTechnology

Pure Storage have recently launched their Cloud Data Services - a new set of capabilities allowing you to easily embrace a hybrid cloud architecture and ditch the cloud divide. Where once private and public cloud data storage operated in separate worlds, Pure’s Cloud Data Services now bring on-premises functionality to the cloud. Plainly put, all the features, benefits, and advantages of running Pure FlashArray in your datacentre, will soon be available in AWS – with zero compromise.
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Analyze Data Faster with an Open Source Columnar Database

MariaDB

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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Expand Access to Credit with Alternative Data from Equifax

Equifax analysis indicates that approximately 91.5 million consumers in the US either have no credit file, or have insufficient information in the file to generate a traditional credit score. Your visibility into credit applicants determines whether you will offer more loans or miss profitable opportunities. By giving you incre
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Spotlight

Moving from the POC to mission-critical apps, plus the evolution of the Hadoop ecosystem and the need for common metadata and common tools.
SHOW MORE

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