Business Intelligence, Big Data Management

The Blueprint for a Data Governance Program

August 25, 2022

The Blueprint for a Data Governance Program
Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

Spotlight

Springml, Inc

SpringML specializes in advanced Data Analytics and Machine Learning. Our mission is to help our customers accelerate the time to derive insight and make an impact using data. We provide fit to purpose applications and implementation services for AI adoption. Our apps provide a lightweight foundation upon which solutions can be built rapidly. With expertise in industry leading big data and analytics platforms as well as domain knowledge in various industries, our team is capable of designing creative solutions that solve your most complex business problems.

OTHER WHITEPAPERS
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Manual Replication of MySQL Database Using MySQL Workbench

whitePaper | December 19, 2022

When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.

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A Review of BioPharma Sponsor Data Sharing Policies and Protection Methodologies

whitePaper | September 12, 2022

This whitepaper examines clinical trial data contribution policies and the data protection methodologies applied to protect patient privacy. Information published by 29 biopharma sponsors was collected across three data-sharing platforms, collated by sponsor size. Results showed that large sponsor contribution policies can provide helpful benchmarks for medium and smaller sponsors.

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Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

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Using Alation to Accelerate Your Active Data Governance

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

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Creating A New Governance Era with A Data Operating System

whitePaper | October 27, 2022

Data governance is on everyone’s mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of “ghosts,” or implicit knowledge existing within any organization that never makes it to documentation. Ghosts affect companies in both data and people spheres, making it challenging to modernize legacy architectures or bring new talent on board. Even more, it makes using data a challenge.

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Data Connectivity 2022

whitePaper | August 18, 2022

The 2022 data connectivity survey pivots somewhat from prior years’ studies. Data connectivity and data integration are well established in the traditional on-premise computing environment. But we’ve seen that as organizations increasingly expand their domains to one or more cloud service providers, it is important to better understand the challenges and opportunities for connectivity presented by modernization initiatives.

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Spotlight

Springml, Inc

SpringML specializes in advanced Data Analytics and Machine Learning. Our mission is to help our customers accelerate the time to derive insight and make an impact using data. We provide fit to purpose applications and implementation services for AI adoption. Our apps provide a lightweight foundation upon which solutions can be built rapidly. With expertise in industry leading big data and analytics platforms as well as domain knowledge in various industries, our team is capable of designing creative solutions that solve your most complex business problems.

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