AWS Big Data

DECEMBER 19, 2024

Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved. Implementing robust data governance is challenging. Oghosa Omorisiagbon is a Senior Data Engineer at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

FEBRUARY 6, 2025

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Alation

FEBRUARY 3, 2022

They make testing and learning a part of that process. Using this methodology, teams will test new processes, monitor performance, and adjust based on results. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. Curate Assets.

Data Governance 98

Data Governance Measurement Metadata Testing 98

David Menninger's Analyst Perspectives

OCTOBER 7, 2020

Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.

Technology 337

Technology Management Testing Data Integration 337

DataKitchen

DECEMBER 13, 2021

Data Observability and Monitoring with DataOps. Add DataOps Tests to Deploy with Confidence. DataOps is NOT Just DevOps for Data. Data Governance as Code. 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps. Why Are There So Many Ops Terms? Top 5 White Papers.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. So what’s on the horizon for data governance in the year ahead?

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

CIO Business Intelligence

JANUARY 30, 2025

As mentioned above, dont let the challenges of creating and implementing an AI governance process slow you down or get in the way. Lets talk about a few of them: Lack of data governance. Organizations need to have a data governance policy in place. Lets start with the lifecycle of the model itself. version 0125).

Testing 93

Testing Metrics Cost-Benefit Modeling 93

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246

AWS Big Data

OCTOBER 30, 2024

With this launch of JDBC connectivity, Amazon DataZone expands its support for data users, including analysts and scientists, allowing them to work in their preferred environments—whether it’s SQL Workbench, Domino, or Amazon-native solutions—while ensuring secure, governed access within Amazon DataZone. Choose Test connection.

Visualization 115

Visualization Data Lake Testing Data Governance 115

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

To improve data reliability, enterprises were largely dependent on data-quality tools that required manual effort by data engineers, data architects, data scientists and data analysts. Having trust in data is crucial to business decision-making.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

TDAN

MARCH 15, 2022

They make testing and learning a part of that process. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. And they continuously improve by integrating new insights into future cycles.

Data Governance 98

Data Governance Testing Data Strategy Business Intelligence 98

TDAN

DECEMBER 1, 2021

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.

Data Governance 83

Data Governance Testing Data Science Enterprise 83

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone recently announced the expansion of data analysis and visualization options for your project-subscribed data within Amazon DataZone using the Amazon Athena JDBC driver. When you’re connected, you can query, visualize, and share data—governed by Amazon DataZone—within Tableau. Follow him on LinkedIn.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

O'Reilly on Data

MAY 21, 2019

You also need solutions that let you understand what data you have and who can access it. About a third of the respondents in the survey indicated they are interested in data governance systems and data catalogs. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

Cloudera

SEPTEMBER 23, 2022

Software upgrades and security patches need to be tested, scheduled, and delivered by the ops team. In short, just like on-premise deployments, a small team of operaitons personnel are required to successfully deploy and manage this type of data lakehouse deployment. .

Data Governance 109

Data Governance Strategy Enterprise Cost-Benefit 109

CIO Business Intelligence

JANUARY 14, 2025

Its typical for organizations to test out an AI use case, launching a proof of concept and pilot to determine whether theyre placing a good bet. These, of course, tend to be in a sandbox environment with curated data and a crackerjack team.

Strategy 141

Strategy ROI Experimentation Risk 141

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 103

Data Quality Data Governance Data Lake Testing 103

DataKitchen

JANUARY 5, 2021

The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance.

Testing 147

Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

NOVEMBER 27, 2024

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. e prod <-- environment (prod|pre-prod|test). -c Apache Atlas as a fundamental part of SDX. create_entities_server.sh. -ip

Data Governance 97

Data Governance Metadata Enterprise Data Processing 97

AWS Big Data

NOVEMBER 20, 2024

For example, one of our customers, Bristol Myers Squibb (BMS), leverages Amazon DataZone to address their specific data governance needs. This feature also supports metadata enforcement for subscription requests of a data product. For instructions on how to set this up, refer to Amazon DataZone data products.

Metadata 75

Metadata Data Governance Metrics Marketing 75

Smart Data Collective

DECEMBER 28, 2022

Here are some of the best practices for preventing errors in your data pipeline: 1. Use Automated Testing. Automated testing can help you identify and eliminate many potential data errors before they become an issue. These tests look for discrepancies between data sets and any unexpected changes in the flow of data.

Data Governance 126

Data Governance Testing Cost-Benefit Management 126

O'Reilly on Data

DECEMBER 19, 2018

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. are only starting to exist; one big task over the next two years is developing the IDEs for machine learning, plus other tools for data management, pipeline management, data cleaning, data provenance, and data lineage.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

JANUARY 7, 2025

In: Doubling down on data and AI governance Getting business leaders to understand, invest in, and collaborate on data governance has historically been challenging for CIOs and chief data officers.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

NOVEMBER 7, 2024

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. We are also testing it with engineering.

Insurance 120

Insurance Experimentation Testing Technology 120

CIO Business Intelligence

DECEMBER 18, 2024

By implementing DPSM, organizations can focus on their data priorities, knowing where all their data lives and how to secure it, he says. This can assist CIOs in tackling data governance issues , he adds. Perez highlights metrics like reduced security incidents, compliance adherence, and improvements in data governance.

Risk 105

Risk Risk Management Cost-Benefit Measurement 105

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

O'Reilly on Data

APRIL 2, 2019

We’ve become accustomed to the need for data governance and provenance, understanding and controlling the many databases that are combined in a modern data-driven application. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Machine Learning 269

Machine Learning Modeling Data Science Software 269

AWS Big Data

NOVEMBER 22, 2024

Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows. This upgrade allows you to build, test, and deploy data models in dbt with greater ease and efficiency, using all the features that dbt Cloud provides.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

CIO Business Intelligence

MARCH 7, 2023

Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues? Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

DataKitchen

AUGUST 16, 2024

Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata. This capability includes monitoring, logging, and business-rule detection.

Marketing 124

Marketing Data Quality Testing Metadata 124

CIO Business Intelligence

FEBRUARY 2, 2024

Developer, Professional Certification Mastering Data Management and Technology SAP Certified Application Associate – SAP Master Data Governance The Art of Service Master Data Management Certification The Art of Service Master Data Management Complete Certification Kit validates the candidate’s knowledge of specific methods, models, and tools in MDM.

Management 116

Management Data Governance Cost-Benefit Testing 116

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Collaborating with research institutions can improve ESG data methodologies while engaging with regulators ensures compliance with changing disclosure requirements.

IT 59

IT Data Governance Data-driven Metrics 59

Timo Elliott

DECEMBER 10, 2024

The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro. Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.

Management 52

Management Data Governance Consulting Risk 52

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. As an analogy, the DevOps space has seen consolidation in code storage, CI/CD, team workflow, value stream management, testing, and other tools into one platform.

Metadata 130

Metadata Testing Data Science Risk 130