Metadata Governance for Catalogs, Glossaries, Dictionaries, and Data

erwin

Metadata Governance is the execution and enforcement of authority over the management of Metadata and other data documentation. Organizations that govern their data documentation find it easier to govern their data as a result. There is direct correlation between the use of Data Catalogs, Business Glossaries and Data Dictionaries and successful governance of data and Metadata. This month’s RWDG webinar with Bob Seiner will focus on governing the use of the mentioned tools and the Metadata that can be managed inside each one. Bob will talk about governing Metadata in existing Metadata resources versus using new tools to handle this function.
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Spotlight

We at Think Big think that Data Science should be a business-led effort. Our Data Science teams have helped customers with problems as diverse as predicting failure of engines on ships, building churn models to predict when users are likely to leave transportation services and helping customers build real-time personalization for consumer engagement in a large-scale video streaming environment. Operationalized analytics, for us, is when we are able to leverage all analytics capabilities in production, at scale, to benefit the whole enterprise.

OTHER ON-DEMAND WEBINARS

Big Data Analysis specialization

Kozminski

Are you interested in extracting and analyzing financial data? Do you want to be familiar with the concept of big data? Kozminski University has just launched an extraordinary program in big data analysis for you. The Director of the program has a great pleasure to invite you to participate in a webinar aimed at introducing the program and answering the questions regarding the content of the program.
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Everything Data Scientists Should Know About Organizing Data Lakes

simplilearn.com

The recent GDPR regulations have changed the way companies handle the data they collect and store, making it imperative for data scientists to explore innovative ways to crunch and catalog data while ensuring that the company adheres to these new rulings that seek to establish complete data security.Join Big Data Expert Ronald Van Loon, and Simplilearns Chief Product Officer Anand Narayanan in a live video chat to understand.
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Top 10 Data and Analytics Trends That Will Change Your Business

Gartner

• The top ten strategic data and analytics technology trends and what they enable. How these trends enable you to build an intelligent and emergent data and analytics portfolio of capabilities that scale to the needs of digital business. Why these trends are growing and having an impact now. How these trends will change your organization, data and analytics program and skills needed. Strategic technology trends have significant disruptive potential over the next 5 years. You must examine your business impacts of these trends and appropriately adjust investments, business models and operations or else your company is at risk of losing competitive advantage to those who do. Data and analytics leaders cannot afford to ignore these 2019 top data and analytics trends.
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Data Protection Considerations for Multi-Cloud Environments

Veeam

The benefits of turning to the cloud are numerous; scalability, control, flexibility, and power to name a few. While transitioning to the cloud has many strong points, there are still the challenges of data and application protection. In this webinar, you’ll learn: - How to leverage multi-cloud as an addition to your traditional data center - What applications and services require the most protection in hybrid mode and how to protect them - The importance of portability and how to avoid lock-in - How to get better compliance and data protection by moving data between on-prem and the cloud.
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Spotlight

We at Think Big think that Data Science should be a business-led effort. Our Data Science teams have helped customers with problems as diverse as predicting failure of engines on ships, building churn models to predict when users are likely to leave transportation services and helping customers build real-time personalization for consumer engagement in a large-scale video streaming environment. Operationalized analytics, for us, is when we are able to leverage all analytics capabilities in production, at scale, to benefit the whole enterprise.

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