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Published: 23 March 2022

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Data integrity leader achieves Snowflake Ready Technology status for its Precisely Connect data integration solution

Master Data Management partner, Precisely, the global leader in data integrity, has achieved Snowflake Ready Technology status for its Precisely Connect data integration solution. The Snowflake Ready validation recognizes Precisely Connect for aligning with Snowflake’s highest standards of best practice – meaning customers can unlock critical data held in legacy business systems more quickly while deriving maximum value from their infrastructure investments.

Data hosted on legacy systems can provide critical insights for businesses but is notoriously difficult to integrate with cloud-based platforms. By pairing Snowflake with Precisely Connect, businesses can get full access to all their data, whether from an IBM mainframe, IBM i or other business systems, and deliver it directly into Snowflake’s Data Cloud. Customers can make business decisions based on a complete picture of their data, ensuring accurate insights.

“Our customers rely on us to help them drive their businesses forward with best-in-class analytics and insights,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “As a leader in data integrity, Precisely can ensure there is a foundation of complete and trusted data on which to confidently make those critical decisions.”

The move further reinforces the long-standing partnership of the companies, with Precisely’s datasets already established on the Snowflake Data Marketplace. Together the businesses help their customers daily to make more confident business decisions based upon data that has high levels of accuracy, consistency, and context.

“We are delighted to be strengthening our valued partnership with Snowflake,” said Patrick McCarthy, Chief Revenue Officer at Precisely. “Our combined capabilities help customers extend the useful life of their existing infrastructure, unlocking critical data from legacy business systems and connecting it with Snowflake’s Data Cloud. It’s a powerful combination that provides businesses with the trusted data and insights they need to fuel confident decision-making.”

Click here to learn more about the powerful combination of Snowflake and Precisely Connect.

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Published: 15 March 2022

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This new course, by Columbia University Adjunct Professor, Asha Saxena, extends our eLearningCurve CIMP in Data Science curriculum. 

Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. It is pervasive today in everyday life from recommendation engines to practical speech recognition, web searches to advanced GPS systems. Businesses are taking advantage of machine learning in creating advanced solutions to serve their customer segments.

Just as humans learn by example, machine learning algorithms learn by example. Machine learning allows us to both learn from the past to inform the future and give our data a voice. There are two equally important components for the successful application of machine learning: a good algorithm, and a comprehensive set of training examples that span as much of the system-of-interest parameter space as possible.

A broad introduction to Machine Learning

This course provides students with a broad introduction to machine learning and the data preparation workflow.

The course begins with a portfolio of case studies to provide an overview of what can be accomplished with machine learning. Then, the fundamental machine learning tasks and algorithms are covered. The machine learning tasks and algorithms covered include multivariate nonlinear nonparametric regression, supervised classification, unsupervised classification, and deep learning. For these machine learning tasks, it is shown how to assess the quality of the machine learning models and perform error estimation and feature engineering.

This course is geared towards data engineers, data analysts and other data management professionals interested in learning how to apply machine learning in business applications. The course will help you to understand best practices for applying machine learning.

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Published: 14 January 2022

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Master Data Management partner, eLearningCurve.com has launched a new course on Data Ethics and responsible AI, extending our data governance curriculum.

 The 3-hour course, by Diana Ascher, PhD, MBA is developed in partnership with the EDM Council and delves into the importance of data ethics & responsible AI in data management organizations. It identifies basic ethical principles pertaining to data and describes how these arise from three general ethical frameworks. Participants will consider the data ethics implications of several case studies and current events. Participants will learn how to recognize the data ethics aspects of the DCAM framework for application in real-world situations.

 You will learn:
• What data ethics really means
• The many forces driving urgency of data ethics
• The benefits and harms that can result from data
• The risks of data breaches
• The importance of trust and how it is created
• How data ethics integrates into the 8 components of DCAM
• The very strong relationships of data ethics and data governance
• Three steps toward data ethics actualization

Diana Ascher is the director of the IS Lab at UCLA and founder of the Information Ethics & Equity Institute, which bridges information studies research and praxis through accredited programming for data and information workers.

As Senior Advisor on Data Ethics & Responsible AI to the EDM Council, Dr. Ascher helps ensure the world’s leading organizations develop ethical data management policies and practices.

For a more detailed overview of the course please vist https://ecm.elearningcurve.com/Data_Ethics_Responsible_AI_Fundamentals_p/dg-12-a.htm

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Published: 10 January 2022

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Master Data Management, an African data management company, has entered a reseller and implementation partnership with Okera, Inc, the Universal Data Authorisation company. The partnership will see Masterdata sell and implement the Okera Dynamic Access Platform (ODAP) in sub-Saharan Africa.

“We see universal data authorisation as the missing piece of the governance puzzle, particularly with cloud adoption on the rise,” said Gary Allemann, Managing Director at Master Data Management. “Okera liberates data for self-service BI and analytics, without compromising privacy.”

ODAP is designed to help enterprises minimise security risk and enforce compliance with data privacy regulations, two key needs as companies assess data protection and access control objectives in a fast-moving technology environment.

The Universal Data Authorisation company discovers and protects sensitive data in cloud-based, on-premise, or hybrid cloud environments, making it of particular interest to enterprises looking to ensure the protection of personal data as they modernise their architectures.

“As data lakes increasingly become home to vital production datasets, a secure data access layer is essential to protecting sensitive data and ensuring compliance with evolving regulations,” said John F. Marchese, Vice President of Global Alliances & Partner Sales Channel at Okera. “Our partnership with Master Data Management will support African enterprises with a straightforward and cost-effective way to build a complete data analytics environment with the confidence they are taking a responsible approach to information privacy management.”

With Okera, organisations can:

• Automate data discovery and classification.
• Centrally define access control policies at an attribute level and apply these both on-premises and in the cloud.
• Filter, hide, mask, and tokenise sensitive data for each access request at run-time.
• Understand who has access to sensitive data, and how and when they used it.

About Okera

Okera, the Universal Data Authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and enforce compliance with data privacy regulations. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.

Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco and is backed by Bessemer Venture Partners, ClearSky Security, and Felicis Ventures. For more information, visit www.okera.com or contact This email address is being protected from spambots. You need JavaScript enabled to view it., or connect with the team on Facebook, LinkedIn, or Twitter.