Humans have an imperative to practice Data Curation. People have and continue to gather, maintain, and archive data at ever greater volumes, and they always have. They drive to get useful data for today and tomorrow. As Mike Schmoker elegantly states, “Things get done only if the data we gather can inform and inspire those […]
Data Science Trends in 2018
The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. The Dataconomy […]
Case Study: Hach Supports Water Quality with Master Data Management
On the home page of the Hach company website, there is a red button that says, “Hurricane Assistance.” That’s because the company provides water quality testing equipment to communities, companies, and individuals all over the world, some of whom are dealing with natural disasters. Above the button, the words: “After the storms, Hach is here […]
It’s Time for Data Governance 2.0 with erwin DG
The erwin, Inc. premiere of erwin DG at the DATAVERSITY® Data Architecture Summit 2017 marks a new approach to tackling the practice of discovering, understanding, governing and socializing data. That strategy, dubbed Data Governance 2.0, puts the focus on making Data Governance everyone’s business, in order to fully leverage data for strategic advantage and remove […]
Driving Greater SQL Scalability and Flexibility with Machine Learning
It’s time to dispel some myths surrounding SQL. That’s the message from MemSQL, a scalable real-time Data Warehouse that is designed to ingest and transform millions of events of data per day, while simultaneously analyzing billions of rows of data using standard SQL. As that description makes clear, there’s no reason to believe that there’s […]
Educating New Data Experts for the World of Data Management
Millennials (the new generation of future Data Experts) have a lot to offer. But, enterprises might need to think a little differently about how to foster their growth so that they can deliver real value to the organization. As baby boomers retire – and as businesses realize that Generation X wasn’t big enough to replace […]
A Brief History of Data Storage
Punch cards were the first effort at data storage in a machine language. Punch cards were used to communicate information to equipment “before” computers were developed. The punched holes originally represented a “sequence of instructions” for pieces of equipment, such as textile looms and player pianos. The holes acted as on/off switches. Basile Bouchon developed […]
Data Quality in the Enterprise
The target of many conference talks, backroom jokes, and late nights for data professionals in the Data Management industry is Data Quality. Data technologies and data assets have no meaning without reliable Data Quality, and yet there still is not enough attention given to data acquisition, data storage, and data preparation methodologies that are substance […]
Onboarding to Enterprise Knowledge Graphs
Enterprise Knowledge Graph vendors are working hard to find their place in the heart of businesses, helping them do more with and get more out of their mountains of data. Recently, for example, Stardog has adopted its leading Knowledge Graph platform to be “FIBO-aware,” mapping to the Financial Industry Business Ontology (FIBO) semantic standards out-of-the-box. […]
Privacy Impact Assessments: Why and When to Do Them
Click to learn more about author Cathy Nolan. What is a Privacy Impact Assessment? A Privacy Impact Assessment, or PIA, is an analysis of how personally identifiable information (PII) is collected, used, shared, and maintained. Why do it? If your organization needs to comply with the GDPR, a PIA will demonstrate that program managers and system […]