Download the slides here>> Dispel the most demanding data-management challenges with the dynamic duo of machine learning and human insight. We’ll reveal how Alation drives data search and discovery, data governance, data stewardship, analytics, and cloud transformation. Lindsey Novilla Sr. Sales Engineer, Alation Lindsey Novilla has over ten years of experience in consulting, specializing […]
My Career in Data Episode 1: Tony Shaw, CEO / Founder, DATAVERSITY
Welcome to My Career in Data—a new DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data and the tips, tricks, and advice they have for those looking to follow in their footsteps. In the first episode we talk with DATAVERSITY founder and CEO Tony Shaw, […]
ADV Slides: Graph Database Use Cases
Advanced Analytics: Graph Database Use Cases from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Graph databases may be the unsung heroes of data platforms. They are poised to expand dramatically in the next few years as the nature of important analytics data expands dramatically […]
ADV Webinar: Graph Database Use Cases
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Graph databases may be the unsung heroes of data platforms. They are poised to expand dramatically in the next few years as the nature of important analytics data expands dramatically into understanding. We live and work today […]
Data Science Solutions: Applications and Use Cases
Data Science is a broad field with many potential applications. It’s not just about analyzing data and modeling algorithms, but it also reinvents the way businesses operate and how different departments interact. Data scientists solve complex problems every day, leveraging a variety of Data Science solutions to tackle issues like processing unstructured data, finding patterns […]
Data Governance Frameworks
A Data Governance framework can be described as a collection of processes, rules, and responsibilities used to structure an organization’s Data Governance program. A solid framework will cover data standards, data privacy, business strategies, and the responsibilities of key individuals. Well-designed Data Governance frameworks support effective Data Governance programs and should standardize rules and processes across the […]
Do You Really Need a Data Catalog?
A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business processes clearer, encourage better cross-departmental collaboration, and boost productivity in several key ways. Gretchen Burnham and Becky Lyons of First San Francisco Partners recently sat down with DATAVERSITY® to talk about some of the big questions in […]
Enterprise Blockchain Implementation: Use Cases and Challenges
Blockchain provides a functional and efficient tool for recording business transactions, contractual agreements, and private records. A blockchain can be described as an encrypted digital recording of transactions that is duplicated and distributed to computers that are part of the blockchain network. This form of communicating and sharing recorded data is extremely difficult to hack […]
7 Key Features of Data Management Systems
Data Management is the practice of gathering, organizing, securing, and storing data for an organization so it can be analyzed for business decisions. Data Management helps minimize potential errors by setting processes and policies around its usage and building confidence in the data used for decision-making throughout the company. Businesses implement Data Management systems to ensure that data […]
How to Become a Data Quality Analyst
Data quality refers to the planning and implementation of quality management measures for the data that companies generate. The idea is that the data should fit the end goal of the data consumer’s needs – and must follow specific quality dimensions to be deemed fit for use. The role of a data quality analyst (DQA) is to ensure […]