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Best Practices for Using Azure Blob Storage

Click here to learn more about Gilad David Maayan. Microsoft Azure is a secure, scalable, durable and highly available cloud storage service. There are two storage account types, five storage types, four data redundancy levels, and three storage tiers. This article focuses on Azure’s Blob Storage service, including Blob types, Blob tiers, and best practices for managing Blob cost and availability. What is Azure Blob Storage? Azure Blob Storage is…

Cyber Resiliency to Protect Assets Beyond 2020

Click to learn more about author Hal Lonas. Data protection, including backup and disaster recovery, and security in general are topics that have been top-of-mind with media over the past few years. But as we move into a new decade, businesses will need to have an understanding of how all of these technologies work together if they are to be successful. As we open the door to 2020, we will…

Two Data Security Predictions for 2020

Click to learn more about author Don Boxley. As we enter another new year and kick off a fresh decade, it’s a great time to call out some technology predictions for 2020 and beyond. Topping my list are data security and disaster recovery (DR). When it comes to these two critical technology areas, my predictions relate to Raspberry Pi (RasPi) and cloud-based DR. My “crystal ball” vision here is based…

Case Studies

What is...?

What is a Data Analyst?

Data analysts help businesses make better, more informed decisions by not only collecting and…

What is a Data Architect?

A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy…

What is a Data Engineer?

Data engineers build Data Architecture  through infrastructures and foundations. A data engineer is tasked…

What is Data Literacy?

Data literacy describes the ability to read, work with, analyze, and argue with data,…

What is DataOps?

DataOps (Data Operations) is collaborative Data Management practices “focused on improving the communication, integration,…

What is a Data Scientist?

Data scientists emphasize rigor and performance when obtaining, scrubbing, exploring, modeling, and interpreting data.…

Most Recent Articles

The Future of Deep Learning

Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning (ML) and deep learning technologies. What’s Next for Deep Learning? attempts to answer this question…

The Art of Data Extraction

To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the web to help businesses with analytics has its challenges. Making sure that the data they…

The Value of Metadata Governance

Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and Principal of KIK Consulting and Educational Services, the publisher of The Data Administration Newsletter (TDAN),…

Case Study: Building a Business Intelligence Team with Confidence and Transparency

Meeting the company’s goals is the responsibility of everyone in the organization, so even those who aren’t directly influencing the cost or the revenue side should know what those goals are. “No matter who you are, you are directly or indirectly affecting key company metrics,” said Vanessa Lam, Business Intelligence Manager for Optoro. Lam shared with DATAVERSITY® Enterprise Data World Conference participants her experience creating and building Optoro’s Business Intelligence…

Data Management vs. Business Intelligence

What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for someone more knowledgeable to help fix these problems? Many firms are turning to self-service BI…

Data Modeling Trends in 2020: A Year of Optimization

This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need to do more, faster, with less. Economic and political uncertainties will flatten IT spending while…

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