Click to learn more about author Mike Brody. Big Data keeps getting bigger. We’re generating so much information these days that we’re running out of sustainable places to put it and have begun tinkering with the idea of storing it in space. Yes, outer space. With this much information on our hands, it’s no wonder the […]
The Future History of Time in Data Models
Click to learn more about author Thomas Frisendal. Timely Concerns in Data Models In June I published a blog post called Timely Concerns in Data Models. In summary the concerns that I mentioned in June were: Roles of time (such as Valid Time, Recorded Time, As-Is vs. As-Of, Read timelines, Time Series), The scope of […]
The Allure of the Cloud for Data Lakes
Click to learn more about author Sanjay Vyas. Many organizations are considering whether it’s the right time to shift from an on-premises data lake to a cloud data lake. From scalability issues to software incompatibility and security, on-premises data lakes haven’t delivered on the promise to give organizations fast and unfettered access to all their […]
What it Takes to be a CISO Today
Click to learn more about authors Steve Moore and Brian Haugli. The role of Chief Information Security Officer (CISO) is among the most coveted leadership positions across the security industry. As with any senior role, it brings with it opportunity, big responsibilities, risks and rewards. But from a CISO insider’s point of view, what are […]
Top Programming Languages for Data Science and Machine Learning
Click to learn more about author Manan Ghadawala. Software developers love arguing about which programming language is the best. However, the criterion for what is “best” is confusing. When we discuss software development for the machine learning and data science fields, this question is timeless and will never lose its relevance. Most useful programming languages […]
What I Learned About Data Quality from Building Cheap Furniture
Click to learn more about author Kevin W. McCarthy. I’m a Data Quality guy, and I do it because I love it! That sounds incredulous, but it’s true. I didn’t always love it, but over three decades I’ve learned the thrill of investigating a data issue down to its root cause like Sherlock Holmes. There […]
How Do You Prove the Value of Self-Serve Augmented Data Discovery?
Click to learn more about author Kartik Patel. How does one measure the effectiveness of a new augmented data discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation. Without measurable […]
Data Delivery vs. Amazon Delivery: Making Data Scientists More Efficient
Click to learn more about author Dipti Borkar. If Amazon can deliver an order in 1 hour, why does it take days or weeks for data scientists to access their datasets? Embrace chaos, embrace data silos, orchestrate, and deliver. As I head to AWS Summit today, I’ve been thinking about the beginnings—how it began for […]
Future Trends in Cloud Computing All Point to Optimization
Click to learn more about author Jay Chapel. Given our focus on public cloud cost control, we are always trying to understand more about the future trends in cloud computing, specifically the public cloud infrastructure (IaaS) market. Now that public cloud has reached a key peak in growth, there’s a common theme. While new services […]
The Two Most Important Questions for Data Security and IT Professionals
Click to learn more about author Don Boxley. Few positions can rival the responsibilities of security and other IT administrators. With the weight of an entire organization’s data protection and management on their shoulders, these professionals need clarity and simplicity when it comes to setting their goals and priorities. With that in mind, I’d like […]