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 […]
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 […]
CCPA: The 800-Pound Regulatory Gorilla
Click to learn more about author David Stills. Ready or not, the California Consumer Privacy Act (CCPA), the hulking silverback of 800-pound gorillas, goes into effect January 1, 2020. How is CCPA like an 800-pound gorilla? The old joke asks, “Where does an 800-pound gorilla sit?” The answer is “Anywhere it wants to.” While CCPA […]
What Is Data Streaming? A Data Architect’s Guide
Click to learn more about author Joe deBuzna. In the past decade, there has been an unprecedented proliferation of Big Data and Analytics. The term Big Data has been loosely used in so many different scenarios that it’s fair to say – Big Data is really what you want it to be – it’s just … […]
Let’s All Stop Ignoring the IoT and Its Achilles Heel
Click to learn more about author Mathias Golombek. The Internet of Things (IoT) is booming. First featured in the infamous Gartner Hype cycle in 2011, the trend has inspired eight years of ever-more use cases for connecting our physical and digital worlds. Factories are connecting their workers, robotics, and products. Cities are connecting their citizens, […]
Data and Due Process: When Algorithms Go Awry
Click to learn more about author Michael D. Shaw. Data is like statistics: a matter of interpretation. The process may look scientific, but that does not mean the result is credible or reliable. How can we trust what a person says if we deny the legitimacy of what he believes? How can we know a […]
What’s More Predictive Than Predictive Analytics?
Click to learn more about author Karthik Ramasamy. Traditional predictive analytics involve leveraging historical data to identify trends, forecast likely events and conditions at a specific time, and model the best action for the desired result. For example, a manufacturer might try to determine when a machine on the production line will fail, or a retailer […]
Guaranteeing Data Integrity in the Age of Big Data
Click to learn more about author Neil Barton. Volume dominates the multidimensional Big Data world. The challenge many organizations today are facing is harnessing the potential of the data and applying all of the usual methods and technologies at scale. After all, data growth is only increasing and is currently being produced at 2.5 quintillion […]
The Role of Big Data Analytics and AI in the Future of Healthcare
Click to learn more about author Asha Saxena. The media buzz that surrounds Big Data, artificial intelligence (AI) and machine learning (ML) has never been higher, so much so that it can overshadow the real applications and actual outcomes companies are working on. But larger than life promises or hype might have an eclipsing affect around […]