Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so […]
Regularization for Logistic Regression: L1, L2, Gauss or Laplace?
Click to learn more about author Kathrin Melcher. Regularization can be used to avoid overfitting. But what actually is regularization, what are the common techniques, and how do they differ? Well, according to Ian Goodfellow [1]: “Regularization is any modification we make to a learning algorithm that is intended to reduce its generalization error but […]
Updating Your Network Data Infrastructure in 2020
Click to learn more about author Jason Carolan. As the promise of 5G creeps slowly into the present day, the ways certain technologies and industries will be affected or transformed once the technology is in place are coming into focus. While many businesses cannot say they are using 5G today, many are experiencing its initial […]
Four Data Management Tricks I Learned from Raising Kids
Click to learn more about author Mathias Golombek. Just to make it clear upfront: No, I didn’t have children to learn Data Management tricks. I became a father at the age of 25, just 10 days before I started as a software developer at Exasol. I felt full of energy and ready to take on […]
Thirty Questions for Establishing Embedded BI Requirements
Click to learn more about author Mike Brody. For the uninitiated, finding the right embedded business intelligence solution can feel a bit like ordering food from an international restaurant. The question isn’t what you’re in the mood for – it’s what’s on the menu that you’re in the mood for. That’s a difficult question for someone […]
Challenges of Integrating Heterogeneous Data Sources
Click to learn more about author Ibrahim Surani. With enterprise data pouring in from different sources – CRM systems, web applications, databases, files, etc. – streamlining data processes is a significant challenge as it requires integrating heterogeneous data streams. In such a scenario, standardizing data becomes a pre-requisite for effective and accurate analysis. The absence […]
Insights into the Cultures of High-Performing Digital Organizations
Click to learn more about author Deborah Soule. This is the fourth part in a series of articles on digital transformation. Read Part One titled Where is Your Organization on the Digital Transformation Journey? Part Two is titled Stages of Transition in Becoming a Digital Organization. Part Three is titled Learning from the Cultures of High-Performing Digital Organizations. […]
Big Data Security: Challenges and Solutions
Click here to learn more about Gilad David Maayan. Enterprises are using big data analytics to identify business opportunities, improve performance, and drive decision-making. Many big data tools are open source and not designed with security in mind. The huge increase in data consumption leads to many data security concerns. This article explains how to […]
What Financial Institutions Need to Know About Processing Private Data
Click to learn more about author Tejasvi Addagada. A financial institution that is governed by a customer data protection regulation like GDPR in the European Union, CCPA in California, or the upcoming PDP in India must have a valid, lawful basis to process personal data from prospects and customers along with customer private data from aggregators […]
Case Study: Deriving Spark Encoders and Schemas Using Implicits
Click to learn more about author Dávid Szakallas. In recent years, the size and complexity of our Identity Graph, a data lake containing identity information about people and businesses around the world, begged the addition of Big Data technologies in the ingestion process. We used Apache Pig initially, and then migrated to Apache Spark a […]