While attackers and researchers shift their attention to the next new vulnerability, security teams make sure they finish patching vulnerable Log4j versions in their applications and services.
Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]
This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […]
The importance of set pieces in football (or soccer in the US) has been on the rise in recent years: now more than one quarter of all goals are scored via set pieces. Free kicks and corners generally create the most promising situations, and some professional teams have even hired specific coaches for those parts […]
During the recent years, there has been a shift from monolithic to the microservices architecture. The microservices architecture makes applications easier to scale and quicker to develop, enabling innovation and accelerating time to market for new features. However, this approach causes data to live in different silos, which makes it difficult to perform analytics. To […]
NATO’s build-up continues following the invasion of Ukraine, with multiple fighter jets relocating and reinforcements arriving on the Eastern flank. As we reported in the last 24 hours, following the Russian invasion in Ukraine, NATO [...]
The primary purpose of implementing a Data Architecture is to standardize the methods and protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]
Disconnects between development, operations, data engineers, and data science teams might be holding your organization back from extracting value from its artificial intelligence (AI) and machine learning (ML) processes. In short, you may be missing the most essential ingredient of a successful MLOps environment: collaboration. For instance, your data scientists might be using tools like JupyterHub or […]