#data-management

#data-management

Working with Amazon S3 buckets in the Kubeflow Spark Operator and Python is complicated, with issues surrounding dependency management and file access within worker pods.

AI spreadsheet generators are tools that utilize natural language prompts to facilitate tasks like generating formulas, building tables, and cleaning data without writing any code.

Spreadsheets are broadly accessible but can cause headaches for the unwary, as errors may arise from accidental overwrites or incorrect calculations.

The introduction of PhysicalBackup Custom Resources provides an efficient backup solution, particularly for large datasets, utilizing mariadb-backup and Kubernetes-native VolumeSnapshots.

Over a quarter of data and analytics professionals worldwide estimate that poor-quality data costs companies over $5 million annually, with 7% putting the figure at $25 million or more.

Amazon S3 lifecycle rules, while promising, often lead to messy and expensive data management due to their one-size-fits-all, timer-based approach.

Shoppers have alternatives, so curating the perfect customer experience requires attention to branding and customer touchpoints, including the critical role of kiosks in retail.

Time travel in Apache Iceberg allows users to precisely identify which data snapshot produced exceptional results, eliminating the need to sift through production logs.

Many users have found automation to be basic and the tool to be less powerful than expected, especially when workflows become more complex.

Google is introducing a new ability on its Chrome browser for iOS that allows users to switch between personal and work profiles, keeping data separate.

A CRM lets you keep track of every interaction with your customers, manage follow-ups, and organise everything in a way that improves customer experience.

AI assistants, if designed improperly, can pose significant risks to privacy and security, potentially exploiting user data without proper controls in place.

Every record begins life in application logic: a TypeScript event, a Java entity, a Python variable. If code produces the data, the correct place to assert expectations is inside the code base.

The Wall Street Journal reported in April 2025 on companies struggling to realize returns on AI. Just weeks later, it covered MIT's retraction of a technical paper about AI.

The FAIR principles have transformed the scientific landscape by ensuring that data is findable, accessible, interoperable, and reusable, thereby enhancing the integrity of research.

Ethan White, an environmental data scientist, emphasizes that data collection is an ongoing effort, reflecting the importance of maintaining and updating data over time.

This is an imperfect and temporary solution for cumulatively sharing all of this data. What we need is a long term solution where all of this is housed, so that everybody can see all of this data transparently from month to month.

Operations Hub is designed for teams who want to streamline operations and unlock new growth opportunities for their business, transforming operations into a growth engine.

The Sia Foundation partners with HackerNoon to back up its entire publishing archive, enhancing data security and preservation for future access.

EHRs enhance patient-centered care by facilitating better communication and coordination among healthcare providers, ensuring swift access to essential medical information.

Only 35% of sales professionals completely trust the accuracy of their organization's data, leading to wasted effort, frustrated users, and missed opportunities.

Healthcare companies are expanding AI from clinical applications to backend operations, like contract management, to improve efficiency and accuracy.

LinkedIn introduces Northguard, a log storage system overcoming Kafka's challenges by offering scalable architecture and seamless integration, enabling greater efficiency in data management.

"Our mixed IT ecosystem was hampering our ability to grow," Sandoval says.

The geography of information technology is not neutral; it shapes the conditions under which power systems operate, much like historical agricultural landscapes.