Everything tagged data-management, newest first. Tags come from the classifier reading each item's summary; 394 tags used 25 times or more have their own page.
iON+ and ACCURE Battery Intelligence have partnered to streamline access to high-frequency battery energy storage system data by using a data bridge that extracts and records BESS asset information for ACCURE customers.
The phrase "It's the data, stupid" emphasizes the critical importance of data in decision-making and strategic planning across various fields.
Understanding and managing data is crucial for privacy compliance, especially for NREN services like federated identity and eduroam, which handle personal data and may be subject to new privacy regulations.
The Packet Pushers podcast team debates the challenges and distinctions between NetOps and DevOps in managing telemetry and state data.
Job Snijders introduces a novel, compact format for representing RPKI-signed objects and presents an archive containing spooled snapshots of global RPKI repositories.
A semantic layer serves as a practical risk mitigation strategy by addressing operational risks that subtly impact organizations daily, rather than focusing solely on compliance frameworks.
The Packet Pushers podcast team discusses the challenges and differences between NetOps and DevOps in managing telemetry and state data.
Eric Herzog discusses how enterprise storage platforms enhance cyber resilience, AI adoption, operational simplicity, and data management efficiency, addressing five key challenges identified by IDC.
Ryan and Apollo GraphQL CEO Matt DeBerglis discuss leveraging GraphQL and MCP for structured semantic architecture to enhance data security, optimize token spend, and improve data management for autonomous agents.
Various states are inquiring into OpenAI's advertising practices and its management of health-related data, though specific states are not identified.
Netflix's TimeSeries Abstraction uses Apache Cassandra to handle petabytes of temporal data, addressing challenges like wide partitions through dynamic partitioning strategies, improving read latency and system stability without excessive scaling costs.
Netflix's TimeSeries Abstraction uses Apache Cassandra to handle large-scale temporal data, addressing wide partition challenges through dynamic partitioning strategies, improving read latency and system stability.
Ryan hosts a dual discussion at HumanX with Florian Douetteau from Dataiku on governance and orchestration in agentic systems, and Nancy Wang from 1Password on securing agent swarms.
RPKIViews efficiently captures the dynamic global RPKI dataset using CCRs, deduplication, and high-efficiency compression, enabling scalable long-term RPKI research.
A data lakehouse combines the scalability of data lakes with the reliability of data warehouses, using a unified storage layer and open table formats to streamline data management and ensure consistency.
Netflix developed an experimental caching layer to manage the high query load on Apache Druid by caching older data and only querying new data, significantly reducing the load and improving performance during high-demand events.
Your data is preserved, allowing you to return to your original address whenever needed.
In a Cisco Tech Meet podcast, Tom Gillis discusses AI's transformative impact on industries, Cisco's evolving infrastructure and security roles, and the challenges of managing AI's non-deterministic nature and data security.
A legal case involving DOGE's access to Social Security Administration data has led to a series of corrections being revealed.
Cisco Networking has integrated Splunk by taking ownership of Splunk's technical add-ons and launching the Cisco Splunk Enterprise Networking app for simplified data management.
The content discusses various topics including advancements in object storage technology, issues of piracy and privacy with potty cams, and the rising costs of Raspberry Pi devices.
The survey findings emphasize the importance of data quality, offering leadership action items and recommendations for integrating agentic AI in enterprises.
Deep Agent by Abacus AI is an all-in-one autonomous AI system that performs complex tasks like building applications, automating workflows, and managing data autonomously, operating 24/7 without manual intervention.
The week ending September 5, 2025, featured significant self-hosted news, updates, and launches, highlighting advancements and content in the self-hosting community.
Anthropic is implementing significant alterations in its user data management policies, requiring users to respond by September 28.
F5 and MinIO are collaborating to enhance AI data infrastructure by integrating F5's secure data delivery with MinIO's AIStor storage, optimizing AI stack performance.
URL shorteners transform long URLs into concise links using either hashing or sequential numbering in base 62, handling millions of URLs daily while avoiding collisions and ensuring efficient storage.
Meta's Privacy Aware Infrastructure and Policy Zones enforce data purpose limitations in large-scale batch processing, integrating with their exabyte-scale data systems to ensure privacy annotations are maintained across millions of daily data flows.
A researcher discovered an exposed key, raising concerns about DOGE's management of sensitive data.
The evolution of data storage and management, from structured databases to hybrid cloud systems, underscores the importance of data protection and manipulation by engineers, scientists, and applications to effectively leverage AI in business.
The week ending July 4, 2025, featured significant updates and launches in the self-hosted technology space, highlighting advancements and new content releases.
The transformation of Hollywood Park into a world-class destination with Sofi Stadium exemplifies revolutionary building through advanced IT infrastructure, enabling seamless connectivity, enhanced fan experiences, and efficient operations.
"Claude Gov" is actively involved in managing classified information for the United States government.
The video explores data management and scalability concepts in distributed systems, focusing on data partitioning, sharding, and indexing to efficiently handle massive data volumes.
During the pandemic, Colgate-Palmolive's chief supply chain officer, Luciano Sieber, initiated a "logistics blitz" to improve global product movement, resulting in an overwhelming amount of data to manage.
Hitachi Vantara introduces the Virtual Storage Platform 360, a unified management software to streamline data infrastructure management and enhance decision-making and data service delivery.
WinFS was Microsoft's ambitious project to revolutionize file storage by integrating database-like capabilities into the file system, aiming to manage and understand the growing digital data more effectively.
Netflix developed a scalable ads event processing platform to optimize ad campaigns, incorporating a centralized system for telemetry, frequency capping, and reporting, while addressing data growth and ensuring future adaptability.
The post discusses key lessons from data licensing experiences, emphasizing insights from Stack Overflow and the significance of socially responsible data practices in the evolving internet landscape.
This hands-on course by Hesh Chowry teaches beginners to build Dropley, a Dropbox-inspired file storage service using Next.js, focusing on secure authentication, data management, and complex architecture understanding.
Ensuring data quality in AI is crucial to prevent legal issues, financial penalties, and customer attrition.
Optimizing slow-running queries is crucial for data-driven organizations to manage runtime costs and deliver real-time insights, using methods like the SQL "explain" command to diagnose inefficiencies and prioritize optimizations.
AI data management automates and streamlines the data management life cycle stages—collection, cleaning, analysis, and governance—to enhance data accuracy, accessibility, and security, addressing challenges like shadow data and dark data through tools like smart classification and NLP.
Meta invests in advanced data understanding technologies to tackle the challenges of managing and comprehending its large-scale, complex data ecosystems, ensuring efficient user data safeguarding.
The Tech Bytes podcast discusses AI readiness with Broadcom, focusing on preparing network observability for AI operations, highlighting hardware, software, and data considerations, with insights from Jeremy Rossbach.
Dominic Chapman, Head of Product at Axiom, discusses the importance of data storage and operationalization in technology stacks, emphasizing that data provides truthful insights.
Constantly snapshotting and processing a screen every three seconds with AI can lead to privacy concerns, data overload, and potential security vulnerabilities.
R2 Data Catalog, a managed Apache Iceberg data catalog, is now available in public beta, integrated directly into R2 buckets.
Data is crucial not only for the success of large language models (LLMs) but also for enhancing their inference-time performance.
A 2019 standard, though not widely adopted, effectively connects internal and external storage systems, enhancing data management capabilities.
