#petabase-scale-indexing

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Business intelligence
fromLawSites
1 day ago

Centerbase Launches AI-Powered Business Intelligence Tool That Gives Firms Citation-Backed Answers from Their Own Data

Centerbase IQ is an AI tool that provides real-time insights on law firm performance using natural language queries.
Privacy professionals
fromwww.bbc.com
11 hours ago

Palantir defends its record as MPs demand more scrutiny of data use

Palantir defends its NHS data contracts amid scrutiny, emphasizing its role in integrating fragmented healthcare systems and ensuring data security.
DevOps
fromBusiness Matters
2 days ago

The Role of Dedicated Servers in Scaling Modern Businesses

Infrastructure investment is crucial for SMEs to ensure reliability, performance, and user experience in a competitive digital landscape.
Data science
fromInfoWorld
1 day ago

Google Cloud introduces QueryData to help AI agents create reliable database queries

QueryData enhances AI agents' accuracy in querying databases by translating natural language into precise database queries.
Marketing tech
fromAdExchanger
1 day ago

AI Is Nothing Without Data Fidelity. Here's A Four-Step Approach to Protect It | AdExchanger

Data integrity is crucial for effective AI in advertising, as flawed data leads to poor outcomes.
London startup
fromComputerWeekly.com
1 day ago

Datacentre developers tout benefits to local communities, but do they deliver? | Computer Weekly

Datacentre developments are causing challenges for local businesses, raising concerns about energy consumption and community impact despite potential local benefits.
#ai
fromFortune
3 days ago

Data centers and gas demand make boring pipelines great again | Fortune

Williams Companies will break ground on the Northeast Supply Enhancement pipeline, the first new pipeline in New York in over a decade, expanding its Transco natural gas network.
NYC startup
Tech industry
fromTheregister
5 days ago

AWS ponders selling its home-grown chips by the rack-load

Amazon's chip business could generate ~$50 billion annually if sold independently, highlighting significant demand and growth potential.
#cloud-computing
Business intelligence
fromInfoWorld
21 hours ago

The hyperscalers are pricing themselves out of AI workloads

AI is challenging traditional cloud pricing models, as buyers seek exceptional value beyond brand recognition and familiar pricing strategies.
Business intelligence
fromInfoWorld
21 hours ago

The hyperscalers are pricing themselves out of AI workloads

AI is challenging traditional cloud pricing models, as buyers seek exceptional value beyond brand recognition and familiar pricing strategies.
#aws
DevOps
fromAmazon Web Services
1 day ago

Troubleshooting environment with AI analysis in AWS Elastic Beanstalk | Amazon Web Services

AWS Elastic Beanstalk simplifies web application deployment and scaling, now enhanced with AI Analysis for troubleshooting environment health issues.
DevOps
fromInfoWorld
4 days ago

AWS targets AI agent sprawl with new Bedrock Agent Registry

AWS introduces Agent Registry to help enterprises manage and govern AI agents effectively.
DevOps
fromTheregister
5 days ago

AWS put a file system on S3; I stress-tested it

AWS S3 Files allows mounting S3 buckets as NFS shares, providing solid conflict resolution and cost-effective storage options.
DevOps
fromTheregister
5 days ago

AWS: Agents shouldn't be secret, so we built a registry

AWS Agent Registry enhances visibility and control over AI agents in corporate environments.
#agentic-ai
Information security
fromTechzine Global
3 weeks ago

Databricks launches Lakewatch: agentic SIEM on the Lakehouse

Lakewatch is an open SIEM platform that consolidates security, IT, and business data, enabling rapid threat detection and response using AI agents.
Information security
fromTechzine Global
3 weeks ago

Databricks launches Lakewatch: agentic SIEM on the Lakehouse

Lakewatch is an open SIEM platform that consolidates security, IT, and business data, enabling rapid threat detection and response using AI agents.
Software development
fromInfoQ
1 week ago

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents

TigerFS is an experimental filesystem that integrates PostgreSQL, allowing file operations through a standard filesystem interface.
#snowflake
Django
fromMedium
1 week ago

Snowflake Supports Directory Imports

Easier package imports into Snowflake functions and procedures from stage directories and SnowGit directories streamline development and deployment.
Artificial intelligence
fromTheregister
3 weeks ago

Snowflake's ongoing pitch: bring AI to data, not vice versa

Snowflake is enhancing its platform for AI integration through strategic partnerships and acquisitions, focusing on customer ROI and data management efficiency.
Django
fromMedium
1 week ago

Snowflake Supports Directory Imports

Easier package imports into Snowflake functions and procedures from stage directories and SnowGit directories streamline development and deployment.
Artificial intelligence
fromTheregister
3 weeks ago

Snowflake's ongoing pitch: bring AI to data, not vice versa

Snowflake is enhancing its platform for AI integration through strategic partnerships and acquisitions, focusing on customer ROI and data management efficiency.
Privacy professionals
fromComputerworld
6 days ago

Questions raised about how LinkedIn uses the petabytes of data it collects

LinkedIn users should limit identifiable data exposure and treat the platform as potentially hostile until BrowserGate allegations are verified.
DevOps
fromInfoQ
1 day ago

Beyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker

Docker Extensions enhance developer productivity but may not meet enterprise needs for security, compliance, and integration.
Business intelligence
fromZDNET
5 days ago

I asked 5 data leaders about how they use AI to automate - and end integration nightmares

Strong processes and AI integration are essential for businesses to effectively utilize data.
Data science
fromTheregister
6 days ago

UK National Data Library plan needs work, study finds

The UK's National Data Library needs improved dataset accessibility to support AI development and meaningful analysis.
#postgresql
DevOps
fromInfoQ
5 days ago

Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities

Google Cloud has made significant technical contributions to PostgreSQL, enhancing logical replication, upgrade processes, and system stability.
DevOps
fromInfoQ
5 days ago

Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities

Google Cloud has made significant technical contributions to PostgreSQL, enhancing logical replication, upgrade processes, and system stability.
DevOps
fromInfoQ
4 days ago

Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess

Etsy migrated its MySQL sharding infrastructure to Vitess, enhancing data management and enabling resharding capabilities.
DevOps
fromInfoQ
6 days ago

Uber's Hive Federation Decentralizes 16K Datasets and 10+ PB for Zero-Downtime Analytics at Scale

Uber redesigned its Hive data warehouse to decentralize datasets, enhancing scalability, security, and operational autonomy for teams.
Information security
fromTNW | Insights
1 week ago

KeeperDB brings zero-trust database access to privileged access management

Database credentials are a major attack vector, and KeeperDB integrates access controls into its PAM platform to enhance security.
fromInfoWorld
5 days ago

Bringing databases and Kubernetes together

Automating Kubernetes workloads with Operators can provide the same level of functionality as DBaaS, while still avoiding lock-in to a specific provider.
DevOps
Business intelligence
fromTheregister
2 weeks ago

Microsoft Fabric Database Hub dubbed 'partial' solution

Microsoft's Fabric Database Hub offers a centralized management solution for its database services but lacks support for non-Microsoft databases.
Data science
fromMedium
4 weeks ago

Building Consistent Data Foundations at Scale

Building consistent data foundations through intentional architecture, engineering, and governance is essential to prevent fragmentation, support AI adoption, ensure regulatory compliance, and enable reliable organizational decisions at scale.
fromInfoWorld
2 weeks ago

Databricks pitches Lakewatch as a cheaper SIEM - but is it really?

"This is more likely to complement existing SIEMs than replace them. Early adoption will come from large enterprises already committed to Databricks, especially those seeking flexibility or cost control."
Information security
fromTechzine Global
6 days ago

AWS S3 buckets now support file systems

S3 Files is built on Amazon EFS and automatically translates file system operations into S3 requests, allowing applications to work with S3 data without code changes.
DevOps
Data science
fromMedium
1 month ago

Migrating to the Lakehouse Without the Big Bang: An Incremental Approach

Query federation enables safe, incremental lakehouse migration by allowing simultaneous queries across legacy warehouses and new lakehouse systems without risky big bang cutover approaches.
DevOps
fromInfoWorld
6 days ago

AWS turns its S3 storage service into a file system for AI agents

S3 Files simplifies access to Amazon S3, enhancing its role as a primary data layer for AI and modern applications.
Artificial intelligence
fromTheregister
1 month ago

Perplexity: Everything is Computer

Perplexity launches Computer for Enterprise, an AI orchestration service that automates business tasks across integrated cloud applications like Gmail, Slack, and Salesforce.
DevOps
fromInfoQ
1 week ago

Replacing Database Sequences at Scale Without Breaking 100+ Services

Validating requirements can simplify complex problems, and embedding sequence generation reduces network calls, enhancing performance and reliability.
Business intelligence
fromInfoWorld
3 weeks ago

Snowflake's new 'autonomous' AI layer aims to do the work, not just answer questions

Project SnowWork is Snowflake's autonomous AI layer that automates data analysis tasks like forecasting, churn analysis, and report generation without requiring data team intervention.
#observability
DevOps
fromTechzine Global
1 week ago

Observability warehouses, the next structural evolution for telemetry

Observability is essential for real-time insights in cloud systems, helping to reduce downtime and improve performance.
DevOps
fromTechzine Global
1 week ago

Observability warehouses, the next structural evolution for telemetry

Observability is essential for real-time insights in cloud systems, helping to reduce downtime and improve performance.
DevOps
fromInfoQ
2 weeks ago

ProxySQL Introduces Multi-Tier Release Strategy With Stable, Innovative, and AI Tracks

ProxySQL 3.0.6 introduces a multi-tier release strategy focusing on stability, innovation, and AI capabilities for diverse user needs.
Business intelligence
fromInfoWorld
1 month ago

Why Postgres has won as the de facto database: Today and for the agentic future

Leading enterprises achieve 5x ROI by adopting open source databases like PostgreSQL to unify structured and unstructured data for agentic AI, with 81% of successful enterprises committed to open source strategies.
DevOps
fromTechzine Global
2 weeks ago

OpenObserve lowers observability storage costs by 140x

OpenObserve offers an AI-native open source platform that significantly reduces costs and infrastructure needs in the observability market.
Startup companies
fromInfoQ
2 months ago

Etleap Launches Iceberg Pipeline Platform to Simplify Enterprise Adoption of Apache Iceberg

Managed Iceberg pipeline platform unifies ingestion, transformation, orchestration, and table operations inside customers' VPCs, enabling enterprise Iceberg adoption without building custom stacks.
fromInfoWorld
2 months ago

AI is changing the way we think about databases

Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
Software development
fromDbmaestro
4 years ago

5 Pillars of Database Compliance Automation |

There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth.
EU data protection
Artificial intelligence
fromInfoWorld
1 month ago

Why AI requires rethinking the storage-compute divide

AI workloads require continuous processing of unstructured multimodal data, causing redundant data movement and transformation that wastes infrastructure costs and data scientist time.
DevOps
fromTechzine Global
2 weeks ago

DataCore Introduces Swarm Appliance for Edge Data Protection

DataCore's Swarm Appliance offers a comprehensive data protection solution for edge and ROBO environments, combining immutability, encryption, and malware detection.
#mariadb-acquisition
Business intelligence
fromInfoWorld
1 month ago

MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB's acquisition of GridGain aims to create an integrated platform combining relational database reliability with in-memory computing speed to compete with hyperscaler offerings.
Business intelligence
fromInfoWorld
1 month ago

MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB's acquisition of GridGain aims to create an integrated platform combining relational database reliability with in-memory computing speed to compete with hyperscaler offerings.
Data science
fromInfoWorld
1 month ago

The revenge of SQL: How a 50-year-old language reinvents itself

SQL has experienced a major comeback driven by SQLite in browsers, improved language tools, and PostgreSQL's jsonb type, making it both traditional and exciting for modern development.
Business intelligence
fromEntrepreneur
1 month ago

The Game-Changing Tech Saving Companies From Data Disasters

Combining Continuous Data Protection with AI capabilities enables businesses to achieve near-zero Recovery Point Objectives and minimal Recovery Time Objectives, preventing data loss and minimizing downtime.
fromTechzine Global
2 months ago

4 steps to create a future-proof data infrastructure

A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
Tech industry
DevOps
fromInfoQ
3 weeks ago

AWS Expands Aurora DSQL with Playground, New Tool Integrations, and Driver Connectors

Amazon Aurora DSQL introduces usability enhancements, including a browser-based playground and integrations with popular SQL tools for improved developer experience.
Software development
fromMedium
2 months ago

The Complete Database Scaling Playbook: From 1 to 10,000 Queries Per Second

Database scaling to 10,000 QPS requires staged architectural strategies timed to traffic thresholds to avoid outages or unnecessary cost.
Business intelligence
fromTechzine Global
1 month ago

Dataiku introduces platform for scalable enterprise AI

Dataiku launches Platform for AI Success with three new products designed to move AI initiatives from pilots to measurable business outcomes through unified orchestration across cloud providers.
DevOps
fromInfoWorld
4 weeks ago

Update your databases now to avoid data debt

Multiple major open source databases reach end-of-life in 2026, requiring teams to plan upgrades and migrations to avoid security risks and higher costs.
Data science
fromInfoWorld
1 month ago

Buyer's guide: Comparing the leading cloud data platforms

Five leading cloud data platforms—Databricks, Snowflake, Amazon RedShift, Google BigQuery, and Microsoft Fabric—offer distinct architectural approaches for enterprise data storage, analytics, and AI workloads.
fromTechzine Global
2 months ago

Databricks makes serverless Postgress service Lakebase available

Databricks today announced the general availability of Lakebase on AWS, a new database architecture that separates compute and storage. The managed serverless Postgres service is designed to help organizations build faster without worrying about infrastructure management. When databases link compute and storage, every query must use the same CPU and memory resources. This can cause a single heavy query to affect all other operations. By separating compute and storage, resources automatically scale with the actual load.
Software development
#mysql
fromInfoQ
2 months ago

350PB, Millions of Events, One System: Inside Uber's Cross-Region Data Lake and Disaster Recovery

Uber has built HiveSync, a sharded batch replication system that keeps Hive and HDFS data synchronized across multiple regions, handling millions of Hive events daily. HiveSync ensures cross-region data consistency, enables Uber's disaster recovery strategy, and eliminates inefficiency caused by the secondary region sitting idle, which previously incurred hardware costs equal to the primary, while still maintaining high availability. Built initially on the open-source Airbnb ReAir project, HiveSync has been extended with sharding, DAG-based orchestration, and a separation of control and data planes.
Tech industry
DevOps
fromTechzine Global
1 month ago

Everpure brings ActiveCluster to file environments

Everpure expands its Enterprise Data Cloud platform with ActiveCluster for file environments, enabling seamless data movement between systems while maintaining availability and protecting unstructured data critical for AI applications.
Software development
fromDbmaestro
4 years ago

If You Don't Have Database Delivery Automation, Brace Yourself for These 10 Problems |

Manual database processes break DevOps pipelines; only 12% deploy database changes daily, causing configuration drift, frequent errors, slower time-to-market, and reduced productivity.
Data science
fromInfoQ
1 month ago

Databricks Introduces Lakebase, a PostgreSQL Database for AI Workloads

Databricks Lakebase is a serverless PostgreSQL OLTP database that separates compute from storage and unifies transactional and analytical capabilities.
fromMedium
2 months ago

How I Fixed a Critical Spark Production Performance Issue (and Cut Runtime by 70%)

"The job didn't fail. It just... never finished." That was the worst part. No errors.No stack traces.Just a Spark job running forever in production - blocking downstream pipelines, delaying reports, and waking up-on-call engineers at 2 AM. This is the story of how I diagnosed a real Spark performance issue in production and fixed it drastically, not by adding more machines - but by understanding Spark properly.
Data science
fromInfoQ
2 months ago

Beyond the Warehouse: Why BigQuery Alone Won't Solve Your Data Problems

Data warehouses like BigQuery perform well initially but become slow, costly, and disorganized at scale, undermining low-latency operational use and innovation.
Information security
fromSecuritymagazine
2 months ago

Product Spotlight on Analytics

Taelor Sutherland is Associate Editor at Security magazine covering enterprise security, coordinating digital content, and holding a BA in English Literature from Agnes Scott College.
DevOps
fromInfoQ
1 month ago

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

BigQuery's global queries feature enables SQL queries across multiple geographic regions without data movement, eliminating ETL pipelines for distributed analytics.
Artificial intelligence
fromInfoQ
2 months ago

MongoDB Introduces Embedding and Reranking API on Atlas

MongoDB Atlas now offers an Embedding and Reranking API with Voyage AI models, enabling unified semantic search, automated embeddings, and integrated monitoring and billing.
fromTechRepublic
2 months ago

What Are the Pros and Cons of Data Centers?

When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.
Artificial intelligence
Data science
fromInfoWorld
2 months ago

Snowflake debuts Cortex Code, an AI agent that understands enterprise data context

Cortex Code enables developers to use natural language to build, optimize, and deploy governed, production-ready data pipelines, analytics, ML workloads, and AI agents.
Business intelligence
fromTechzine Global
2 months ago

ClickHouse, the open-source challenger to Snowflake and Databricks

ClickHouse is a high-performance columnar OLAP database rapidly adopted by AI and enterprise users, now valued at $15B and acquiring Langfuse.
Artificial intelligence
fromInfoWorld
2 months ago

Teradata unveils enterprise AgentStack to push AI agents into production

Teradata positions Enterprise AgentStack as a vendor-agnostic execution layer across hybrid environments, contrasting platform-tied AI approaches from Snowflake and Databricks.
Artificial intelligence
fromMedium
2 months ago

Extracting AI-Ready Data From Organizational Documents

Poor document extraction corrupts retrieval; preserving document structure at ingestion produces reliable embeddings and trustworthy RAG outputs.
fromDbmaestro
5 years ago

Database Delivery Automation in the Multi-Cloud World

The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.
DevOps
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