New & Notable
News
Web data search specialist Nimble raises $47M to fuel growth
By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources.
News
New Databricks tool targets streaming data cost, complexity
With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform.
Get Started
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
Manage
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
Trending Topics
-
Data science and analytics News
ThoughtSpot boosts agentic push with Analyst Studio update
A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it evolves toward becoming an agentic data platform.
-
Database Management News
SurrealDB raises $23M, launches update to fuel agentic AI
Though funding isn't flowing as freely into data management as it once was, the startup is attracting interest by focusing on enabling customers to unify data for AI development.
-
Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
-
Data Management Strategies Get Started
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
-
Data Integration News
Pentaho update aids data integration, semantic modeling
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted foundation for AI development.
-
Data Governance Manage
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
Sponsored Sites
-
Cloud
Optimize Your Cloud Migration with AWS & Infoblox
-
Storage
Benefit From the Power of Consolidated Storage
Learn how a consolidated approach to storage can modernize your storage which will increase efficiency and can decrease costs.
-
Generative AI
Enhancing Generative AI for Independent Software Vendors (ISVs)
Transform your software and deliver enhanced experiences to your end users when you integrate with the Amazon Q Business index. Access secure, multi-app data through an API to deliver smarter, context-rich experiences to your end users. Join leading providers in revolutionizing applications with composable AI features.
Featured Authors
Find Solutions For Your Project
-
Evaluate
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
-
The future of AI depends on better data, not bigger models
-
What executives look for in a data quality platform
-
The trust-at-speed paradox: Most data governance wasn't built for AI
-
-
Problem Solve
How to cut data loss risks when employees leave
How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets.
-
Residual access failures put data at risk
-
10 data governance challenges that can sink data operations
-
7 data cleansing best practices
-
-
Manage
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
-
Data and AI governance must team up for AI to succeed
-
How to secure sensitive data when offboarding employees
-
Building a strong data analytics platform architecture
-
Data Management/Data Warehousing Basics
-
Get Started
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
-
Get Started
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
-
Get Started
9 metadata management standards that guide success
Organizations looking to implement metadata management can choose from existing standards that support archiving, sciences, finance and other digital resources.
Multimedia
Vendor Resources
- Deployment Services for AI Infrastructure –White Paper
- Put AI to work for nonprofits –eBook
- ServiceNow field service management use cases –Product Overview
-
News
View All -
Data management strategies
Web data search specialist Nimble raises $47M to fuel growth
By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources.
-
Data management strategies
New Databricks tool targets streaming data cost, complexity
With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform.
-
Data management strategies
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors.
Search Data Management Definitions
- What is customer data integration (CDI)?
- What is data analytics (DA)?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?
- What is data stewardship?
- What is a pivot table? How to use in Excel and Sheets
- What is Microsoft SSIS (SQL Server Integration Services)?
- What is data quality and why is it important?