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New Snowflake suite simplifies data, AI for energy sector
Energy Solutions joins the vendor's spate of industry-specific offerings and includes partner-built applications and pre-modeled datasets that accelerate data-driven initiatives.
Data Technologies outlook on 2026: The year of data is here
Data will be the backbone of success in 2026. As AI reshapes data management, organizations must balance innovation with ethics, governance and high-quality data to thrive.
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Modern data architectures as a risk management strategy
As organizations modernize their data systems, architecture choices will determine how risk is governed, disruptions are absorbed, and regulatory obligations are managed over time.
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ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases.
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Data science and analytics News
GoodData launches MCP server to fuel AI-powered analysis
By connecting its platform and customers' AI tools, the vendor is enabling users to automate the analytics workflow and speed insight generation.
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Database Management Evaluate
Different types of database management systems explained
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS.
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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.
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Data Management Strategies Evaluate
Modern data architectures as a risk management strategy
As organizations modernize their data systems, architecture choices will determine how risk is governed, disruptions are absorbed, and regulatory obligations are managed over time.
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Data Integration News
4 trends that shaped data management, analytics in 2025
With each relating to agentic AI development, tendencies included nearly universal support for MCP and rising emphasis on semantic modeling, among others.
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Data Governance
Data Technologies outlook on 2026: The year of data is here
Data will be the backbone of success in 2026. As AI reshapes data management, organizations must balance innovation with ethics, governance and high-quality data to thrive.
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Intelligent Agreement Management
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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.
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Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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Modern data architectures as a risk management strategy
As organizations modernize their data systems, architecture choices will determine how risk is governed, disruptions are absorbed, and regulatory obligations are managed over time.
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The top 2026 data conferences to plan enterprise strategy
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2026 will be the year data becomes truly intelligent
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Data architecture vs. information architecture: How they differ
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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Address 10 data governance challenges to avoid financial loss, derailed operations and reputation damage.
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7 data cleansing best practices
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6 dimensions of data quality boost data performance
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Data lake governance: Benefits, challenges and getting started
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How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments.
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Top trends in big data for enterprises in 2026
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Data governance roles span the enterprise
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How to build a data catalog: 10 key steps
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Data Management/Data Warehousing Basics
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10 essential roles for a data management team in 2026
These 10 essential data management roles help leaders design teams that support governance, scale and trusted analytics across modern enterprise data environments.
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How to build a data catalog: 10 key steps
A data catalog helps business and analytics users explore data assets, find relevant data and understand what it means. Here are 10 important steps for building one.
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What is customer data integration (CDI)?
Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.
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Data management strategies
ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases.
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Data management strategies
ScyllaDB X Cloud update addresses database cost, performance
Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, analytics and AI initiatives.
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Data management strategies
MongoDB launches latest Voyage models to aid AI development
With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to make agents and other tools more effective.
Search Data Management Definitions
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