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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.
Manage
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.
Evaluate
The top 2026 data conferences to plan enterprise strategy
This guide lists events that can help data leaders assess how AI fits into their current architecture and identify improvements needed to meet future data demands.
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Top trends in big data for enterprises in 2026
As AI systems mature, organizations must evaluate models, infrastructure and governance frameworks that balance cost, compliance and performance this year and beyond.
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Data science and analytics Evaluate
Data science applications across industries in 2026
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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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 News
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 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 Manage
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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Information Management
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The top 2026 data conferences to plan enterprise strategy
This guide lists events that can help data leaders assess how AI fits into their current architecture and identify improvements needed to meet future data demands.
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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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Different types of database management systems explained
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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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Get Started
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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Get Started
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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Get Started
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 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.
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Data management strategies
Snowflake storms into IT monitoring with Observe acquisition
Historically focused on data management and AI development, the vendor is adding infrastructure observability capabilities in a move that could differentiate it from 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?