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What is data lineage? Techniques, best practices and tools
Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and how data lineage tools can help.
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Collibra's acquisition of Deasy targets unstructured data
With AI development on the rise, the vendor's latest purchase better enables customers to combine the complete array of relevant data to inform advanced applications.
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StarTree adding Iceberg support to simplify, speed analysis
With open table data storage formats gaining popularity, the vendor's pending support for Apache Iceberg promotes flexibility while also making analysis more efficient.
StarTree adding Iceberg support to simplify, speed analysis
With open table data storage formats gaining popularity, the vendor's pending support for Apache Iceberg promotes flexibility while also making analysis more efficient.
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Data science and analytics Evaluate
Synthetic data vs. real data for predictive analytics
Synthetic data helps simulate rare events and meet privacy compliance, while real data preserves natural variability needed to evaluate models against unpredictable conditions.
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Informatica to build agents, foster agentic AI development
With agents now a major trend in data management, the vendor plans to join the fray by developing agentic capabilities and providing customers with the tools to do the same.
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Data Warehousing News
Oracle Exadata update boosts performance to meet AI needs
With database workloads growing due to the demands of AI development and real-time analytics, the tech giant's latest database infrastructure update focuses on efficiency.
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Data Management Strategies News
Informatica adds MCP support, spate of AI-fueled features
With Model Context Protocol helping standardize how enterprises develop and deploy agents, support for the open standard is valuable for customers building advanced applications.
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Data Integration News
Oracle adds MCP support to advance agentic AI development
Given that the open standard simplifies the complex process of connecting systems during agentic AI development, the tech giant's integration with MCP stands to benefit users.
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Data Governance Get Started
What is data lineage? Techniques, best practices and tools
Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and how data lineage tools can help.
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Data lake vs. data warehouse: Key differences explained
Data lakes and data warehouses differ in structure, processing and use cases, offering distinct advantages for enterprise analytics and data strategies.
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Data warehouse vs. data mart: Key differences and use cases
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Why Apache Iceberg is essential for modern data lakehouses
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Why data platforms matter for AI agents and MCP success
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Problem Solve
7 data cleansing best practices
Organizations rely on data for analytics and decision-making, but if that data is flawed, inconsistent or otherwise unreliable, it's not as valuable.
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10 data governance challenges that can sink data operations
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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 for AI is changing the modern data platform
Data platforms must evolve to meet AI requirements, with a greater focus on real-time integration, unified governance, infrastructure flexibility and data quality.
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Enterprise data platforms adapt for GenAI and agentic AI
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Hybrid data management strategy for enterprise AI success
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AI data governance is a requirement, not a luxury
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Data Management/Data Warehousing Basics
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What is data lineage? Techniques, best practices and tools
Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and how data lineage tools can help.
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Get Started
What is data orchestration?
Data orchestration is the process of automating, coordinating and organizing the movement of data across an enterprise through business intelligence (BI) and other analytical tools.
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What is database as a service (DBaaS)?
Database as a service (DBaaS) is a cloud computing managed service offering that provides access to a database without requiring the setup of physical hardware, the installation of software or the need to configure the database.
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Data management strategies
Informatica adds MCP support, spate of AI-fueled features
With Model Context Protocol helping standardize how enterprises develop and deploy agents, support for the open standard is valuable for customers building advanced applications.
-
Data management strategies
Collibra's acquisition of Deasy targets unstructured data
With AI development on the rise, the vendor's latest purchase better enables customers to combine the complete array of relevant data to inform advanced applications.
-
Data management strategies
StarTree adding Iceberg support to simplify, speed analysis
With open table data storage formats gaining popularity, the vendor's pending support for Apache Iceberg promotes flexibility while also making analysis more efficient.
Search Data Management Definitions
- What is data orchestration?
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- What is data preprocessing? Key steps and techniques
- What is data cleansing (data cleaning, data scrubbing)?