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Building a strong data analytics platform architecture
Data analytics platforms are crucial for information-driven enterprises. With the right architecture, organizations can gain meaningful insights and gain a competitive edge.
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Alteryx launches in-warehouse data prep tool for BigQuery
Live Query for BigQuery eliminates the need to move data between systems, saving customers from spending on data egress and reducing the risk of security leaks.
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Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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The trust-at-speed paradox: Most data governance wasn't built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production.
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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 Manage
Building a strong data analytics platform architecture
Data analytics platforms are crucial for information-driven enterprises. With the right architecture, organizations can gain meaningful insights and gain a competitive edge.
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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
Alteryx launches in-warehouse data prep tool for BigQuery
Live Query for BigQuery eliminates the need to move data between systems, saving customers from spending on data egress and reducing the risk of security leaks.
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Data Integration News
Teradata's AgentStack aims to simplify building, managing AI
Featuring capabilities for developing, deploying and governing agents, the vendor's new suite addresses many of the problems enterprises face when trying to launch agentic systems.
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Data Governance Evaluate
The trust-at-speed paradox: Most data governance wasn't built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production.
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The trust-at-speed paradox: Most data governance wasn't built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production.
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Modern data architectures as a risk management strategy
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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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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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Building a strong data analytics platform architecture
Data analytics platforms are crucial for information-driven enterprises. With the right architecture, organizations can gain meaningful insights and gain a competitive edge.
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Modernized big data architecture a must for AI to deliver
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How data lineage became a boardroom metric
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Top trends in big data for enterprises in 2026
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Data Management/Data Warehousing Basics
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Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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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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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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Data management strategies
Alteryx launches in-warehouse data prep tool for BigQuery
Live Query for BigQuery eliminates the need to move data between systems, saving customers from spending on data egress and reducing the risk of security leaks.
-
Data integration
Teradata's AgentStack aims to simplify building, managing AI
Featuring capabilities for developing, deploying and governing agents, the vendor's new suite addresses many of the problems enterprises face when trying to launch agentic systems.
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Data integration
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.
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