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Fivetran adds reverse ETL with acquisition of Census
The data integration specialist's purchase provides users with complementary capabilities that enable them to send transformed data back to applications where decisions are made.
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StarTree aims to simplify AI development with new features
The database vendor plans to add support for Model Context Protocol and automated vector embedding capabilities to make it faster and easier to benefit from agentic AI.
News
StarTree aims to simplify AI development with new features
The database vendor plans to add support for Model Context Protocol and automated vector embedding capabilities to make it faster and easier to benefit from agentic AI.
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Acceldata launches agentic AI-powered anomaly detection
The data observability specialist's new feature uses agentic AI to ensure that the data used to inform analytics and AI tools is high quality and won't lead to poor decisions.
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Data science and analytics News
Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications.
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Database Management News
Pinecone provides Assistant for generative AI development
The vector database specialist is expanding beyond managing data with a suite of APIs and other tools that enable users to tap into their data to create chatbots and agents.
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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
Fivetran adds reverse ETL with acquisition of Census
The data integration specialist's purchase provides users with complementary capabilities that enable them to send transformed data back to applications where decisions are made.
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Data Integration Get Started
The difference between data cleansing and data transformation
Data cleansing corrects errors to improve data quality, while data transformation changes data format and structure to support analytics processes.
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Data Governance Evaluate
Unified databases: A powerhouse behind generative AI success
Unified databases support generative AI (GenAI) by integrating all data types into a single platform, streamlining infrastructure and improving scalability, speed and trust.
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The difference between data cleansing and data transformation
Data cleansing corrects errors to improve data quality, while data transformation changes data format and structure to support analytics processes.
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Unified databases: A powerhouse behind generative AI success
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AI's appetite for data is changing data requirements
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Turning data into a strategic advantage
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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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AI data governance is a requirement, not a luxury
Data governance is the backbone of any data initiative. Properly managing the new data risks and regulations of AI technologies requires the addition of AI data governance.
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Top trends in big data for 2025 and beyond
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Human oversight enables automated data governance
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NoSQL database types explained: Key-value store
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Data Management/Data Warehousing Basics
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What is data transformation? Definition, types and benefits
Data transformation is the process of converting data from one format -- such as a database file, Extensible Markup Language (XML) document or Excel spreadsheet -- into another format.
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Get Started
The difference between data cleansing and data transformation
Data cleansing corrects errors to improve data quality, while data transformation changes data format and structure to support analytics processes.
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Get Started
What is data profiling?
Data profiling refers to the process of examining, analyzing, reviewing and summarizing data sets to gain insight into the quality of data.
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Data management strategies
Fivetran adds reverse ETL with acquisition of Census
The data integration specialist's purchase provides users with complementary capabilities that enable them to send transformed data back to applications where decisions are made.
-
Data management strategies
StarTree aims to simplify AI development with new features
The database vendor plans to add support for Model Context Protocol and automated vector embedding capabilities to make it faster and easier to benefit from agentic AI.
-
Data management strategies
StarTree aims to simplify AI development with new features
The database vendor plans to add support for Model Context Protocol and automated vector embedding capabilities to make it faster and easier to benefit from agentic AI.
Search Data Management Definitions
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- What is data profiling?
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- What is data preprocessing? Key steps and techniques
- What is data cleansing (data cleaning, data scrubbing)?
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