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Snowflake launches auto industry-specific AI capabilities
The latest AI Manufacturing Data Cloud update adds features aimed at helping auto manufacturers deal with massive amounts of data being created by the industry's evolution.
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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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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.
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Oracle Exadata update boosts performance to meet AI needs
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Latest Neo4j release aims to simplify graph technology
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Data Integration Get Started
The difference between data cleansing and data transformation
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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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6 dimensions of data quality boost data performance
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Data lake governance: Benefits, challenges and getting started
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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
Latest Neo4j release aims to simplify graph technology
Prebuilt algorithms that reduce the complexity of queries and connectivity to any data source are designed to make graph-based analysis accessible to a broader audience.
-
Data management strategies
Snowflake launches auto industry-specific AI capabilities
The latest AI Manufacturing Data Cloud update adds features aimed at helping auto manufacturers deal with massive amounts of data being created by the industry's evolution.
-
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.
Search Data Management Definitions
- What is data transformation? Definition, types and benefits
- 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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