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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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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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Monte Carlo launches first agents for data observability
Though the vendor already provides monitoring and troubleshooting capabilities, generative AI-powered agents for each aim to make instantaneous tasks that previously took days.
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Google enters new era of AI for data with launch of agents
Agentic AI applications for data engineering and data science along with a new underlying knowledge engine aim to make data management and analytics easier and more efficient.
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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 Management Strategies 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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Snowflake embraces open source with full support for Iceberg
Three years after providing limited support for open data storage, the data platform vendor is signaling its embrace of open source with full support for the open table format.
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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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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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AI's appetite for data is changing data requirements
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Turning data into a strategic advantage
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18 top data catalog software tools to consider using in 2025
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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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Manage
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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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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What is a data lake?
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed for analytics applications.
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What is data preprocessing? Key steps and techniques
Data preprocessing, a component of data preparation, describes any type of processing performed on raw data to prepare it for another data processing procedure.
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Data management strategies
Monte Carlo launches first agents for data observability
Though the vendor already provides monitoring and troubleshooting capabilities, generative AI-powered agents for each aim to make instantaneous tasks that previously took days.
-
Data management strategies
Google enters new era of AI for data with launch of agents
Agentic AI applications for data engineering and data science along with a new underlying knowledge engine aim to make data management and analytics easier and more efficient.
-
Data integration
Snowflake embraces open source with full support for Iceberg
Three years after providing limited support for open data storage, the data platform vendor is signaling its embrace of open source with full support for the open table format.
Search Data Management Definitions
- 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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- What is data egress? How it works and how to manage costs
- What is data?
- What is Microsoft Visual FoxPro (VFP)?