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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
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.
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.
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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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
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 Integration News
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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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.
Sponsored Sites
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Collaboration
Increase Productivity with a Scalable Collaboration Solution
Learn how Slack offers significant advantages in scalability, security, platform depth and integrations, engagement, and shared channels are valued by organisations when undertaking digital transformation initiatives.
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Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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Digital Migration
Migrate Off CentOS Linux With Confidence
CentOS Project will discontinue updates and releases of CentOS Linux® version 7 leaving many organizations to have to plan for a migration. Learn how easy it is to convert from CentOS to Red Hat Enterprise Linux on AWS.
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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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Get Started
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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Get Started
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
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 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.
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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.
Search Data Management Definitions
- What is data profiling?
- What is a data lake?
- What is data preprocessing? Key steps and techniques
- What is data cleansing (data cleaning, data scrubbing)?
- What is data transformation? Definition, types and benefits
- What is data egress? How it works and how to manage costs
- What is data?
- What is Microsoft Visual FoxPro (VFP)?