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New Actian features target data discoverability, reliability
Automatically embedded data governance, data product registration on a data marketplace platform and a natural language interface aim to make trusted data easier to discover.
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Why Apache Iceberg is essential for modern data lakehouses
Organizations adopt Apache Iceberg to build open data lakehouses that support high-performance analytics, multi-cloud strategies and warehouse-grade reliability.
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Teradata extends AI development to on-premises environments
For enterprises concerned about cloud cost control and data sovereignty, the longtime vendor's new platform enables users to build advanced AI tools in their own systems.
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As Ocient matures, vendor names new CEO to drive growth
As the vendor moves from its startup to growth phase, John Morris, who has significant experience leading companies as they mature, is taking over to guide its evolution.
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Data science and analytics News
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
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Database Management News
Informatica to build agents, foster agentic AI development
With agents now a major trend in data management, the vendor plans to join the fray by developing agentic capabilities and providing customers with the tools to do the same.
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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
Confluent platform update targets performance, simplicity
The vendor's latest release replaces its coordinating technology to make its tools easier to use and updates its Control Center for more efficient streaming data workloads.
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Data Integration News
Customers pleased with Snowflake plans for AI
Features including a multimodal data ingestion and integration service that enables access to unstructured data demonstrate the vendor's move toward enabling app development.
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Data Governance News
Addition of new AI capabilities shows Starburst's growth
The open source data lakehouse vendor continues to evolve beyond being a data mesh specialist with the additions of agentic tools, a development environment and a data catalog.
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Artificial Intelligence
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Why Apache Iceberg is essential for modern data lakehouses
Organizations adopt Apache Iceberg to build open data lakehouses that support high-performance analytics, multi-cloud strategies and warehouse-grade reliability.
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Why data platforms matter for AI agents and MCP success
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The difference between data cleansing and data transformation
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Unified databases: A powerhouse behind generative AI success
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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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Hybrid data management strategy for enterprise AI success
Hybrid data management gives organizations the access, control and agility needed to support reliable and scalable enterprise AI across various environments.
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AI data governance is a requirement, not a luxury
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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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Data Management/Data Warehousing Basics
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What is database as a service (DBaaS)?
Database as a service (DBaaS) is a cloud computing managed service offering that provides access to a database without requiring the setup of physical hardware, the installation of software or the need to configure the database.
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What is stream processing? Introduction and overview
Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time.
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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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Data management strategies
Confluent platform update targets performance, simplicity
The vendor's latest release replaces its coordinating technology to make its tools easier to use and updates its Control Center for more efficient streaming data workloads.
-
Data management strategies
New Actian features target data discoverability, reliability
Automatically embedded data governance, data product registration on a data marketplace platform and a natural language interface aim to make trusted data easier to discover.
-
Data management strategies
Teradata extends AI development to on-premises environments
For enterprises concerned about cloud cost control and data sovereignty, the longtime vendor's new platform enables users to build advanced AI tools in their own systems.
Search Data Management Definitions
- What is database as a service (DBaaS)?
- What is stream processing? Introduction and overview
- What is data transformation? Definition, types and benefits
- 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 egress? How it works and how to manage costs