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Metadata management tools: 9 top options to fulfill key needs
Metadata management tools can range from comprehensive packages of many features to masters of a specific niche. Consider 9 of the top options to find which fits your needs best.
News
Fivetran targets data security by adding Hybrid Deployment
The vendor's new feature aims to aid organizations that deal with sensitive data by enabling them to manage pipelines from private clouds and on-premises environments.
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5 data governance framework examples
Data governance isn't plug and play: Organizations must select which data governance framework best fits their business goals and needs.
News
Oracle keeps AI focus with database updates, new data lake
Updates to HeatWave and Database 23ai, along with the introduction of Intelligent Data Lake, are all aimed at better enabling customers to develop artificial intelligence tools.
Trending Topics
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Data science and analytics Get Started
Data literacy training requires a dual approach
Data literacy training is a flexible learning process. Organizations can tailor training for their teams, but individuals can find educational resources to better their skills.
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Database Management News
InfluxData targets performance, adds self-managed version
The time series database specialist's update addresses performance to better handle complex real-time workloads and includes a new option for on-premises and private cloud users.
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Data Warehousing Evaluate
On-premises vs. cloud data warehouses: Pros and cons
Data warehouses increasingly are being deployed in the cloud. But both on-premises and cloud data warehouses have pluses and minuses to consider, as explained here.
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Data Management Strategies News
New Grafana Labs features aim to simplify observability
The vendor's latest set of capabilities includes prebuilt applications and automated features aimed at making it easier to use observability tools to monitor data and IT processes.
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Data Integration News
Fivetran targets data security by adding Hybrid Deployment
The vendor's new feature aims to aid organizations that deal with sensitive data by enabling them to manage pipelines from private clouds and on-premises environments.
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Data Governance Get Started
5 data governance framework examples
Data governance isn't plug and play: Organizations must select which data governance framework best fits their business goals and needs.
Find Solutions For Your Project
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Evaluate
Metadata management tools: 9 top options to fulfill key needs
Metadata management tools can range from comprehensive packages of many features to masters of a specific niche. Consider 9 of the top options to find which fits your needs best.
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Generative AI shines spotlight on data governance and trust
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Cloud database comparison: AWS, Microsoft, Google and Oracle
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Top 6 data fabric tools providers
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Problem Solve
6 dimensions of data quality boost data performance
Poor data quality can lead to costly mistakes and bad decision making. The six dimensions of data quality ensure accurate, complete, consistent, timely, valid and unique data.
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Data lake governance: Benefits, challenges and getting started
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7 steps to create a data loss prevention policy
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6 data privacy challenges and how to fix them
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Manage
Understand Microsoft Copilot security concerns
Microsoft Copilot raises security concerns around unauthorized or unintentional data access. Prevent leaks with vigilant oversight and comprehensive user access reviews.
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How to make a metadata management framework
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10 top vector database options for similarity searches
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How to use a data governance maturity model
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E-Handbook | November 2021
Chief data officer challenges mount amid calls for more value
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E-Handbook | January 2021
Enterprise data lakes hold the key to actionable insights
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E-Handbook | August 2020
Metamorphosis of Kafka Confluent event streaming technologies
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E-Handbook | June 2020
Data integration technologies unify multiple data stores
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E-Handbook | May 2020
Big data security management embraces governance, privacy
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Data Management/Data Warehousing Basics
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What is corporate performance management (CPM)?
Corporate performance management (CPM) encompasses the processes and methodologies used to align an organization's strategies and goals to its plans and actions as a business.
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Get Started
What is NoSQL (Not Only SQL database)?
NoSQL is an approach to database management that can accommodate a wide variety of data models, including key-value, document, columnar and graph formats.
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Get Started
What is a data fabric?
A data fabric is an architecture and software offering a unified collection of data assets, databases and database architectures within an enterprise.
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Data management strategies
New Grafana Labs features aim to simplify observability
The vendor's latest set of capabilities includes prebuilt applications and automated features aimed at making it easier to use observability tools to monitor data and IT processes.
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Data integration
Fivetran targets data security by adding Hybrid Deployment
The vendor's new feature aims to aid organizations that deal with sensitive data by enabling them to manage pipelines from private clouds and on-premises environments.
-
Data management strategies
Oracle keeps AI focus with database updates, new data lake
Updates to HeatWave and Database 23ai, along with the introduction of Intelligent Data Lake, are all aimed at better enabling customers to develop artificial intelligence tools.
Data Management Definitions
- What is corporate performance management (CPM)?
- What is NoSQL (Not Only SQL database)?
- What is a data fabric?
- What is Structured Query Language (SQL)?
- What is data validation?
- What is a data flow diagram (DDF)?
- What is denormalization and how does it work?
- What are data silos and what problems do they cause?