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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Addressing 10 data governance challenges is necessary to avoid financial loss and reputation damage.
News
AWS reimagines SageMaker as suite for data, analytics, AI
The service is now a unified platform featuring a data catalog, lakehouse and integrations with other AWS platforms.
News
Couchbase unveils suite of services for developing AI
The new services include access to LLMs and unstructured data transformation aimed at enabling customers to build AI tools.
News
How to get data ready for AI development
Factors including a combination of commitment to data quality, proper technology and pertinent processes are key to preparing data for feeding models and applications.
Trending Topics
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Data science and analytics Evaluate
6 data preparation best practices for analytics applications
Analytics applications need clean data to produce actionable insights. Six data preparation best practices can turn your messy data into high-quality fuel for analytics operations.
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Database Management Get Started
NoSQL database types explained: Column-oriented databases
Learn about the uses of column-oriented databases and the large data model, data warehouses and high-performance querying benefits the NoSQL database brings to organizations.
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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
Acceldata unveils AI-powered data observability tools
The vendor's update includes features such as error detection with root cause analysis and schema reconciliation that use AI to automate finding and fixing data integrity problems.
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Data Integration News
Snowflake unveils AI development, security capabilities
The vendor's latest includes additions to Cortex AI that simplify developing conversational AI tools and new security measures after its environment was infiltrated in May.
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Data Governance Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Addressing 10 data governance challenges is necessary to avoid financial loss and reputation damage.
Sponsored Sites
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Servers
Server Buying Considerations 2023
This site focusses on key server buying considerations for IT decision makers in 2023 and beyond, with an emphasis on innovations in server design, security, sustainability, automation, and financing flexibility from Dell Technologies and Intel®.
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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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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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Evaluate
Vectorized data uses see resurgence with generative AI
Advancements in generative AI are driving renewed interest in vector databases. Organizations have also found new uses for the established technology.
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Metadata management tools: 9 top options to fulfill key needs
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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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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Addressing 10 data governance challenges is necessary to avoid financial loss and reputation damage.
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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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7 steps to create a data loss prevention policy
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Manage
NoSQL database types explained: Key-value store
Utilizing a key-value store can improve data processing speeds and scalability for data operations that do not require complex queries or analytics.
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Top 5 metadata management best practices
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Understand Microsoft Copilot security concerns
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How to make a metadata management framework
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Data Management/Data Warehousing Basics
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Get Started
What is data egress? How it works and how to manage costs
Data egress is when data leaves a closed or private network and is transferred to an external location.
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Get Started
Noninvasive data governance offers friendly approach
Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as components of a governance program.
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Get Started
What is data?
In computing, data is information translated into a form that is efficient for movement or processing.
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News
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Data management strategies
Acceldata unveils AI-powered data observability tools
The vendor's update includes features such as error detection with root cause analysis and schema reconciliation that use AI to automate finding and fixing data integrity problems.
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Data management strategies
AWS reimagines SageMaker as suite for data, analytics, AI
The service is now a unified platform featuring a data catalog, lakehouse and integrations with other AWS platforms.
-
Data governance
Couchbase unveils suite of services for developing AI
The new services include access to LLMs and unstructured data transformation aimed at enabling customers to build AI tools.
Search Data Management Definitions
- What is data egress? How it works and how to manage costs
- What is data?
- What is Microsoft Visual FoxPro (VFP)?
- 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?