New & Notable
News
Monte Carlo aids data observability with root cause analysis
The vendor's new capabilities are designed to enable Databricks and GitLab users to quickly discover and resolve the underlying causes of data quality problems.
News
SingleStore's BryteFlow acquisition targets data integration
The data platform vendor's purchase adds full change data capture capabilities and is aimed at improving data ingestion and integration from applications and databases.
News
Cockroach Labs adds vector search, updates pricing options
The database vendor's new update includes an integration with pgvector that provides users with the vector search capabilities needed to feed RAG pipelines and develop GenAI tools.
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.
Trending Topics
-
Data science and analytics News
ThoughtSpot taps Salesforce exec Karkhanis to be new CEO
As analytics enters a new era dominated by GenAI, the vendor has named former Salesforce Sales Cloud and Einstein Analytics leader Ketan Karkhanis its new chief executive officer.
-
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.
-
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.
-
Data Management Strategies Manage
Top 5 metadata management best practices
Organizations must craft a strategy, assemble a team and adopt standards to develop a strong metadata management strategy and ensure data accuracy, consistency and quality.
-
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.
-
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.
Featured Authors
Find Solutions For Your Project
-
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.
-
Generative AI shines spotlight on data governance and trust
-
Cloud database comparison: AWS, Microsoft, Google and Oracle
-
Top 6 data fabric tools providers
-
-
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.
-
Data lake governance: Benefits, challenges and getting started
-
7 steps to create a data loss prevention policy
-
6 data privacy challenges and how to fix them
-
-
Manage
Top 5 metadata management best practices
Organizations must craft a strategy, assemble a team and adopt standards to develop a strong metadata management strategy and ensure data accuracy, consistency and quality.
-
Understand Microsoft Copilot security concerns
-
How to make a metadata management framework
-
10 top vector database options for similarity searches
-
-
E-Handbook | November 2021
Chief data officer challenges mount amid calls for more value
Download -
E-Handbook | January 2021
Enterprise data lakes hold the key to actionable insights
Download -
E-Handbook | August 2020
Metamorphosis of Kafka Confluent event streaming technologies
Download -
E-Handbook | June 2020
Data integration technologies unify multiple data stores
Download -
E-Handbook | May 2020
Big data security management embraces governance, privacy
Download
Data Management/Data Warehousing Basics
-
Get Started
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.
-
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.
-
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.
Multimedia
-
News
View All -
Data management strategies
Monte Carlo aids data observability with root cause analysis
The vendor's new capabilities are designed to enable Databricks and GitLab users to quickly discover and resolve the underlying causes of data quality problems.
-
Data management strategies
SingleStore's BryteFlow acquisition targets data integration
The data platform vendor's purchase adds full change data capture capabilities and is aimed at improving data ingestion and integration from applications and databases.
-
Data management strategies
Cockroach Labs adds vector search, updates pricing options
The database vendor's new update includes an integration with pgvector that provides users with the vector search capabilities needed to feed RAG pipelines and develop GenAI 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?