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Oracle's new Exadata architecture targets efficiency, cost
With Exascale, the tech giant aims to improve the efficiency of its relational database platform to handle GenAI workloads while dramatically reducing costs with new pricing.
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How GenAI-created synthetic data improves augmentation
Synthetic data can enhance the performance and capabilities of data augmentation techniques. Navigate the challenges generative AI models present to reap the benefits.
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Data quality specialist Soda secures $14M to fuel expansion
The Europe-based vendor intends to use its latest funding to shift its growth focus to the U.S. while also continuing to invest in its AI-fueled observability platform.
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Graph technology helps battle election misinformation
Backed by a grant from Neo4j, including free use of its platform, Syracuse University is exposing coordinated networks that spread election misinformation on social media.
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Data science and analytics News
MicroStrategy's latest delivers embedded AI-powered insights
The longtime independent analytics vendor's new platform update combines embedded BI with generative AI to deliver AI-powered insights to users within the flow of their work.
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Database Management Get Started
Graph database vs. relational database: Key differences
Graph databases offer plenty of advantages for enterprises, but relational databases still top the market. Both emphasize relationships between data, but how do they compare?
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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
Oracle's new Exadata architecture targets efficiency, cost
With Exascale, the tech giant aims to improve the efficiency of its relational database platform to handle GenAI workloads while dramatically reducing costs with new pricing.
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Data Integration Get Started
7 data modeling techniques and concepts for business
Three types of data models and various data modeling techniques are available to data management teams to help convert data into valuable business information.
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Data Governance Manage
Evaluating data quality requires clear and measurable KPIs
KPIs and metrics are necessary to measure the quality of data. Organizations can use the dimensions of data quality to establish metrics and KPIs for their specific needs.
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What is data architecture? A data management blueprint
Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data, as this guide explains.
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Evaluate and choose from the top 10 data profiling tools
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Data readiness unlocks the potential of AI
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Managing databases in a hybrid cloud: 10 key considerations
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Problem Solve
Data lake governance: Benefits, challenges and getting started
A data lake that isn't well governed might become more of a swamp. Explore the key benefits and challenges of data governance in a data lake, plus initial steps to take.
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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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Data management best practices key to generative AI success
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Manage
Evaluating data quality requires clear and measurable KPIs
KPIs and metrics are necessary to measure the quality of data. Organizations can use the dimensions of data quality to establish metrics and KPIs for their specific needs.
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Multi-cloud databases: How to deploy and manage them
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RDBMS
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10 best practices for managing data in microservices
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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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7 data modeling techniques and concepts for business
Three types of data models and various data modeling techniques are available to data management teams to help convert data into valuable business information.
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Get Started
How GenAI-created synthetic data improves augmentation
Synthetic data can enhance the performance and capabilities of data augmentation techniques. Navigate the challenges generative AI models present to reap the benefits.
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Get Started
master data management
Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.
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Data management strategies
Oracle's new Exadata architecture targets efficiency, cost
With Exascale, the tech giant aims to improve the efficiency of its relational database platform to handle GenAI workloads while dramatically reducing costs with new pricing.
-
Data management strategies
Data quality specialist Soda secures $14M to fuel expansion
The Europe-based vendor intends to use its latest funding to shift its growth focus to the U.S. while also continuing to invest in its AI-fueled observability platform.
-
Data management strategies
Graph technology helps battle election misinformation
Backed by a grant from Neo4j, including free use of its platform, Syracuse University is exposing coordinated networks that spread election misinformation on social media.