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Cloud database comparison: AWS, Microsoft, Google and Oracle
Here's a look at the rival cloud database offerings from AWS, Google, Microsoft and Oracle based on their product breadth, migration capabilities and pricing models.
Manage
IoT data management extends best practices to the edge
IoT devices generate and collect data from points all over the network. Organizations must apply general data management best practices to get the most value from IoT data.
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Top 6 data fabric tools providers
Organizations that want a data fabric architecture should consider how six top vendors use their suite of tools to support a range of data management, automation and AI capabilities.
News
Qlik launches Talend Cloud, aims to ensure data is trusted
The longtime BI vendor's new integration platform aims to deliver trust in the information users work with to inform analytics and AI models and applications.
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Data science and analytics Evaluate
The top augmented analytics tools vendors are offering
Augmented analytics tools play a crucial role in providing users of all technical skills levels access to AI and analytics daily. Consider 10 of the top options available.
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Database Management Evaluate
Cloud database comparison: AWS, Microsoft, Google and Oracle
Here's a look at the rival cloud database offerings from AWS, Google, Microsoft and Oracle based on their product breadth, migration capabilities and pricing models.
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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 Manage
IoT data management extends best practices to the edge
IoT devices generate and collect data from points all over the network. Organizations must apply general data management best practices to get the most value from IoT data.
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Data Integration News
Qlik launches Talend Cloud, aims to ensure data is trusted
The longtime BI vendor's new integration platform aims to deliver trust in the information users work with to inform analytics and AI models and applications.
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Data Governance Manage
How to use a data governance maturity model
A data governance maturity model identifies where current operations are lacking and how to make improvements that better protect and use data.
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Evaluate
Cloud database comparison: AWS, Microsoft, Google and Oracle
Here's a look at the rival cloud database offerings from AWS, Google, Microsoft and Oracle based on their product breadth, migration capabilities and pricing models.
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Top 6 data fabric tools providers
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What is data architecture? A data management blueprint
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Evaluate and choose from the top 10 data profiling tools
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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
How to use a data governance maturity model
A data governance maturity model identifies where current operations are lacking and how to make improvements that better protect and use data.
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IoT data management extends best practices to the edge
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Evaluating data quality requires clear and measurable KPIs
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Multi-cloud databases: How to deploy and manage them
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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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Get Started
What are data silos and what problems do they cause?
A data silo is a repository of data that's controlled by one department or business unit and isolated from the rest of an organization, much like grass and grain in a farm silo are closed off from outside elements.
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Get Started
What is a data architect?
A data architect is an IT professional responsible for defining the policies, procedures, models and technologies used in collecting, organizing, storing and accessing company information.
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Get Started
What is a vector database?
A vector database is a type of database technology that's used to store, manage and search vector embeddings, numerical representations of unstructured data that are also referred to simply as vectors.
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Data integration
Qlik launches Talend Cloud, aims to ensure data is trusted
The longtime BI vendor's new integration platform aims to deliver trust in the information users work with to inform analytics and AI models and applications.
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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.
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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 Definitions
- What are data silos and what problems do they cause?
- What is a data architect?
- What is a vector database?
- master data management (MDM)
- data structure
- database management system (DBMS)
- relational database
- What is data architecture? A data management blueprint