Data Management: Page
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Expert Advice
Use RAG with LLMs to democratize data analytics
Pairing retrieval-augmented generation with an LLM helps improve prompts and outputs, democratizing data access and making previously elusive information available to more users.
By Bill Schmarzo • Aug. 13, 2024 -
Expert Advice // Bolster AI initiatives with vector databases
10 top vector database options for similarity searches
Vector databases excel in different areas of vector searches, including sophisticated text and visual options. Choose the platform that best fits organizational needs.
By Donald Farmer • Aug. 8, 2024 -
What is the Coalition for Secure AI (CoSAI)?
Coalition for Secure AI (CoSAI) is an open source initiative to enhance artificial intelligence's security.
By Ava DePasquale • Aug. 8, 2024 -
6 steps in fact-checking AI-generated content
Generative AI tools are now prevalent, yet the extent of their accuracy isn't always clear. Users should question an AI's outputs and verify them before accepting them as fact.
By Cameron Hashemi-Pour • Aug. 6, 2024 -
Opinion
Generative AI shines spotlight on data governance and trust
Generative AI creates new opportunities for how organizations use data. Strong data governance is necessary to build trust in the data AI models use.
By Stephen Catanzano • Aug. 6, 2024 -
Video
An explanation of large language models
Large language models can be traced back to 1966 but are significantly more sophisticated today.
By Sabrina Polin • Aug. 5, 2024 -
What is a data flow diagram (DFD)?
A data flow diagram (DFD) is a graphical or visual representation that uses a standardized set of symbols and notations to describe a business's operations through data movement.
By Scott Robinson , Tom Nolle • Aug. 2, 2024 -
New Snowflake service enables secure AI, ML deployment
Snowpark Container Services aims to provide the vendor's users with a secure environment for deploying and managing models and applications without having to move their data.
By Eric Avidon • Aug. 1, 2024 -
Video
An explanation of prompt engineering
Prompt engineering is responsible for training AI language models to ensure accurate outputs in AI chatbots.
By Tommy Everson • Aug. 1, 2024 -
New features make Google’s Spanner a database for AI
The introduction of graph processing, vector search and full-text search optimize Spanner for developing and managing modern applications and models, including GenAI.
By Eric Avidon • Aug. 1, 2024 -
What is data democratization?
Data democratization makes information in a digital format accessible to the average end user.
By Scott Robinson • July 31, 2024 -
Astronomer adds DBT Core support to data orchestration suite
The vendor's latest Astro platform update integrates the open source transformation tool to help users better prepare information for analytics and AI models and applications.
By Eric Avidon • July 31, 2024 -
What is data loss prevention (DLP)?
Data loss prevention (DLP) -- sometimes referred to as 'data leak prevention,' 'information loss prevention' or 'extrusion prevention' -- is a strategy to mitigate threats to critical data.
By Garry Kranz, Andy Patrizio, Cameron Hashemi-Pour • July 30, 2024 -
What is denormalization and how does it work?
Denormalization is the process of adding precomputed redundant data to an otherwise normalized relational database to improve read performance.
By Jack Vaughan, Rahul Awati, Gavin Wright • July 29, 2024 -
What is electronic data processing (EDP)?
Electronic data processing (EDP) refers to the gathering of data using electronic devices, such as computers, servers and internet of things (IoT) technologies.
By Rahul Awati, Cameron Hashemi-Pour • July 26, 2024 -
What is data lifecycle?
A data lifecycle is the sequence of stages that a unit of data goes through from its initial generation or capture to its archiving or deletion at the end of its useful life.
By Paul Kirvan, Cameron Hashemi-Pour, Ivy Wigmore • July 26, 2024 -
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.
By Scott Robinson, Craig Stedman, Aislyn Fredsall • July 25, 2024 -
What is data labeling?
Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models.
By Cameron Hashemi-Pour, Alexander Gillis, Ivy Wigmore • July 25, 2024 -
Expert Advice // Data governance model
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.
By Jeff McCormick • July 25, 2024 -
Expert Advice
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.
By Chris Foot • July 24, 2024 -
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.
By Scott Robinson , Tom Nolle • July 24, 2024 -
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.
By Mary Pratt • July 22, 2024 -
Video
An explanation of advanced vs. predictive analytics
Predictive analytics is a type of advanced analytics. Learn more in this video.
By Sabrina Polin • July 18, 2024 -
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.
By Sean Kerner • July 17, 2024 -
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.
By Eric Avidon • July 17, 2024