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Databricks intros suite to aid generative AI development
The data lakehouse vendor's new set of tools includes vector search and aims to enable users to develop data pipelines that train language models with proprietary data.
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New MongoDB tools enable generative AI development
The independent database vendor added vector search and workload management tools that work together to enable developers to build and run cutting-edge analytics applications.
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ESG data collection: Beginning steps and best practices
Sustainability initiatives won't succeed without quality data. Following an ESG data collection framework and best practices ensures program and reporting success.
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New AWS tools simplify access, management of data at scale
The tech giant revealed serverless tools that eliminate limitations on workload size as well as integrations that simplify access to data within the Amazon Web Services ecosystem.
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Data science and analytics News
AWS unveils Amazon Q in QuickSight to add more generative AI
The tech giant's new generative AI chatbot could help more employees within organizations work with data by enabling them to query and analyze data using conversational language.
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Database Management News
New MongoDB tools enable generative AI development
The independent database vendor added vector search and workload management tools that work together to enable developers to build and run cutting-edge analytics applications.
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Data Warehousing News
Databricks lands $500M in new funding, now valued at $43B
The data lakehouse pioneer recently acquired MosaicML for $1.3 billion and could use the new capital to finance acquisitions and further investment in generative AI.
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Data Management Strategies News
Databricks intros suite to aid generative AI development
The data lakehouse vendor's new set of tools includes vector search and aims to enable users to develop data pipelines that train language models with proprietary data.
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Data Integration Get Started
ESG data collection: Beginning steps and best practices
Sustainability initiatives won't succeed without quality data. Following an ESG data collection framework and best practices ensures program and reporting success.
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Data Governance Evaluate
Why non-invasive data governance is the best approach to use
Organizations typically approach data governance with top-down or traditional approaches. Consultant Robert Seiner discusses what makes his non-invasive approach the best option.
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Why non-invasive data governance is the best approach to use
Organizations typically approach data governance with top-down or traditional approaches. Consultant Robert Seiner discusses what makes his non-invasive approach the best option.
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Explore the benefits of AI for DataOps
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Organizations identify DataOps as driver to improve data use
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GenAI, Vector AI Search, multi-cloud top Oracle CloudWorld
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Problem Solve
Data management best practices key to generative AI success
Generative AI can create data, empower decision-makers and innovate competitive advantages. Organizations need strong data management practices to use it effectively.
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Grow data trust to avoid customer and corporate consequences
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Successful data analytics starts with the discovery process
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Avoid data sprawl with a single source of truth
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Manage
Do traditional data stacks have a use versus modern options?
Traditional data stacks differ from modern data stacks in the use of cloud and advanced analytics tools. Update on-premises data stacks to gain niche advantages over cloud options.
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Use knowledge graphs with databases to uncover new insights
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Data mesh aids democratization with decentralization
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Enhance data governance with distributed data stewardship
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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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ESG data collection: Beginning steps and best practices
Sustainability initiatives won't succeed without quality data. Following an ESG data collection framework and best practices ensures program and reporting success.
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5V's of big data
The 5 V's of big data -- velocity, volume, value, variety and veracity -- are the five main and innate characteristics of big data.
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database administrator (DBA)
A database administrator (DBA) is the information technician responsible for directing or performing all activities related to maintaining a successful database environment.
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Data management strategies
Databricks intros suite to aid generative AI development
The data lakehouse vendor's new set of tools includes vector search and aims to enable users to develop data pipelines that train language models with proprietary data.
-
Database management
New MongoDB tools enable generative AI development
The independent database vendor added vector search and workload management tools that work together to enable developers to build and run cutting-edge analytics applications.
-
Data management strategies
New AWS tools simplify access, management of data at scale
The tech giant revealed serverless tools that eliminate limitations on workload size as well as integrations that simplify access to data within the Amazon Web Services ecosystem.