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The 5 components of a DataOps architecture
Reaping the benefits of DataOps requires good architecture. Use five core components to design a DataOps architecture that best fits organizational needs.
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AI boosts efficiency in data management
AI can automate tasks across every aspect of the data management process, enabling data teams to focus on models, not labeling and graphing.
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AtScale adds semantic layer support for AI, GenAI models
The vendor's new platform update centers around decision-making flexibility, collaboration and community, and includes a metadata hub along with support for advanced applications.
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Open source vs. proprietary database management
Open source and commercial databases are alternative options to help streamline data management processes. Examine the pros and cons of each approach.
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Data science and analytics News
Snowflake targets enterprise AI with launch of Arctic LLM
The data cloud vendor's open source LLM was designed to excel at business-specific tasks, such as generating code and following instructions, to enable enterprise-grade development.
Database Management Get Started
Vector vs. graph vs. relational database: Which to choose?
Vector databases enhance the use of generative AI. Organizations should consider how vector capabilities stack up vs. graph and relational databases before deciding which to use.
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 Get Started
The 5 components of a DataOps architecture
Reaping the benefits of DataOps requires good architecture. Use five core components to design a DataOps architecture that best fits organizational needs.
Data Integration News
Snowflake acquisition of Samooha adds data clean room tools
The data cloud vendor's purchase aims to give users a way to share data with partners and collaborate on decisions without compromising data privacy and security.
Data Governance Manage
7 steps to create a data loss prevention policy
Data loss prevention is an ever-changing process of proactive and reactive protection and planning. Read on to learn how to set up a successful DLP policy.
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Open source vs. proprietary database management
Open source and commercial databases are alternative options to help streamline data management processes. Examine the pros and cons of each approach.
Different types of database management systems explained
Trusted data is the foundation of data-driven decisions, GenAI
On-premises vs. cloud data warehouses: Pros and cons
Problem Solve
7 steps to create a data loss prevention policy
Data loss prevention is an ever-changing process of proactive and reactive protection and planning. Read on to learn how to set up a successful DLP policy.
6 data privacy challenges and how to fix them
Data management best practices key to generative AI success
Grow data trust to avoid customer and corporate consequences
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AI boosts efficiency in data management
AI can automate tasks across every aspect of the data management process, enabling data teams to focus on models, not labeling and graphing.
Use these 10 steps to successfully build your data culture
Data management trends: GenAI, governance and lakehouses
Should you run your database on premises or in the cloud?
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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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information
Information is the output that results from analyzing, contextualizing, structuring, interpreting or in other ways processing data.
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The 5 components of a DataOps architecture
Reaping the benefits of DataOps requires good architecture. Use five core components to design a DataOps architecture that best fits organizational needs.
Get Started
Hadoop Distributed File System (HDFS)
The Hadoop Distributed File System (HDFS) is the primary data storage system Hadoop applications use.
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AtScale adds semantic layer support for AI, GenAI models
The vendor's new platform update centers around decision-making flexibility, collaboration and community, and includes a metadata hub along with support for advanced applications.
Data management strategies
Collibra launches AI Governance, unveils GenAI capabilities
The vendor's AI Governance suite enables users to ensure the quality and security of AI models while new GenAI features let them automate data quality and governance.
Data management strategies
Coalesce raises $50M to expand data transformation platform
The startup's new funding is a vote of confidence from investors given how difficult it has been for technology vendors to secure financing over the past two years.