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18 top big data tools and technologies to know about in 2026
Numerous tools are available to use in big data applications. Here are 18 popular open source big data technologies, with details on their key features and use cases.
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Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
News
Operational resilience is a benchmark for executive success
Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability.
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How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
Trending Topics
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Data science and analytics News
ThoughtSpot boosts agentic push with Analyst Studio update
A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it evolves toward becoming an agentic data platform.
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Database Management News
Operational resilience is a benchmark for executive success
Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability.
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Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
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Data Management Strategies News
Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors.
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Data Integration Get Started
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
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Data Governance Manage
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
Sponsored Sites
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Collaboration
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Enhancing Generative AI for Independent Software Vendors (ISVs)
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Artificial Intelligence
NeuraFlash & Amazon Connect
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Evaluate
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
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Operational resilience is a benchmark for executive success
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How cyber insurance requirements reshape backup architecture
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The future of AI depends on better data, not bigger models
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Problem Solve
How to cut data loss risks when employees leave
How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets.
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Residual access failures put data at risk
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10 data governance challenges that can sink data operations
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7 data cleansing best practices
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Manage
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
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Data and AI governance must team up for AI to succeed
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How to secure sensitive data when offboarding employees
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Building a strong data analytics platform architecture
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Data Management/Data Warehousing Basics
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Get Started
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
-
Get Started
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
-
Get Started
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
Multimedia
Vendor Resources
- Simplified Private Cloud Orchestration with Service Now and Wind River –Product Overview
- Simplified Private Cloud Orchestration with Service Now and Wind River –Product Overview
- The Business Value of AI for IT Solutions –White Paper
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News
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Data management strategies
Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors.
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Data management strategies
Web data search specialist Nimble raises $47M to fuel growth
By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources.
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Data management strategies
New Databricks tool targets streaming data cost, complexity
With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform.
Search Data Management Definitions
- What is customer data integration (CDI)?
- What is data analytics (DA)?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?
- What is data stewardship?
- What is a pivot table? How to use in Excel and Sheets
- What is Microsoft SSIS (SQL Server Integration Services)?
- What is data quality and why is it important?