#dataArchitecture

LeMagIT

@lemagit.bsky.social

5 days ago

AIStor Table Sharing : MinIO convertit Databricks au cloud hybride | LeMagIT Alors qu’Ali Ghodsi, cofondateur et CEO de Databricks refusait mordicus l’extension de la plateforme vers les environnements sur site, voilà que ses clients l’ont poussé à faire le contraire. Et c’est...

Databricks lit vos données on-prem sans les migrer ni les répliquer. MinIO intègre Delta Sharing dans AIStor — sans réplication coûteuse. Signal architectural à suivre👇 #DataArchitecture https://bit.ly/4bAixxO

Pure Tech

@puretech.news

2 weeks ago

Unified data platform is essential for AI at scale, says Vast - SiliconANGLE Learn how a unified data platform reduces duplication, improves data placement and enables AI-scale performance across regions and clouds.

AI at scale is demanding a fundamentally different data architecture #Technology #EmergingTechnologies #ArtificialIntelligence #AI #DataArchitecture #EmergingTech

siliconangle.com/2026/02/27/unified-data-...

Neil.Bryan@DataMechanic.pro

@datamechanic.pro

1 month ago

Microsoft Fabric’s Real-Time Intelligence shifts data management from reactive batch processing to proactive, instant action. By treating "data in motion" as a priority, the ecosystem uses three core pillars to ensure operational resilience: Eventstreams: Captures and filters live data from various sources. Eventhouse (KQL): An engine optimized for high-volume, low-latency time-series analysis. Activator: A no-code tool that triggers immediate responses (like alerts or workflows) when thresholds are hit. Ultimately, the platform centralizes these streams into a Real-Time Hub, allowing businesses to move beyond "stale" reports and solve problems—such as equipment failure—the moment they occur.

Making Your Data Work for You: Moving Beyond the Overnight Batch

Fabric’s Real-Time Intelligence turns stale data into instant action, moving from batch to proactive

www.linkedin.com/pulse/making...

#DataEngineering
#MicrosoftFabric
#Fabric
#DataArchitecture
#BusinessIntelligence
#DataMechanic

@aerospikedb.bsky.social

1 month ago

#OLTP and #OLAP solve different problems

OLTP handles real-time, low-latency transactions. OLAP analyzes historical data for insight.

#Aerospike is built for predictable OLTP performance at scale, without slowing analytics downstream.

Read more: https://monkeylink.co/dc72ff

#DataArchitecture

@marryjw.bsky.social

1 month ago

Is your data infrastructure ready for modern enterprise demands? Enterprise NAS Architecture delivers high availability, and secure, low-latency access for mission-critical workloads.
Tap the link to read more: bit.ly/46RjZI4

#EnterpriseStorage #DataArchitecture

roxsross

@roxsross.bsky.social

1 month ago

📡 S3 es la nueva red: Replanteando la arquitectura de datos para la era de la nube

Olvida la premisa de almacenamiento junto a cómputo. El fut

thenewstack.io/4-data-architecture-deci...

#DataArchitecture #ObjectStorage #DecoupledCompute #RoxsRoss

IPH Technologies

@iphtechnologies.bsky.social

1 month ago

AI success doesn’t start with algorithms.
It starts with how your data is structured, accessed, and
governed.
Smart AI needs smarter foundations.

#DidYouKnow #AIInsights #DataArchitecture #AIEngineering #IPHTechnologies #FutureTech

Andreas Buckenhofer

@buckenhofer.com

1 month ago

One Database, Six Workloads: Analyzing F1 Telemetry With Oracle Converged Database - data.KISS A complete technical demo of the Oracle Converged Database. I analyze the Singapore GP using SQL for Spatial, Time Series, Graph, Vector Search.

My new post analyzes Formula 1 telemetry 🏎️ using Oracle Converged Database with 6 workloads: ✅ Relational ✅ JSON ✅ Time Series ✅ Spatial ✅ Graph ✅ Vector

Full breakdown & code: buckenhofer.com/2026/01/one-...

#DataEngineering #Oracle #SQL #F1 #DataArchitecture #ConvergedDatabase

542 Digital

@542digital.bsky.social

1 month ago

Transformational Architecture and Analysis

We recently helped a client move from a #Excel based database to a flexible #dataarchitecture that allowed granular validation & reconciliation on multiple datasets, custom key charts / tables / methodologies, secondary & tertiary checks + alerts

Read our case study: 542.digital/case-studies...

Visual Studio

@visualstudio.com

1 month ago

Becoming a Data Architect In this on-demand Live! 360 session, you’ll learn what it really means to be a data architect—far beyond just picking databases or tuning queries. Buck Woody walks through the mindset, frameworks, diagrams, and communication skills you need to design data systems that actually match how your business works. You’ll see how to translate fuzzy business requests into clear requirements and constraints, use architecture frameworks (like TOGAF, NIST, and the Microsoft Data Architecture Guide) as guardrails, and design data pipelines that cover storage, compute, movement, security, and business continuity. Along the way, Buck shows how visual tools (BPMN, ER diagrams, UML, architecture diagrams) help you align executives, developers, and ops on the same picture. Whether you’re a DBA, developer, or analytics engineer looking to level up, this session gives you a practical roadmap for growing into a data architect role. 🔑 What You’ll Learn • How a data architect thinks about requirements, constraints, and business continuity • Why defining business terms (like “inventory”) is critical before designing systems • How to work with executives using T-charts (requirements vs. constraints) and clear recap docs • The differences between IT, software, enterprise, cloud, solution, and data architects • How to use architecture frameworks (ISO/NIST, TOGAF, Microsoft frameworks, Azure Well-Architected) as guides • Visual “symbolics” every architect should know: ER diagrams, BPMN, UML, network and architecture diagrams • How to design around storage, compute, and data pipelines (comes-out-of → goes-into → goes-out-of) • Ways to reason about streaming vs. batch, and how to think in terms of data movement • A simple three-step improvement loop: codify → standardize → optimize • Practical career advice for aspiring data architects (from DBA or non-data backgrounds), including using LLMs to build a self-study syllabus ⏱️ Chapters 00:00 Becoming a data architect: role, definition & business continuity 01:39 Core capabilities: requirements, communication & understanding the business 06:53 Constraints, T-charts & working with executives 09:16 Certifications, self-learning & motivation 10:04 Types of architects: IT, software, enterprise, cloud, solution & data 11:24 IT architects, frameworks & why frameworks matter 12:32 Architecture frameworks tour: ISO/NIST, MOF, TOGAF & more 17:31 Using LLMs to build your own data-architect learning plan 20:10 Symbolics & tools: ER diagrams, BPMN, UML & architecture views 25:59 House-building analogy: why architects start with pictures 29:23 Data architecture focus: storage, compute & data pipelines 33:40 Azure Architecture Center, Well-Architected & the Data Architecture Guide (DAG) 38:31 Thinking in pipelines: comes-out-of / goes-into / goes-out-of & security passes 42:24 How to grow into a data architect from DBA or other roles 🔗 Links • Data Architecture Guide: https://msft.it/63322t7nTw • Explore more Live! 360 sessions: https://msft.it/63323t7nTb • Check out upcoming VS Live! events: https://msft.it/63324t7nTj 👤 Speaker: Buck Woody Chief Data Officer, Straight Path Solutions #dataarchitecture #dataarchitect #sqlserver #azuremachinelearning

Think like a Data Architect! 🧠
Learn to turn fuzzy biz requests into clear requirements, use TOGAF/NIST frameworks, and design pipelines for storage, compute & security.
Watch Buck Woody’s #VSLive! 360 session: msft.it/63326t7nTe
#DataArchitecture

Kay Sauter

@kaysauter.bsky.social

1 month ago

Implementing End2End Data Engineering w. Medallion Architecture by Idira Bandari, Fri, Jan 16, 2026, 5:00 PM | Meetup In this hands-on session, we will decode the Medallion Architecture and show you exactly how leading data teams use it to create reliable data lakes and lakehouses. You'll

Indira Bandari is speaking at Data TGIF today! Join us for free online via MS Teams in about 30 mins!

www.meetup.com/data-tgif/ev...

#microsoftFabric #msFabric #dataEngineering #dataScience #dataArchitecture

DTN Corporate

@dtncorporate.bsky.social

2 months ago

DTN is hiring an Architect at Large

DTN is hiring an Architect at Large in Austin, TX. Collaborate with our Chief Architect + engineering teams to design scalable cloud-based data solutions, shape best practices, and guide technical decisions. Apply: dtn.link/yvkyji

#WorkHereWednesday #WeAreHiring #DataArchitecture #AWS

Hacker News Companion

@hncompanion.com

2 months ago

While powerful for analytics, SiriusDB's architecture is less suited for transactional queries. Its strength lies in accelerating large-scale data analysis, not rapid, small-write operations. Know your workload! #DataArchitecture 6/6

The AI Table

@theaitable.bsky.social

2 months ago

Fine-Tuning vs. RAG: How Data Architecture Determines Your LLM Strategy

Discover More Here: buff.ly/IfhjqV2

#dataarchitecture #rag #llms #ai #retreivalaugmentedgeneration

@aerospikedb.bsky.social

2 months ago

What Is Change Data Capture CDC for Real-Time Data | Aerospike Understand change data capture for low-latency pipelines. Compare timestamp, trigger, and log-based methods, explore use cases, and see how Aerospike enables reliable streaming.

Modern apps don’t need more batch jobs. They need to react in real time.

Learn how Change Data Capture (#CDC) streams data changes as they happen and why low-latency databases matter at scale.

👉 https://monkeylink.co/693c66

#ChangeDataCapture #RealTimeData #Aerospike #DataArchitecture

JimLiddle

@jimliddle.bsky.social

2 months ago

Unstructured Data in 2026 I’ve written a lot of articles on unstructured data since the rise of GenAI and I thought it would be interesting to look at what we can expect for unstructured data in the enterprise in 2026.

Unstructured Data in 2026

#AI #EnterpriseAI #UnstructuredData #RAG #DataArchitecture #DataManagement #DataDiscovery #KnowledgeManagement

whyaiman.substack.com/p/unstructur...

The AI Table

@theaitable.bsky.social

2 months ago

Data Mesh versus Data Fabric: Which Framework Leads in the AI Domain?

Discover More Here: buff.ly/wzZpLqH

#dataarchitecture #datamesh #datafabric #dataandai #responsibleai

Data-Sleek

@data-sleek.bsky.social

3 months ago

More here
data-sleek.com/blog/building-a-scalable...

Book a consult
https://data-sleek.com/speak-with-data-expert/

#InventoryManagement #DataArchitecture #DataSleek

Data-Sleek

@data-sleek.bsky.social

3 months ago

#InventoryManagement #DataArchitecture #DataStrategy #SupplyChain #DataSleek

Hexalytics

@hexalytics.bsky.social

3 months ago

Why Organizations Need Flexible, Multi-Layer Data Models Discover why flexible, multi-layer data models are essential for modern organizations. Strengthen data quality, eliminate fragmentation, align KPIs across teams, and build a scalable, AI-ready foundat...

Most orgs don’t struggle with data volume they struggle with data architecture. A flexible multi-layer model delivers clean, consistent, AI-ready data for real-time insights.

Read more: tinyurl.com/yby2k59t

#DataArchitecture #AIReady #DataModernization #Hexalytics

Rene Kaiser

@renekaiser.bsky.social

3 months ago

How will the European Digital Product Pass affect your business? circular-data.org

#dpp #data #dataarchitecture #enterprisearchitecture

Jarvin

@animaznman.bsky.social

3 months ago

This medium blog post shows the architecture we implemented as well as our thoughts and decisions for what we did: medium.com/@jarvinbiros...
Would love to hear thoughts and ideas from the community!
#DataArchitecture #DataEngineering #CloudCompute #SocialMedia

Altum Strategy Group

@altumstrategy.bsky.social

3 months ago

Data Fabric vs. Data Mesh: Choosing the Right Architecture for Scalability, Governance, and Agility - Altum As organizations increasingly rely on data to power operations, customer experiences, and strategic planning, choosing the right data architecture has never been more critical. Two modern models dominate the conversation: data fabric and data mesh. Each has unique implications for scalability, governance, and enterprise agility. Understanding the key differences, and how they align with business structure and goals, is essential for long-term success. What Is the Difference Between Data Fabric and Data Mesh? At their core, the difference comes down to centralization versus decentralization. Data Fabric is an integrated architecture designed to unify data management through a centralized platform. It leverages automation and metadata to help technology discover, manage, and connect data across sources. In this model, a centralized corporate data team typically governs and maintains the system.  This model also typically leverages a technology driven approach to hide complexity. Data Mesh, on the other hand, is decentralized by design. It is built around the concept of domain-oriented ownership, where individual business units manage their own data pipelines, systems, and outputs. In this model, data is treated as a product, with each team responsible for its lifecycle, accessibility, and quality. Scalability and Structure Scalability is a primary driver behind architecture […]

Top 15 Countdown of the year—Featured Insight #7:

altumstrategy.com/portfolio-it...

#DataArchitecture #DataFabric #DataMesh #EnterpriseAgility #Governance #Scalability #DigitalStrategy #Top15Articles #AltumWave

Chris Petersen

@cpetersen-cs.bsky.social

4 months ago

A1) 💯, not just #IT and #OT creating business data but the explosion of observability data and new forms w/ #AI chat logs, etc. Pushing the #DataArchitecture conversations harder but also tweaking #DataRetention policies end-to-end to keep less but higher value data. #ciochat

Tom Smith

@ctsmithiii.bsky.social

4 months ago

SAP partnered with its competitors to let customers choose their data platform. That's not weakness. # SAP's Data Strategy: Why the Snowflake Partnership Makes More Sense Than It Seems ## The Partnership Nobody Expected SAP announced a partnership with Snowflake at TechEd 2025. The announcement inclu...

coderlegion.com/7059/sap-par... #SAP #SAPTechED #DataArchitecture #Snowflake #SAPTechEd #CloudData #EnterpriseData

Pomerium

@pomerium.io

4 months ago

Pomerium's data broker storage evolution: Started with cookies, moved to Redis, then PostgreSQL. Now adding file-based storage with clustering and leader election for self-healing, eventually consistent systems. Sometimes the simple solution wins. #DistributedSystems #DataArchitecture #ZeroTrust

@salimelakoui.bsky.social

4 months ago

Évoluons ensemble vers des architectures unifiées ! 💡 #Innovation #DataArchitecture #TransformationDigitale

TDWI

@tdwi.bsky.social

4 months ago

AI ROI isn’t luck—it’s design. On Nov 12, join TDWI’s free, half-day Virtual Summit: Modern Data Strategies for AI ROI—built for data, analytics, and AI professionals who need a plan that pays off.

🔗 RSVP: bit.ly/4pVGYLu

#TDWIVirtualSummit #DataStrategy #AI #Analytics #BI #DataArchitecture #ROI

Jason Miles

@edudatasci.net

4 months ago

Data Vault, Practically: Why It Exists, How It’s Built, and What 2.1 Changes Modern data platforms live in tension: Source systems evolve faster than dimensional models can absorb. Audit and lineage are mandatory, but teams still need velocity. Cloud lakehouses, streaming, and domain ownership do not slot neatly into yesterday’s warehouse playbooks. Data Vault is a response to those pressures. It is both a modeling approach and a delivery method designed to (1) 

A surprisingly enduring alternate #DataWarehouse #DataArchitecture is #DataVault. Designed to resolve some of the problems of traditional models in the SQL focused past, many of the ideas of #DataVault have leaked out and become mainstream, and where Data Vault's strengths lie, its still a strong…

CData Software

@cdatasoftware.bsky.social

4 months ago

🚑 Legacy data systems were slowing Philadelphia Zorg down.

Now? Real-time insights. SaaS integration. AI-ready cloud architecture.

✨ Watch the full transformation in this 45-min Dutch webinar: https://bit.ly/487KI64

#CData #SemanticLayer #DataArchitecture #HealthcareIT #AI