smartdatahub
@smartdatahub
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Geospatial cloud platform that enables seamless access to geospatial data from diverse sources worldwide.
Finland
Joined November 2015
What happens when location data meets AI in modern analytics platforms? Positio Magazine features our perspective on how geospatial data can be made easier to use for data and analytics teams. 👉 Full article: https://t.co/5ahy4SEiQG
#GeoData #DataEngineering #SpatialAnalytics
positio-magazine.eu
We asked Smart Data Hub Co-Founder Karri Pulkkinen how they have solved their customers’ problems and how AI accelerates location data-driven business.
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🚀 Skip the manual data wrangling. Geo Data Connector for Snowflake finds, transforms, and loads your geospatial data automatically — and keeps it fresh on schedule. Focus on insights, not imports. 🌍✨ https://t.co/XVg5plMvC9
#Snowflake #Geospatial #DataAutomation
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Magic night at the #HelsinkiDataweek opening #DataAfterDark by @databricks ✨ Amazing views from Clarion Skyroom and great discussions with Finland’s #Data & #AI community on bridging analytical and online data.
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Our team is looking forward to attending the number one data & AI event in Helsinki next week — Helsinki Data Week! 🚀 Come say hi if you’re around! https://t.co/ejdVZBP8Ih 👋 #HelsinkiDataWeek #AI #DataEngineering #DataScience #Data
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The importance of spatial data is growing in the data economy: every pixel measured by satellites needs coordinates — a key takeaway from the Geoforum Summit 2025. #geoforumsummit #geospatial #dataeconomy
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With Geo Data Connector for Snowflake, we aim to break down the silos between geospatial data and modern cloud-native analytics environments — making geospatial data truly accessible to all data practitioners. #Snowflake #Geospatial #AIDataCloud
https://t.co/XVg5plN3rH
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Introducing Geo Data Connector for Snowflake — giving every Snowflake user instant access to global geospatial data and seamless integration with enterprise data on the Snowflake AI Data Cloud. https://t.co/XVg5plN3rH
#Snowflake #Geospatial #AIDataCloud #SnowflakeMarketplace
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Exciting news for museum enthusiasts and data lovers alike! New datasets featuring Finnish museums activities on https://t.co/PkN9Efn8ny  and a sample  analysis https://t.co/MSNIBvdgZr. Uncover fascinating insights about Finland's cultural heritage. #FinnishMuseums #DataAnalysis
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There is no AI strategy without a data strategy. You need a solid data foundation that you can trust. It eliminates data silos and leads to a lower TCO. Simplify! - Heavy words from heavyweight data professional Rami 'Pastori' Huuskonen of @SnowflakeDB at #DataForBreakfast
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The #NordicDataFestival 2024 by @SitraFund organized today in Helsinki gathered the pioneers of the data business together. In connection with the event, the national Data Spaces Alliance Finland was announced.
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By 2025, data-ecosystem memberships are the norm. Large, complex organizations use data-sharing platforms to facilitate collaboration on data-driven projects, both within and between organizations. The data-driven enterprise of 2025 https://t.co/pDXxBMq34h via @McKinsey
mckinsey.com
Rapidly accelerating technology advances, the recognized value of data, and increasing data literacy are changing what it means to be “data driven.”
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Streaming is growing rapidly for real-time decision-making, but it demands lower latency. We recently made improvements in #ProjectLightspeed to lower the inherent processing latency of Structured Streaming. Take a look👇 https://t.co/bxCBQ0ze4v
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With announcement of #MicrosoftFabric last week Microsoft reintroduced itself as a leading data and analytics platform vendor
microsoft.com
Get more value from your data with Microsoft Fabric—an AI-powered analytics platform that unites your data and services, including data science and data lakes.
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92 percent of data analytics professionals said their firms needed to increase use of external data sources. Data ecosystems https://t.co/tQ4F3OZADI via @Deloitte
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Why You Need a Data Quality Strategy for External Data | Data Culpa #AI #Data #DataAnaltyics #DataObservability #DataQuality #ExternalData #ITStrategy
https://t.co/iFqk57QLcc
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Data Sharing is making data available to other users – inside or outside your organization – to facilitate collaboration, improve business processes, expand business opportunities, or just make data available across siloed systems
blogs.oracle.com
This blog post give an insight on how to share and consume data with Autonomous Database, using modern technologies and protocols
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Incorporating external, or third-party, data is an important part of data analytics programs as companies look for strategic insight from outside their firms. https://t.co/HPORrsbVLg via @MITSloan
mitsloan.mit.edu
Third-party data is out there to find and use. To make external data work for your firm, vet it carefully and make it part of a centralized data strategy.
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Internal data is often the first place that companies look when they start to think about analytics and insights. But they shouldn’t overlook the wealth of value that can be gained from mining external and third-party datasets.
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Few organizations take full advantage of data generated outside their walls. A well-structured plan for using external data can provide a competitive edge. Harnessing the power of external data https://t.co/DNA4czcLTJ via @McKinsey
mckinsey.com
Few organizations take full advantage of data generated outside their walls. A well-structured plan for using external data can provide a competitive edge.
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