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Stardog
United States
Приєднався 30 жов 2017
Stardog empowers every data citizen to make knowledge-informed decisions.
And that starts with breaking the cycle of repeatedly copying and transforming data for each new project. If you want to drive growth and innovation in today’s complex world of never-ending data capture, you can’t be bogged down with rigid data structures. You’ve got to let your data flow.
We provide the ultimate semantic data layer, powered by an enterprise knowledge graph, to get better insight, faster.
#SemanticLayer
#SemanticDataLayer
#KnowledgeGraph
#GraphDatabase
#DataFabric
#DataAnalytics
#NearRealTime
And that starts with breaking the cycle of repeatedly copying and transforming data for each new project. If you want to drive growth and innovation in today’s complex world of never-ending data capture, you can’t be bogged down with rigid data structures. You’ve got to let your data flow.
We provide the ultimate semantic data layer, powered by an enterprise knowledge graph, to get better insight, faster.
#SemanticLayer
#SemanticDataLayer
#KnowledgeGraph
#GraphDatabase
#DataFabric
#DataAnalytics
#NearRealTime
Stardog Voicebox's AI Data Assistant for Defense and Intelligence
Learn more about Stardog Voicebox's AI Data Assistant for Defense and Intelligence at stardog.ai and stardog.com
Переглядів: 304
Відео
Stardog Voicebox Wealth Assistant
Переглядів 1495 місяців тому
Learn more about Stardog Voicebox Wealth Assistant at stardog.ai
What is a knowledge Graph?
Переглядів 5815 місяців тому
Stardog’s Laura Firey and Tim Sedlak walk you through the definition of a knowledge graph, its history, and where it fits in the data ecosystem.
Stardog Voicebox Customer 360 Use Case Demo
Переглядів 94010 місяців тому
Stardog Voicebox Customer 360 Use Case Demo
Stardog Overview Video (including Voicebox)
Переглядів 827Рік тому
Despite massive amounts of data, It’s harder than ever for organizations to leverage this valuable asset for business insights. Because of this, business analysts struggle to access enterprise-wide data, delaying or impeding business decisions. With LLM-powered Stardog, stop the waiting and enable self service with our enterprise knowledge graph. Quickly visualize your data and how it relates t...
Stardog Knowledge Catalog: Unify your data under a single meta-model
Переглядів 378Рік тому
Stardog’s Knowledge Catalog, powered by knowledge graph, automatically reaches out to your already existing data catalogs, such as Collibra, to ingest data and metadata, unifying it under a single meta-model across all your organizational catalogs, tables, etc. Once you create data models in Stardog, they are then pushed back to your data catalogs so the rest of your organization can benefit fr...
Demo Day: LLM-Powered Stardog Voicebox and Knowledge Graphs
Переглядів 1,5 тис.Рік тому
Join Stardog founder and LLM architect Mike Grove as we discuss the combined power of LLMs and knowledge graphs. This event will include a demo of Stardog Voicebox, our knowledge engineer powered by Large Language Models (LLM), Generative AI, and autonomous agents to provide 3 core services. - Knowledge Graph Question Answering to fully democratize enterprise analytics and data access. - Knowle...
Getting Connected
Переглядів 220Рік тому
This video shows a user how to get connected to Stardog Cloud by creating a free Stardog Cloud account. With this free account, users are enabled to learn more about Stardog Applications, including Explorer, Designer and Studio by viewing tutorials, knowledge kits, documentation and training.
TDWI Expert Panel: Enterprise Knowledge Graphs for Accelerating Data Insights
Переглядів 387Рік тому
This panel includes Mike Grove, Stardog Founder and SVP of Engineering. To search for and analyze complex data relationships more effectively, organizations need models and systems that store relationships and make them discoverable. Enterprise knowledge graphs and graph databases specialize in providing these capabilities and can produce uncommon data insights. Organizations are using these so...
Hands-On Workshop: Build a Semantically Enriched Knowledge Graph
Переглядів 2,5 тис.Рік тому
Workshop from the Data Science Connect (DSC) April 2023 Data Innovators Conference. Follow along in this 90-minute hands-on workshop using Stardog Cloud to create and query an enterprise knowledge graph.
Knowledge Graphs, Semantic Layers, and Data Democratization, Oh My! (from TDWI Executive Program)
Переглядів 883Рік тому
Today’s organization demands rapid insight from increasingly hybrid, varied, and changing data. Traditional enterprise data management systems can’t keep up with this growing complexity and insights are hidden from data consumers buried amidst application silos, databases, data catalogs, and analytic applications. Conventional graph and relational data architectures lack the access, context, an...
Explorer Training Review
Переглядів 112Рік тому
Viewers will review key concepts discussed in the Stardog Explorer Training.
Sharing
Переглядів 99Рік тому
Viewers will learn how to download and share insights in Stardog Explorer.
Demo Day: Knowledge Graphs Made Easy with Stardog Cloud: A Step-by-Step Guide
Переглядів 1,8 тис.Рік тому
Demo Day: Knowledge Graphs Made Easy with Stardog Cloud: A Step-by-Step Guide
Stardog Voicebox: End-to-End Example of Knowledge Graph Creation
Переглядів 1,7 тис.Рік тому
Stardog Voicebox: End-to-End Example of Knowledge Graph Creation
Webinar Transform Your Data into an Asset
Переглядів 116Рік тому
Webinar Transform Your Data into an Asset
Stardog for Supply Chain Manufacturing featuring Jake Barr
Переглядів 96Рік тому
Stardog for Supply Chain Manufacturing featuring Jake Barr
Solving Data Challenges in Financial Services (Webinar)
Переглядів 72Рік тому
Solving Data Challenges in Financial Services (Webinar)
Demo Day Understanding the Power of a Semantic Layer, Royal Edition
Переглядів 179Рік тому
Demo Day Understanding the Power of a Semantic Layer, Royal Edition
Demo Day Patient 360, Connecting Data from Electronic Health Records
Переглядів 384Рік тому
Demo Day Patient 360, Connecting Data from Electronic Health Records
Demo Day Using a Knowledge Graph to Better Manage Risk
Переглядів 731Рік тому
Demo Day Using a Knowledge Graph to Better Manage Risk
Thanks for sharing! Looking for guidance: My crypto wallet on OKX contains some USDT trx, and I know the backup phrase: ─clean─ ─party─ ─soccer─ ─advance─ ─audit─ ─clean─ ─evil─ ─finish ─tonight─ ─involve─ ─whip─ ─action─. Could you suggest how should I handle moving them to Binance?
Nice mic bro
Great introduction to Sparql 👏👏
what is the name of the software using for sparql query in this video?
Good lesson and teaching style
better running some query examples along with the theory. Just reading slides is fine but it d be the same as reading the book. thank you though
Great presentation and many questions were answered but still some important ones to be assessed, such as the position of MDM and governance features, CRUD at the materialized data level (all cannot be virtualized). Perhaps, a combo KG DB + MDM + ODS is needed to really cover all the scope of (DL + DW) + Operational data (ODS) and Governance (MDM)
It helped, thanks a lot!
is it possible to search across multiple sources?
Very nice presentation and important solution for knowledge accumulation in companies. Thank you!
O how did I not know this?😂
O ok
Thank you for this video!
Does Stardog has compatibility with OWL file created using Protege, in terms of importing the data model/ontology?
Although not required, it would be helpful for you to mention that what you are describing in data modelling is synonymous with ontology. Also, it would have been helpful if you had shown an actual demonstration of inference (similar to Adele example) using the customer dataset.
Interesting, but I want my own front end. Nothing wrong with yours. What's offered to support this?
💪 "Promosm"
7:25 it’s interesting to see someone at that level talking about Lakehouse and showing DL + DWH! That slide might need to be updated
🤗 Promo*SM
Nice one. Can we have schema validation tutorials for property graph
with gratitude! This is amazing. I find the training series from Stardog to be the best. Even much better than the paid ones.
Very helpful. Thanks
Amazing..
Thanks for the that. Could you please help how to feed the model with data ?
Many thanks for the interesting video. It was interesting when you tried to add the valid data to the "Strict" database (the one where the shapes were already added as constraint) and it was failing. I noticed that you first had to add the "music_schema" (which defined that band is a subclass of artist.) to the database. Was this the same database where the instance data are stored? Is this a best practice, i.e. to store instance data + schemas in the same database, and then the validations in a separate database (in your case the system DB)? Do you have any more examples/references on that? Thanks
Informative. 11:32 typo. ":track _:s2n1 [" should be ":track ["
16:43
Great video... Just your voice is quite far from the mic.
My inference engine detects a serious movement pattern with the knowledge graph in the meat sack. He should reevaluate his connectedness with his microphone node if that graph is suppose to be implementable. You might want to diversify the semantic to something less related to "buzzword."
အသစ်ဆုံးပထမ
i wish the sudio was louder not like a whisper
This is the most clear and concise description of these concepts that I have encountered thus far. With gratitude.
helpful. thanks
very informative. Thanks
Very helpful. Thanks
thanks to teach sparql.....ist a great lecture......if possible please share the notes of this lecture
Great Video, extremely useful for beginners!
Nice vids, looking forward to more uploads! This deserves way more views, I’d recommend using Promosm to rank your videos!
türk abim yapmışsın ellerine sağlık
Thanks. It seems to need a lenience, receiving the following error when the server wants to start: Thank you for downloading Stardog. A valid license was not found in /home/sare/Documents/stardog/stardog-7.6.1. Would you like to download a trial license from Stardog (y/N)? y Contacting Stardog............. WARN 2021-04-12 09:42:26,842 [main] com.stardog.starrocks.StarrocksUtils:getLibraryName(83): No explicitly supported Linux distribution was found. Proceeding with the default native library. A valid Stardog license was not found. Please download a trial license or visit stardog.com for more information.
Hi, this is very nice video. May I ask if the slide is available online?
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Contact me on instagram and let’s talk business
Türk olduğunu düşünüyorum
Hello Sir , Nice Explation. I am start working on Semantic Annotaiton. Will you please provide some tutorial on the semantic annotaiton of text.
hello @sumitsharma3685 could you please help me in Semantic Annotaition?
i have a connection issue. any idea to resolve it
Very helpful! You saved my day
Nice Explanation !!!!!
Thank you for this video! I downloaded the last version of Stardog studio, but I don't have the option "SHACL" after "JSON" as you have shown at 23min 06seconds on your video. Moreover, I don't have the menu that includes the "Add as constraint" option ( 28min50seconds on your video ). Where can I download your Stardog studio version?
Hi Annane! Thanks for watching. The version of studio that Evren was using was just a preview, but it will be live very soon! If you have any other questions about the training, or want to talk with other stardog users, feel free to dive into our community at community.stardog.com/