Abstrakt
Na tym warsztacie poznasz role automatyzacji w świecie analizy danych, korzyści wynikające ze stosowania narzędzi low-code, oraz praktyczny przykład wykorzystania narzędzia do analizy danych (Power BI), a także przykład automatyzacji obsługi danych za pomocą Power Automate. Dowiesz się także czym jest Auzre Data Factory, Microsoft Fabric a także Azure Synapse Analytics. Low-Code to przyszłość i silnie rozwinięta gałąź IT. Ta sesja pozwoli Ci być na czasie ze zmianami w IT.
Opinia
Notes
Dynamic Prompting
Using vector or full text index to map values or entities from the user question to database property values Using vector similarity search to find most relevant few-shot cypher examples allows you to scale to more examples
Multi-hop question answering
Take for example the following question: Did any of the former OpenAl employees start their own company?
Could be broken into two sub questions:
- Who are the former employees of OpenAl?
- Did any of them start their own company? Typical recommendation is to use vector similarity search in combination with agents
Real-time analytics with knowledge graph Take for example the ŕollowing question: How many new customers we had last week? Which services depend indirectly on the authorization service? Vector similarity search doesn’t natively handle aggregations, transformation, graph analytics, etc… However, a graph database like Ne04j offers a vast possibility of traditional and graph analytics through the use of the graph-based structured query language Cypher and Graph Data Science plugin