Sergio Cuellar’s Post

Streaming ML inference is about more than just the call to the model's predict function, which is sometimes the only focus of the discussion. Data enrichment is often key and in my opinion an area which does not get the attention it deserves! Using Dataflow + BigTable, you can enrich data at scale with just a few lines of code. with beam.Pipeline() as p:  output = (p       ...       | "Create" >> beam.Create(data)       | "Enrich with Bigtable" >> Enrichment(bigtable_handler)       ...       ) See how we can make use of data from BigQuery for this flow with reverse ETL to BigTable.. https://lnkd.in/gheKsfwk Haakon Ringberg Ahmet Altay Shanmugam Kulandaivel Christopher C.

How can you integrate structured data into your LangChain solution? What use cases will that unlock? Find out more in a hands-on introduction to the #BigQuery data loader.

After being amazed by Google Gemini for big query, AWS Sagemaker JumpStart, Microsoft Fabrics, and Databricks AI assistant, today, I found Snowflake Copilot - another AI assistant that supports SQL generation and intelligent data exploration based on the analysis context: https://lnkd.in/g8xBTXUG. We can foresee how LLM will be closely bound with the data analysis process in the near future.

RelationalAI Debuts Powerful Knowledge Graph Coprocessor for Snowflake Users https://ow.ly/eRaG50Sc3lm

Simplifying data modeling and schema generation in BigQuery using multi-modal LLMs #data #bigquery

🚀 Discover the latest updates in #AzureDatabricks, including enhanced data governance with #UnityCatalog, data warehousing with #DBSQL and seamless #PowerBI integration, zero-management computation with serverless, and end-to-end AI solutions with #MosaicAI.

👀Still suffering from data silos😭 ♻️Synchronizing or sharing data through Snowflake or Iceberg tables can unlock new AI and BI capabilities that depend on interlinked data. ⛓️ These capabilities benefit from immediate access to essential data, as well as enhanced governance, virtually unlimited scalability, a variety of programming language options, and an extensive ecosystem of partner solutions compatible with Snowflake. https://okt.to/UZtJjy

Ready to store those #unstructured docs from your #AI data pipeline into #Snowflake Stages? Our new PutSnowflakeInternalStageFile processor is live and super easy to wire into a new, or existing, dataflow in the #Datavolo low-code visual tool -- powered by Apache #NiFi. Hands-on tutorial at https://lnkd.in/e2R9KtJN 

Synthesized creates accurate synthetic data to power innovation with BigQuery #data #innovation #bigquery

Ready to leverage AI to take your database to the next level? Join our free virtual workshop to dive into the EDB Postgres AI platform. 90% of all the data in the world was created just in the last two years. AI will be essential in harnessing the power of this accelerated digital transformation, and Postgres is the ideal platform for building the future of enterprise data management in the AI generation. Stay ahead of the curve. Don't miss our upcoming workshop. 📅 Aug 29 ⏰ 10am EST 📖 Dale Buckingham will lead this live session to give you an in-depth look at EDB Postgres AI, the first intelligent data platform for transactional, analytical, and new AI workloads powered by an enhanced Postgres engine. Register now to secure your spot ➡️ https://bit.ly/3TOO19v Here's a preview of what you'll learn about our groundbreaking EDB Postgres AI platform: ✅ It can be deployed as a cloud-managed service, self-managed software, or as a physical appliance. ✅ You get built-in observability with a single pane of glass for managing hybrid data estates. ✅ AI-driven assistance and migration tooling help you get the most out of your data. ✅ Up to 99.999% availability, up to 5X throughput performance, and 30X average faster analytical queries compared to standard Postgres. Learn more about EDB Postgres AI here: https://bit.ly/3KeZJFR #EDBPostgresAI #JustSolveItWithPostgres #AIPlatform #DataPlatform #HighAvailability #CloudDatabase #CloudInfrastructure #DataEstate #PostgreSQL