Thomas Scholz

Want to experience faster loading with Neo4j? Check out Eric Monk's blog on parallel loading. #dataloading #neo4j #cypher

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Snowflake Arctic, a new large language model that’s open, enterprise-grade, and efficient, is now available on Microsoft #Azure AI.   This state-of-the-art model uses a Mixture-of-Experts architecture that activates 50% or fewer tokens than comparably sized models. Arctic excels in a variety of tasks, including SQL code generation, sophisticated instruction following, and complex data analysis and is available for unrestricted personal, research, and commercial use.   We’re upholding our promise to deliver the best selection of high-quality models so our customers have choice and flexibility.     https://lnkd.in/g3mxCMfa #SnowflakeArctic#EraOfAI #GenAI

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Great new article by Li (Luke) Yu on how to use #ray to perform feature extraction for #llms on #databricks: https://lnkd.in/d5qv3Xmk Key insights include: 🔧 How to setup and configure a Ray cluster on Databricks with #GPUs 📘 How to overcome tight context windows with various summarization approaches

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Gemini in BigQuery changes the game for data engineers and analysts! More productivity ✔️ Improved query performance ✔️ Optimized costs throughout the analytics lifecycle—from ingestion and pipeline creation to deriving insights with AI ✔️ #GoogleCloudNext

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#DatabricksSQL warehouses provide up to 12x improved price performance over standard interactive clusters. You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇 https://dbricks.co/4agOeJo

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Now you can stream data into Snowflake using Amazon Data Firehose and Snowflake Snowpipe Streaming. Customers have been asking us for a direct integration with #Snowflake Snowpipe Streaming enabling them to stream clickstream, application, and #AWS service logs from multiple sources, including Kinesis Data Streams, to Snowflake. As with all #firehose integrations, this is super easy to setup and use. https://lnkd.in/eZ3T-wEa #Data #streaming #streamingdata #datastreaming

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Start talking to your data, in natural language, in your context. No need to be a data specialist. Democratizing Data+AI....

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Wishing you were joining the Snowflake Summit in person next week? Tune in for key sessions virtually, to hear about Snowflake's NVIDIA partnership updates, as well as key Snowflake product announcements! https://lnkd.in/eFJKpcFM #SnowflakeSummit #VirtualEvent #NVIDIA #PartnershipUpdate #ProductAnnouncements #Innovation #TechConference

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"...you will be able to access #AzureDatabricks #UnityCatalog tables directly in #Fabric... From the Fabric portal, you can create and configure a new Azure Databricks Unity Catalog item in Fabric with just a few clicks. You can add a full catalog, a schema, or even individual tables to link and the management of this Azure Databricks item in OneLake—a shortcut connected to Unity Catalog—is automatically taken care of for you.  This data acts like any other data in #OneLake — you can write #SQLqueries or use it with any other workloads in Fabric including #PowerBI through #DirectLake mode. When the data is modified or tables are added, removed, or renamed in Azure Databricks, the data in Fabric will remain always in sync. This new integration makes it simple to unify Azure Databricks data in Fabric and seamlessly use it across every Fabric workload. https://lnkd.in/gFrjNnfn

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Databricks + Slalom + Amperity will share the virtual stage on Wednesday (4/24) at 10a PST. Learn how to turn raw, disconnected customer data into business value.

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BigQuery now has support for Delta Lake tables through Big Lake. #bigquery #googlecloud #databricks

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Some things are just better together!  With Snowflake Native Amplitude, you get all the benefits of Amplitude without your data ever leaving Snowflake. That means one single source of truth for all your enterprise, financial, and behavioral data to inform better product decisions. Check it out below! ❄️

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Implys real-time analytics database platform, built on Apache Druid, seamlessly complements Apache Iceberg. This integration enables data stored in Iceberg table format to be ingested into Druid for real-time analytics. Leveraging Druid's robust querying capabilities alongside Iceberg's efficient data management and storage features. Read more about the integration here: https://lnkd.in/exEanSG5

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Microsoft Fabric OneLake will support Apache Iceberg and bi-directional data access between Snowflake and Fabric. This expands Fabric capabilities already current with bidirectional data access to Delta Lake and Databricks.

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Snowflake, Databricks, Tabular, Iceberg, what does it all mean? We break it down for you in this blog post:

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This is the essence of what we call Data Intelligence, i.e. AI that understands *your* data. Check out this post from CEO Ali, and an independent member of the Databricks product advisory board! Databricks AI assistant now GA >>

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DatabricksIQ-powered Liquid Clustering intelligently self-tunes and determines the right data layout for you, ensuring your data is always optimized for both read and write performance. It eliminates the headaches of Hive-style partitioning, scales automatically, and reduces table maintenance overhead. #DeltaLake #LiquidClustering

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Check out this insightful article on how open file formats shook up the Snowflake Databricks rivalry and created a new battleground: The rise of AI models and huge training data sets, security and governance tools could become a much bigger selling point https://lnkd.in/ewHyf2vJ

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