Robert DeMartino

We’re thrilled to partner with AI at Meta to release the Llama 3.1 series of models on Databricks – available to our customers today. These models expand context length to 128K, add multilingual capabilities, and include Llama 3.1 405B — the largest and highest-quality openly available foundation model. With this release, customers can serve and fine-tune the Llama 3.1 models, connect them to our RAG and agentic systems, easily generate synthetic data to better customize their models, and leverage them for scalable evaluation. We have integrated Llama 3.1 throughout our Data Intelligence Platform. https://dbricks.co/4dcJpC3

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⚖️ Tech Comparison: Redshift vs Druid https://lnkd.in/e3ZCD3xb Like {hashtag|\#|Snowflake}, {hashtag|\#|Redshift} was built for traditional BI and infrequent reports. Not having multi-level indexing and time-based partitioning means inefficient compute with more data processed than necessary. When the analytics use case requires high performance on large data sets or concurrency requirements and streaming data, then Apache Druid is ideal.

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Snowflake’s Timothy Long explains how #Snowflake fits among the #cloudcomputing providers and how its #SaaS model enables #manufacturers to access massive #computepower on demand. 🔸 David Greenfield Automation World #AutomationWorld https://lnkd.in/eAanfhE4

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Looking to build a multi-query RAG pipeline? See how it can be done in 20 minutes using #Langflow. ⬇️ #RAGApplications #AIApplications #Langflow https://ow.ly/7es750TluoP

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Amazing partnership built between Microsoft Fabric and Snowflake to improve interoperability through Apache Iceberg. With this integration, the data analytics ecosystem is growing and more flexible for companies: - Snowflake will be able to store data in Iceberg format in OneLake - Fabric will be able to store data in Iceberg format in OneLake via Apache XTable translation in OneLake. - Data written by either platform, Snowflake or Fabric, will be accessible from both the platforms. - Snowflake will be able to read Fabric data artifacts in OneLake, stored physically or virtually through shortcuts. - Data from Snowflake and Fabric can be used by a variety of services, such as Microsoft 365, Copilot in Microsoft 365, Snowflake Cortex AI, Azure AI Studio, Snowflake Copilot and more. Read more 👇 https://lnkd.in/d9-n3T9S

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EQengineered's Chief Data Officer, Ranjan Bhattacharya, describes how enterprise organizations can assess their data analytics maturity, become a data-driven organization, and extract value from their data. Learn more about EQengineered's Data Readiness Catalyst Offering (3m44s). #CIOs #CDOs #CDAOs #CTOs #CMOs #CFOs #CEOs #datareadiness #dataengineering #dataanalytics #digitaltransformation #EQengineered

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Lots of interest around the launch of our native apps in #Snowflake #Marketplace at the #datacloudsummit Stop by to see us at booth #2200 and learn about the benefits of #H2O and #Snowflake together including: ➡ H2O.ai products execute within the secure Snowflake environment ➡ Quick and easy to install to get started ➡ Customers can use existing Snowflake credits ➡ Customer can pick CPU or GPU instance types and save on runtime costs #bettertogether #h2oai #generativeAI #AI

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Officially referred to as 'The Data Intelligence Platform', Databricks functionality is constantly evolving. Check out this thought piece on 3 elements that will shape the future of #Databricks. 🚀 https://hubs.ly/Q02t3GwS0 #datainfrastructure #dataengineering #dataintelligence

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