Kai Waehner

Great presentation on how Andrius Mazeiva at #adform gets great #performance by using #aerospike https://lnkd.in/exVqH6Tj you can learn more on this webinar as well https://lnkd.in/e89x_au2

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🛠️ Build powerful applications with the integration of #AzureCosmosDB NoSQL and #OpenAI! Sandeep Nair demonstrates how to leverage vector embeddings for seamless multi-modal data operations. Watch now: https://lnkd.in/ezx6s8yu

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Materialized Views and Streaming Tables are now Generally Available in Databricks SQL! 🥳 In our internal benchmarks, Materialized Views delivered ~7x better data freshness at 1/50th of the cost of a similar CREATE TABLE AS statement. 👀 Read more here!

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Learn how you can utilize Astra DB vector search to add a 'related posts' feature to an Astro blog in this newly published DataStax piece by Phil Nash: https://ow.ly/OoW650Sno3t #AstraDB #DataStax

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Just in time for our Global Modeling Webinar tomorrow, 9 a.m. PST! Learn how collaboration will fast track your modeling practices🌎 Link in comments! Featuring: T.y. Li 🌟 #sqldbm #datamodeling #cloud #snowflake

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

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Snowflake released the #SnowflakeArctic embed family of models and made them open source under an Apache 2.0 license. The Massive Text Embedding Benchmark (MTEB) Retrieval Leaderboard shows that the Arctic embed model with only 334 million parameters is the only one to perform better than the average retrieval performance of 55.9. The five models, ranging from x-small (xs) to large (l), can be used right away on Hugging Face. Companies use private datasets along with #LLMs as part of a Retrieval Augmented Generation (#RAG) or #semanticsearch service. The impressive embedding models put into practice the technical know-how, search capabilities, and research and development that Snowflake got from Neeva in May. Snowflake Copilot is integrated into Snowflake Cortex, their #AI service, and can be utilized for a variety of tasks such as question answering, and summarization. With these announcements, Snowflake is breaking ground on open LLMs and showing it is continuously innovating for their customers on the AI journey.  

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🤔 What are the differences between Data Fabric & Data Mesh? How does Confluent enable these architectures? 🎙️ We answer these questions and more in Episode #4 of our Confluent Capabilities 'Bite Size' podcast series with Italo Nesi and John Dee! Discover how Confluent enhances both of these models through its cloud platform, showcasing it as a versatile solution and demonstrating its crucial role in modern data strategies. 🖥️ Watch the latest episode here: https://lnkd.in/emG9jRJ2 Paul Archer Joanna Grimmond Chris Gallagher Bob Feeney #HybridCloud #MultiCloud #Confluent #DataFabric #DataMesh

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Google Cloud #Research innovates again with ... #BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse. 🥇⚡🔥 Check out our Research Paper here, to be presented at next month's #SIGMOD2024 event: https://lnkd.in/e7DhX4ZH Innovations include: → #BigLake tables, making open-source table formats (e.g., Apache Parquet, Iceberg and Delta) first class citizens → Fine-grained #governance enforcement and performance acceleration for BigQuery and other open-source analytics engines → Design and implementation of BigLake #Object tables to integrate AI/ML for inferencing and processing over unstructured data → #Omni, a platform for deploying BigQuery on non-GCP clouds, enabling an enterprise lakehouse across cloud providers cc: Gerrit Kazmaier, Tomas Talius, Sanjay Krishnamurthi, Garrett Casto, Pavan Edara, Thibaud Hottelier, Anoop Johnson, Jeff Johnson, Dawid Kurzyniec, Sam McVeety, Prem Ramanathan, Gaurav Saxena, Vidya S., Yuri Volobuev

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In-memory data processing, similar to #Hadoop and #Spark in the past, provides discontinuity in terms of cost, performance, and flexibility. Our friends at MotherDuck compiled a list of key workflows that leverage DuckDB to revolutionize analytics. We are committed to bringing this innovation to the Data Product landscape through the GoodData Unified Analytics (BI/AI/ML) platform: 🌐 Zero-Copy 🚀 Lightweight Compute ⚡ Pipeline Processing 🖥️ Interactive Data Apps 🔒 Enterprise Security

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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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Check out this fantastic Podcast from Colonial First State discussing their new Enterprise Data Platform powered by Databricks. Group executive Jeroen Buwalda shares insights on how this platform integrates decades of data from various systems, enhancing business reporting and enabling advanced analytics. According to Buwalda, "Having a more sophisticated, modern data capability will enable us to create much better experiences for our clients." Find out more at the link below. https://lnkd.in/gpYtgrw4 #databricks

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Snowflake launched two new features today to help customers use their platform safely. 1) allowing Admins to Enforce Mandatory MFA and 2) the GA launch of Snowflake Trust Center to give a place for admins to monitor the adherence to MFA policies. Mandatory MFA is critical for any SaaS app to be used safely. Password harvesting/reuse/stuffing provides a direct vector to the data that you store in a SaaS app. Glad to see it's coming to Snowflake Their trust center gives admins the flexibility to start their MFA enrollment process with a warning step, or jump right to enforcing MFA for all users. Thank you for releasing this feature for free with all versions. Safety isn't a place for an upsell. If you are a Snowflake admin enable a MFA policy to warn all your users without MFA enabled, and work with your internal stakeholders to set the day when it's mandatory This is great news to see https://lnkd.in/e2DpEV8W

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With the introduction of BigQuery’s physical storage billing model, users asked for greater understanding to what influenced the compression ratios. In this blog post, we run some experiments to illustrate just that. DO YOU WANT TO KNOW MORE #googlecloud #bigquery

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🔐 Boost Your Snowflake Security with Key Pair Authentication In our new blog, we highlight how key pair authentication is transforming data security for Snowflake users. This method offers a robust, efficient way to manage access and protect sensitive information. Learn how you can implement this feature to enhance your security framework.

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A great post by Jeff Chou from Sync Computing showing cost optimization of Databricks using fixed instances vs. autoscaling. Specifically "a fixed cluster could outperform an autoscaled cluster in both runtime and costs for the 3 workloads that we looked at by 37%, 28%, and 65%." DM me for a demo of how Speedata.io delivers 50x better performance for Apache Spark vs. CPUs and GPUs. https://lnkd.in/gYWP9gsh

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If you are a customer of Snowflake and Salesforce this integration is game changing. Deeper integration = more ROI as illustrated via 3 industry use case examples below. Data is only valuable to the Business if it’s Accessible, Actionable & can be used in the front office: 💪 Retailers can use Commerce and Service Cloud data w/ POS and supply chain in Snowflake 💪 CPGs can organize Marketing and Sales Cloud in Data Cloud w/ financial and transaction data in Snowflake; and share data via clean room 💪 Media orgs can use 1P data in Data Cloud to power media campaigns via Snowflake clean rooms or Data Cloud ad activations

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Nate Nichols has been researching, building and deploying AI systems for 15 years. He does a great job breaking down the basics to help you with an AI roadmap to get started in your organization. Watch Nate and reach out if you want to learn more!

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