Todd McGrail

A great read in iTnews today highlighting how Seven West Media leveraged Databricks to forecast audience view patterns on both a seven-day and 28-day horizon. The company is now scaling its use of Databricks to support additional analytics use cases. Andrew Brain, Audience Intelligence and Growth Director, emphasized the significance of this advancement, stating, "We can now understand what our audience is going to be from a value perspective on volume and also what they’re going to be watching." This insight is pivotal for their business. #databricks #ai Read more about Seven West Media's predictive analytics success here: https://lnkd.in/e4rb3_mp

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Interested in a preview of Airflow 3.0 (Airflow 2.0 was 4 years ago). Take a look at Julian LaNeve talking about the latest release and a preview of what is coming. https://lnkd.in/eFPvwbHZ

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We are excited to announce the General Availability of Row and Column Level Security in Unity Catalog on AWS, Azure and GCP! This is your gateway to a new world of unified data security, where you can confidently share data with multiple users and groups, all while maintaining control and ensuring that sensitive information remains protected. Read the full blog post to learn more about how you can enable fine-grained access controls using Row Filters and Column Masks.

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🤔 Unlock revenue tied to data streaming or keep your focus on the rest of your roadmap? Good news: that’s a choice you no longer need to make—the Confluent OEM Program is here to empower you to do both! MSPs, CSPs, and ISVs, don’t miss out—learn more about the program on our blog!

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A new era of enterprise AI has arrived with the introduction of the #SnowflakeArctic ❄️- a truly open, breakthrough large language model. Snowflake Arctic offers top-tier intelligence with unparalleled efficiency at scale and joins the Snowflake model family, which also includes the best practical text-embedding models for retrieval use cases. Discover more about how Snowflake is accelerating AI innovation for all users by clicking the link below. #AI #innovation #technology #artificialintelligence https://lnkd.in/gzKjUHS2

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The Power of Partnerships: The driving force behind Kubrick's Next-Gen capabilities in association with Snowflake. A brand new report from Technology Magazine explores the pivotal role of Technology Partnerships with regards to strong data governance for AI-enablement and how Snowflake are providing platforms businesses need to unlock value from data to solve business challenges. Read the report in full. https://okt.to/c7RIvd #TechnologyPartnership #ChannelAlliance #DigitalReport

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Available today at the Snowflake World Tour. Join me and the team on the 1st Floo. Happy to have a chat to help you unlock value with your data. #Snowflake #Clekt #DataValue #Data #EnterpriseAI

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Polaris Catalog, built on the open-source Apache Iceberg, offers centralized access and consistent security, supporting various query engines. Expected to be open-sourced within 90 days, it promises interoperability, scalability, and flexibility, allowing organizations to choose their hosting infrastructure freely. https://lnkd.in/gUbkgZwU #Snowflake #DataCatalog #OpenSource #PolarisCatalog #DataManagement #Interoperability #Innovation #SnowflakeSummit

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The latest Apache Cassandra user survey offers some great insights for where we are today and where we’re headed. 🧭 Read what’s in store with cloud adoption and AI use cases in The New Stack. ☁️🤖 https://ow.ly/H0wO30sHPhL #ApacheCassandra

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Are you at the Snowflake #datacloudsummit2024 in SF tomorrow (June 5)? I am! Let's catch up and chat about how MinIO & Snowflake can make your life cooler.

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I spoke with Adrian Bridgwater from Forbes about data products, big data and the obvious need businesses have to extract the full value of their data. And with data streaming businesses can organise data products so that both historical and real-time data can be available for analysis and informed decision-making, and the IT function can move its information stance forward by an order of magnitude. https://lnkd.in/epibC_Mi

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This is great to see as we pivot to around "Data as a Product" aligned to business domain owners. Congratulations to the team! What does data quality really mean and what are the implications both positive and negative, is data confidence based on the question asked , good enough? Data quality refers to the condition of a set of values of qualitative or quantitative variables. There are many aspects to data quality including accuracy, completeness, reliability, and relevance, which must be addressed to ensure that data can effectively serve its purpose such as improve decision making, increase efficiency or better customer relations. Were poor data quality has consequences, inaccurate analysis, wasted resource, loss of credibility and compliance risk. Data confidence is indeed influenced by Data Quality. It’s about how much trust you can place in your data and its analysis. Confidence is higher when data is collected and processed rigorously and is suitable for the questions being addressed. It’s not just about having data; it’s about having the right data for the right questions. Good data quality doesn’t necessarily mean that the data is fit for all purposes; it must be relevant to the specific questions you are trying to answer. Therefore, it’s crucial to define what good enough means in the context of the specific use case. The above is key as we start to evolve our Analytics platforms into Data Platform, where our systems of record are updated in due course as we seek to leverage the potential of AI and ML, in a responsible way and unlock the true benefits and value in our data. How can we improve data quality and data confidence? Define clear and measurable data quality and data confidence criteria and metrics for each data source and use case. Implement data quality and data confidence checks and validations at each stage of the data lifecycle, from collection to analysis. Use data quality and data confidence tools and techniques, such as data profiling, data cleansing, data enrichment, data lineage, data governance, and data audit. Monitor and report data quality and data confidence levels and trends, and identify and resolve data quality and data confidence issues and gaps. Establish a data quality and data confidence culture and mindset, where data quality and data confidence are valued and prioritized by all data stakeholders Join together with us on this journey; María CondeJustin J.Tina DiamondMichael Robson☁️Henrique Moniz de AragãoSteve ChawnerDavid HunterLeo SeusRobin ChanMatt E.Kevin WareNigel LevissGary AshbyJon WeeksChris JordanHoward Le RoyKit Wilson #Datagoverance #datacatalogue # aiforgood # dataquality #purview # dataplatform # fabric

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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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Introducing the Secrets of Apache Spark to Snowflake Migration Success! This book highlights 9 real-world customer stories that illustrate the value of migrating from Databricks to Snowflake — from Travelpass saving 65% in costs to the New York Stock Exchange cutting costs in half for its regulatory reporting workload to Swire Coca-Cola, USA accelerating time to market for its products. This book also includes 5 compelling reasons why companies are moving from Databricks to Snowflake — ease of use/time savings, cost savings, performance, governance and data sharing — and supports each reason with concrete customer examples, quotes and/or metrics.

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Saying goodbye to Atlas Sync? In this post, we’ll offer a technical overview of what a typical migration from MongoDB Atlas Device Sync to Couchbase looks like

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Speedata.io accelerates Apache Spark leading to 50x better performance/$ than CPUs and GPUs. https://lnkd.in/gxkjiHNm

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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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