Hinal Kalyan

Databricks Lakehouse Monitoring is now GA! A unified approach to data and AI monitoring allows you to easily profile, diagnose, and enforce quality directly in the Databricks Data Intelligence Platform. Built on Unity Catalog, Lakehouse Monitoring requires no extra tools.

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I'm speaking at the Tableau Conference sharing how having a product mindset changes how you use Tableau, but more importantly how it increases the value you deliver to your business. My sessions are: 🤯 Data Unleashed: Fully Integrated, AI-Powered Analytics Being data-driven shouldn't depend on finding the right dashboard or dataset by chance. It's time to build analytics into daily workflows, making it the backbone of decision-making and productivity. 📈 Maturing Analytics: From Dashboard to Data Products Session Abstract: Move beyond dashboards to impactful data products by leveraging Tableau Pulse, Tableau Actions, Embedded Analytics, and more. We?ll cover real-life examples and strategies to drive data to action.

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Analysts — setting up metric definitions in #TableauPulse just got easier with new time handling enhancements. Now you can specify an offset or anchor date to line up metrics with when your data source refreshes, eliminating any gaps in your insights. Get the latest features in Tableau Pulse to set up your business users for success: tabsoft.co/45cXsok

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🚀 Exciting News from Snowflake! 🚀 The 𝐏𝐨𝐥𝐚𝐫𝐢𝐬 𝐂𝐚𝐭𝐚𝐥𝐨𝐠 ❄ is now open source, marking a new era of flexibility, interoperability, and control for organizations using 𝐀𝐩𝐚𝐜𝐡𝐞 𝐈𝐜𝐞𝐛𝐞𝐫𝐠™ 🏔. The Polaris Catalog lets you work with different vendors, moving data easily between many tools. Join the community and explore this new way of working. Get involved, contribute, and transform your data strategy today. Learn more on GitHub. https://lnkd.in/dT8sYMHm #DataInnovation #OpenSource #Snowflake #ApacheIceberg #PolarisCatalog

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IT teams are feeling squeezed. Surprise consumption costs, GenAI roadblocks and the need for speed are vexing. How are data and AI platforms responding–and is it enough? Read our 4 top takeaways from the recent back-to-back Snowflake and Databricks Data + AI Summits: https://bit.ly/3KPlRqS #DataAISummit #AI #DataCloud #DataCloudSummit #SnowflakeSummit2024 R. Joshua Huntley Bill Woods Michael Reyes

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We do a great job of explaining the “why” and the “what” behind transforming your business with Sigma Computing Join this webinar to understand “how” we can accelerate your time to Sigma value with fast & efficient migrations from your legacy BI tools.

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Great story on how a legal services firm deployed multiple new dashboards and migrated Tableau reports to @ThoughtSpot in just a couple of weeks. Because of this, they were able to reduce their Tableau licenses by half, significantly reducing costs. SME Solutions Group, Inc. shares more on this case study at the link: https://lnkd.in/eWGMiUNM Ready to migrate to ThoughtSpot? A process that will take a only few weeks, and will pay dividends for years to come."

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Exciting news! Snowflake has unveiled a cutting-edge system for large language models, featuring the powerful Llama 3.1 405B from Meta. This innovation brings a new level of efficiency and capability to AI applications. At 7Rivers, we're excited to harness this technology, enhancing our Data-Native™ approach to deliver unparalleled AI solutions for our clients. Our commitment at 7Rivers is to drive business value through use of intelligent data and advanced AI. Snowflake's latest offering, which allows real-time AI processing with minimal infrastructure, perfectly complements our mission. This advancement enables us to provide our clients with scalable, cost-effective AI applications, enhancing operational efficiency and driving impactful outcomes. The integration of Meta’s Llama 3.1 405B within Snowflake Cortex AI aligns with our Data Native™ Model, empowering us to create transformative solutions, optimizing processes, and creating a competitive advantage. Together with Snowflake, we're revolutionizing data usage to create intelligent, augmented business experiences. #AI #DataNative #7Rivers #Snowflake #GenerativeAI #BusinessTransformation

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There is a lot of dynamics in the #Lakehouse stack these days. It is high time that the community comes to an agreement for a common open catalog standard that can replace the increasingly dated #hivemetastore. For instance, Databricks (#DeltaLake ecosystem) open sourced #UnityCatalog last week: https://lnkd.in/d48Qvm44. Now, this catalog here by HANSETAG is an open source implementation of the #Iceberg catalog REST API, which comes with many bells and whistles for #enterprise deployments such as secure credential mapping. These two are not necessarily just disjunct alternatives when you take into account #Databricks acquisition of Tabular (now part of Databricks) and the plans they shared last week for convergence of #DeltaLake and #Iceberg: https://lnkd.in/dSC2zEf7 At the end of the day people will want a catalog that supports all established table formats and comes with the critical enterprise bells and whistles!

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Another customer focused innovation by my fellow Bricksters that further improves user experience and efficiency! Introducing Databricks Assistant Autocomplete. Assistant Autocomplete real time code suggestions as you type in SQL and Python. It uses context from code cells, Unity Catalog metadata, DataFrame data, and more to relevant suggestions as you type.

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Introducing Databricks Assistant Autocomplete. Assistant Autocomplete real-time code suggestions as you type in SQL and Python. It uses context from code cells, Unity Catalog metadata, DataFrame data, and more to relevant suggestions as you type. This is a super cool time saver for databricks practitioners leveraging our AI Assistant!!!

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Today, the Snowflake AI Research Team is thrilled to introduce Snowflake Arctic, a top-tier enterprise-focused LLM that pushes the frontiers of cost-effective training and openness. Arctic is efficiently intelligent and truly open. "Snowflake and AWS are aligned in the belief that generative AI will transform virtually every customer experience we know," said David Brown, Vice President Compute and Networking, AWS. "With AWS, Snowflake was able to customize its infrastructure to accelerate time-to-market for training Snowflake Arctic. Using Amazon EC2 P5 instances with Snowflake’s efficient training system and model architecture co-design, Snowflake was able to quickly develop and deliver a new, enterprise-grade model to customers. And with plans to make Snowflake Arctic available on AWS, customers will have greater choice to leverage powerful AI technology to accelerate their transformation." https://lnkd.in/eUnAAAKg

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Databricks LakeFlow helps data teams meet growing demands of reliable data & hashtag #AI through: ✔️ LakeFlow Connect: Simple & scalable data ingestion ✔️ LakeFlow Pipelines: Efficient declarative data pipelines ✔️ LakeFlow Jobs: Reliable orchestration for every workload See how👇

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Databricks LakeFlow helps data teams meet growing demands of reliable data & hashtag #AI through: ✔️ LakeFlow Connect: Simple & scalable data ingestion ✔️ LakeFlow Pipelines: Efficient declarative data pipelines ✔️ LakeFlow Jobs: Reliable orchestration for every workload See how👇

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Model zoos – public repositories of pre-trained models – help orgs accelerate adoption of ML & #GenAI. Explore the risk mitigation controls available in the Databricks Data Intelligence Platform & how you can extend them even further with HiddenLayer👇

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I'm looking forward to Snowflake Summit 2024 in San Francisco next week! Snowflake Cortex is the new platform for integrating machine learning and AI directly into your data workflows within Snowflake. It comes built in with LLM Functions and ML Functions. Protopia AI makes it possible to bring more previously restricted, sensitive data into your models on Cortex without compromising privacy or security. Looking forward to seeing you there and having some great conversations! #GenerativeAI #EnterpriseAI #SecureAI #Data #AI

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It was an amazing experience to collaborate with Animesh Kumar to write up this article, from whom I have learnt a lot in the past 3 years! Please read it through and let us know what you think. Follow Modern Data 101 for more such articles. #datastrategy #dataproducts #dataplatform

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While the Snowflake #datacloud supports a broad range of use cases ranging from AL/ML to Native Applications to #datacollaboration to #dataengineerring to #datascience, many customers start their journey by migrating their #datawarehouse workloads to the platform. While no migration is simple, we’ve developed a set of tools and assets to help customers out as they make this journey. In addition to our free #snowconvert table conversion tool (see: https://lnkd.in/gPqBqnBw ) we recently launched the Snowflake Data Cloud Academy Migrations Master Class. This is a great resource if you are considering moving from a legacy #datawarehouse to Snowflake, if you are looking to learn more about how Snowflake can support legacy #hadoop use cases, or if your current cloud DW is no longer scaling. Want to learn more? Check out the link below: https://lnkd.in/grFBUYFr #teradata #saphana #sybase #cloudera #hortonworks #sqlserver #netezza #vertica #greenplum #oracle #datalake

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