The concept of Golden Records is a critical component of Master Data Management (MDM). Let’s walk through the journey from raw data to a trusted Golden Record with a simple example. First, we start with Bronze Records??. These are raw, unprocessed data points collected from multiple sources. The data is often inconsistent, incomplete, and sometimes conflicting. For example, one data source might list a customer’s name and age correctly but miss their phone number, while another data source might have a variation of the same name or incomplete details. Next, we move to Silver Records??. Here, the data is cleaned, standardized, and deduplicated. While there may still be multiple versions of the same record, the inconsistencies are resolved. For example, the customer’s name is now consistent across systems, but some details, like contact information, might still need to be finalized. Finally, we arrive at Golden Records??. This is the single, unified, and trusted version of the truth. By merging and resolving conflicts from Silver Records, we create a definitive record. Now, every team in your organization can rely on this definitive version for analytics, decision-making, and operations. At LakeFusion, we make this process seamless. As a Databricks-Native MDM solution, LakeFusion helps you create and manage Golden Records directly within your Lakehouse environment. There’s no need for data movement or extra layers. If you’d like to see how LakeFusion can transform your data management, you can try it out on the Databricks Marketplace with our 14-day free trial - https://lnkd.in/gSSGjqs4. You can also request a free demo through our LinkedIn profile! #Databricks #GoldenRecords #DatabricksMDM #MasterDataManagement #NativeMDM #LakehouseArchitecture #MDM #DatabricksNativeMDM? #DataGovernance #DataQuality #DataSilos #DataManagement Vikas Punna Benjamin Collins Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Nikitha Tirumala Vipin Negi Peter Mulaka
Frisco Analytics
IT æœåŠ¡ä¸Žå’¨è¯¢
Austin，Texas 1,420 ä½å…³æ³¨è€…
Crafting Tailored Data Strategies for the Modern Enterprise
关于我们
At Frisco Analytics, we specialize in Enterprise Data Management and Cloud Migration Services, helping businesses revolutionize how they harness and utilize data. Our expertise in Cloud Data Management Services enables us to design tailored strategies and integration plans that drive data-driven digital transformation. With a global team of experts, we ensure swift and effective deployment of scalable data platforms, empowering organizations to unlock the full potential of their data. Our flagship product, LakeFusion is a Databricks native solution for Master Data Management (MDM). Designed to enable organizations to harness the power of Delta Lake and Unity Catalog. As a trusted partner of Databricks, we deliver optimized solutions for data engineering, machine learning, and analytics, with our offerings available on both the Azure Marketplace and Databricks Marketplace. Whether it’s scaling data workloads, ensuring interoperability, or accelerating time-to-value, we are committed to helping businesses achieve their data goals efficiently and securely.
- 网站
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www.friscoanalytics.com
Frisco Analytics的外部链接
- 所属行业
- IT æœåŠ¡ä¸Žå’¨è¯¢
- 规模
- 11-50 人
- 总部
- Austin，Texas
- 类型
- ç§äººæŒè‚¡
- 创立
- 2023
- 领域
- Master Data Managementã€Databricks Built On Partnerã€Customer 360ã€Data Qualityã€Unity Catalogå’ŒEntity Resolution
地点
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主è¦
获å–路线
US，Texas，Austin，78758
Frisco Analytics员工
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Srini Vemula
Building NeXT Gen Ai & Quantum Leaders|?A|Q?MATiCS|{igebra.ai}| ExDatabricks
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Peter Mulaka
Talent Acquisition Manager @ Frisco Analytics | Certified Talent Acquisition Specialist
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Vipin Negi
UI/UX Designer | Sr. Software Engineer (Flutter, Node.js)
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Nikhil Bharadwaj
Engineering Manager at Frisco Analytics | Ex-Databricks | Ex-SAP | Ex-HP
动æ€
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Frisco Analytics转å‘了
Master Data Management (#MDM) solutions are designed to cut through the noise and deliver a single source of truth - the "Golden Record". Take a look at this snapshot from LakeFusion dashboard, our Databricks-Native MDM solution. Here, we’re reviewing potential matches for a patient record. The system evaluates multiple sources, identifies discrepancies, and highlights the most accurate representation - our #GoldenRecord. What’s happening here? ? Potential Matches: The system scans through multiple sources, comparing attributes like name, address, and patient IDs. ? Golden Record: The most accurate and consolidated version of the data is identified, ensuring reliability for downstream processes. ? Merge or Reject: Users can seamlessly merge records or flag mismatches, maintaining data integrity. In our next post, we’ll dive deeper into the data refinement process: how raw "Bronze Records" from different sources are transformed into standardized "Silver Records," and finally, how we achieve the ultimate goal - a "Golden Record." We’ll walk you through a real-world example, step by step, so you can see exactly how LakeFusion turns data chaos into clarity. Vikas Punna Benjamin Collins Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Nikitha Tirumala Vipin Negi Peter Mulaka ?#Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #DatabricksNativeMDM?#DataGovernance #DataQuality #DataSilos #DataManagement #DataTransformation
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Our latest technical blog,?‘Introducing Databricks-Native Master Data Management (MDM) with LakeFusion,’?is now live on Databricks Community! In this blog, we dive into: - Why traditional MDM solutions fall short in modern data ecosystems - How LakeFusion, as a?Databricks-Native MDM solution, is redefining data management - Real-world use cases and the transformative impact of unified, trusted data Whether you’re tackling data silos, improving governance, or enabling AI-driven insights, this blog is for you. Read it here:?https://lnkd.in/dNuCgWx5 Vikas Punna Benjamin Collins Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Nikitha Tirumala Vipin Negi Peter Mulaka #Databricks #DatabricksMDM #MasterDataManagement #NativeMDM?#Deduplication #LakehouseArchitecture #MDM #DatabricksNativeMDM #EntityResolution #DataGovernance #DataQuality #DataSilos #DataManagement #AI
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The rise of AI and advanced analytics has created unprecedented opportunities, but only for organizations that can truly trust their data! Don’t miss this opportunity to learn from industry experts and discover how AI-powered Master Data Management (#MDM) can revolutionize your data strategy. Frisco Analytics CEO Vikas Punna will be joining Mark Lee, Industry Ecosystem GTM Healthcare and Life Sciences at Databricks and TDWI research fellow Donald Farmer in an upcoming webinar to discuss how forward-thinking organizations are implementing AI-powered MDM to?break down data silos, improve governance, and enable seamless access to trusted data. Register now: https://lnkd.in/ddfFeTVx #Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #LakehouseArchitecture #MDM #DatabricksNativeMDM? #DataGovernance #DataQuality #DataSilos #DataManagement #Webinar
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We’re excited to share that Frisco Analytics CEO Vikas Punna will be joining Mark Lee, Industry Ecosystem GTM Healthcare and Life Sciences at Databricks and TDWI research fellow Donald Farmer in an upcoming webinar to discuss how forward-thinking organizations are implementing AI-powered Master Data Management (#MDM) to?break down data silos, improve governance, and enable seamless access to trusted data. Don’t miss this opportunity to learn from industry experts and discover how AI-powered MDM can revolutionize your data strategy. Register now: https://lnkd.in/ddfFeTVx #Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #LakehouseArchitecture #MDM #DatabricksNativeMDM? #DataGovernance #DataQuality #DataSilos #DataManagement #Webinar
The rise of AI and advanced analytics has created unprecedented opportunities, but only for organizations that can truly trust their data. Don't miss this opportunity to join TDWI research fellow Donald Farmer and leading industry analysts from Databricks and Frisco Analytics as they discuss how forward-thinking organizations are implementing AI-powered MDM to break down data silos, improve governance, and enable seamless access to trusted data. https://bit.ly/3F0xWdc . . . #webinar #TDWI #AI #DataQuality #MDM #Datagovernance
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Master Data Management (#MDM) solutions are designed to cut through the noise and deliver a single source of truth - the "Golden Record". Take a look at this snapshot from LakeFusion dashboard, our Databricks-Native MDM solution. Here, we’re reviewing potential matches for a patient record. The system evaluates multiple sources, identifies discrepancies, and highlights the most accurate representation - our #GoldenRecord. What’s happening here? ? Potential Matches: The system scans through multiple sources, comparing attributes like name, address, and patient IDs. ? Golden Record: The most accurate and consolidated version of the data is identified, ensuring reliability for downstream processes. ? Merge or Reject: Users can seamlessly merge records or flag mismatches, maintaining data integrity. In our next post, we’ll dive deeper into the data refinement process: how raw "Bronze Records" from different sources are transformed into standardized "Silver Records," and finally, how we achieve the ultimate goal - a "Golden Record." We’ll walk you through a real-world example, step by step, so you can see exactly how LakeFusion turns data chaos into clarity. Vikas Punna Benjamin Collins Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Nikitha Tirumala Vipin Negi Peter Mulaka ?#Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #DatabricksNativeMDM?#DataGovernance #DataQuality #DataSilos #DataManagement #DataTransformation
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In healthcare and many other industries, inconsistent data isn’t just an IT problem. It’s a business problem. Here’s a real-world example: The same patient, but with slight variations in their name across systems. Result? Duplicate records, billing errors, and challenges in patient care coordination. Before MDM with LakeFusion: Patient data arrives from three different sources (Practice Management System (PMS), Health Information Exchange (HIE), Electronic Health Records (EHR)) - Multiple systems, multiple versions of the truth. - Inconsistent data (Thomas Clark is listed as both Male and Female, with variations in name and no unique identifier). - Time wasted reconciling errors, and risks of incorrect decision-making. After MDM with LakeFusion: No more duplicates or inconsistencies. Just accurate, reliable data. - A single, unified view of your data with a unique Patient ID. - Consistent, accurate, and reliable data across all systems. - Faster, smarter decisions powered by trusted data. LakeFusion is more than just an MDM solution, it’s a Databricks-Native platform designed to break down data silos, ensure data quality, and empower your teams to focus on what matters most. You can experience it for yourself with our 14-day free trial. See how LakeFusion can transform your data management workflows. Start your free trial today: https://lnkd.in/gSSGjqs4 Vikas Punna Benjamin Collins Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Nikitha Tirumala Vipin Negi Peter Mulaka #Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #LakehouseArchitecture #MDM #DatabricksNativeMDM #HealthcareIT #DataQuality #DataManagement
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Great insights! Also, a strong data model is the foundation of good MDM. Without it, mastering data across systems becomes a challenge—leading to inconsistencies, duplication, and inefficiencies.
@ Quadrabyte helping companies understand their data | @ GTMarketLabs helping startups figure out sales
Ignoring data model is costing you time ? & money ?? Reasons: 1?? Without proper data modeling, queries take longer to execute because the database lacks optimized indexes, partitions, and relationships. This results in higher compute costs (e.g., for cloud-based databases) and wasted engineering time spent optimizing queries later. 2?? Poorly structured data leads to data redundancy and bloated storage. 3?? Without clear entity relationships and constraints, duplicate or conflicting data can occur. Fixing inconsistencies later requires costly data cleaning and manual reconciliation. 4?? A poorly modeled database leads to technical debt, making future changes difficult. 5?? Analysts struggle to extract insights because data is disorganized, lacks relationships, or has unclear meaning. More time and money are spent cleaning and transforming data for reports. If you look closely, you'll see that Data Modeling has a purpose in every layer: ? in the Bronze layer ? Data Vault 2.0 ? in the Silver layer ? 3rd Normal Form (3NF) ? in the Gold layer ? Dimensional model ? in the Platinum layer ? One big table (OBT) Read article by Siva Ilango ?? https://lnkd.in/ey4hcuRE #databasemodeling #databasearchitecture #medallionarchitecture
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Happy International Women’s Day from all of us at Frisco Analytics! We're honored to support the International Women’s Day 2025 Celebration at Databricks Bellevue hosted by an incredible lineup of organizations, including Seattle Spark + AI, PyLadies Seattle, GDG Bellevue, Women Techmakers Seattle, and many more. Here’s to celebrating the incredible achievements of women in tech and beyond, and to building a future where everyone thrives. #InternationalWomensDay #WomenInTech #IWD2025 #CelebrateWomen
Honored to introduce IWD 2025's speakers ????? Anquida A. - Founder/CEO, Let's Talk Disability Global ?? Tao Tao Director of Engineering at Databricks, Linda Wagner Program Director UW. March 13 - International Women’s Day 2025 celebration! ?? at Databricks Bellevue ?? Our biggest open source party of the year! Swag bags, cowgirl hats, LED glasses, LED tiaras, inflatables, etc... and a super cool all women speakers line up! ???? Call for volunteers Volunteering Form: https://lnkd.in/ewVEmzqt ?? ???? ?? Get together with Seattle Spark + AI, PyLadies Seattle, GDG Bellevue, PyData Seattle, Women Techmakers Seattle, Seattle Artificial Intelligence Workshops, R-Ladies Seattle and WiMLDS Seattle - Women in Machine Learning and Data Science, Databricks MVP Seattle meetups Event program: 5:00 - 5:30 - Candy ???? eat, beverages, swag and network Hamburgers, Fried Chicken, Tamales, Tacos, Cuban Sandwich, Vietnamese Sandwich, Mochi Donuts, desserts! - Donated by Databricks and Delta Lake , Denny Lee ???????? Swag bags: Google , Statsig , Perfect Day Games , Josh Ayala , NVIDIA , Tom Drabas , Bianca Pryor , O'Reilly , Escalon Services , ??Robert Ricciardelli?? ★ , GitHub , Jon Peck , Chicory , Saurabh Sarkar , MotherDuck , Ryan Boyd ?? , Anaconda, Inc. , Sheikh Shuvo , Snowflake , John Kew ???? Hal9 , Javier Luraschi ???????? Cupcakes: Frisco Analytics , Vikas Punna ?? 5:30 - 5:45 Announcements - Honorable MC - Rena Cummings, PM, TM. Scrum 5:45 - 6:45 - Panel 1 - Theme: Women in Leadership: Breaking Barriers - Moderator: Oli Dinov Director of Developer Relations and Operations Bytewax, Speaker: Tao Tao Director of Engineering at Databricks , Anquida Adams - Founder/CEO, Let's Talk Disability Global, Linda Wagner Program Director, Academic Programs, Robin Cole Director at Microsoft. * 10 min - Bingo ?? Micheleen Harris Data Scientist 7:00 - 8:00 - Panel 2 - Theme: The future of AI [Technical] - Moderator: Anusua (Anu) Trivedi Head of GenAI Oracle. Speaker: Ming Wu Head of Engineering Atlassian, Holden Karau Co-Founder Fight Health Insurance, Joyce Gordon Head of AI Amperity, 4 * 10 min - Ice breaker ?? Mae LaPresta Software Engineer at Google and Hemie Choi Software Engineer | Game Developer 8:15 - 8:45 - Keynote - Talk 8:40 - 9:00 - Pies and cake bar! ?????? ?? Event RSVP: https://lnkd.in/gXAzfRdY ? ?????????? Mentors in Tech (MinT), CodeDay and Statsig have info booths at our event.?? Supporting over 13,250+ software engineers and data scientists enthusiasts in the Seattle area ?? We provide all our meetup services free of charge thanks to generous sponsors that provide us with in kind donations in every event. NumFOCUS 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific projects for Data Science, including: Pandas, NumPy, Julia, Scipy, @Sympy, scikit-learn, R and many more! https://numfocus.org/ #Databricks, #dataintelligence, #MosaicAI, #DataAISummit
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Ever felt like your data is stuck in a maze? By the time it's ready, the opportunity is gone. This is why we built LakeFusion, the first Databricks-Native Master Data Management (#MDM) solution. LakeFusion is more than just an MDM solution, it’s a natural extension of your Databricks Lakehouse. By keeping everything inside Databricks, we’re empowering businesses to unlock the full potential of their data. No data movement. No extra layers. Just seamless, native integration that empowers business users to take control of their data workflows. Our 14-day free trial is the perfect opportunity for teams to experience the future of data management firsthand - https://lnkd.in/gSSGjqs4 Vikas Punna Nikhil Bharadwaj Sagar Prajapati Shridhar Elango Vipin Negi Peter Mulaka Nikitha Tirumala #Databricks #DatabricksMDM #MasterDataManagement #NativeMDM #LakehouseArchitecture #DatabricksNativeMDM #FreeTrial
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