SDI Presence appoints Garrick Schermer as AI Data Strategy & Governance Lead

🌊 𝐃𝐚𝐲 61: 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐯𝐬 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 🏛️ ❓𝐐1: 𝐀𝐫𝐞 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞𝐬 𝐚𝐧𝐝 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 𝐛𝐚𝐬𝐢𝐜𝐚𝐥𝐥𝐲 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞? 💡𝐀: Not really — their foundations are different. • A 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 (𝐃𝐖) is schema-on-write. That means data must be cleaned, transformed, and structured 𝘣𝘦𝘧𝘰𝘳𝘦 it enters the system. It’s optimized for fast SQL queries and BI reporting. • A 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞, on the other hand, is schema-on-read. Data can be stored in its raw form (structured, semi-structured, unstructured), and only when you query it do you apply schema and transformations. 👉 Bottom line: 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 𝐞𝐱𝐜𝐞𝐥 𝐚𝐭 𝐜𝐥𝐞𝐚𝐧, 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐚𝐛𝐥𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, while 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞𝐬 𝐠𝐢𝐯𝐞 𝐟𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐨𝐫 𝐫𝐚𝐰 + 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝𝐬 like ML and AI. ❓𝐐2: 𝐖𝐡𝐲 𝐰𝐨𝐮𝐥𝐝 𝐚 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐦𝐨𝐯𝐞 𝐟𝐫𝐨𝐦 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐭𝐨 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞? 💡𝐀: Flexibility, scalability, and cost efficiency are the main reasons.  In a DW-only setup, companies often maintain 𝘵𝘸𝘰 𝘴𝘺𝘴𝘵𝘦𝘮𝘴:  1. A 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞 for raw data ingestion.  2. A 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 for curated analytics. • A Lakehouse merges these into one, cutting redundancy and data movement. • Storage costs are lower since you’re keeping data in cheaper formats (like Parquet/Delta). • Plus, data scientists get direct access to historical + unstructured data for AI/ML, which a warehouse alone can’t easily provide. 👉 In short: Lakehouse = 𝐨𝐧𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐟𝐨𝐫 𝐁𝐈 + 𝐀𝐈. ❓𝐐3: 𝐈𝐬 𝐚 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐭𝐡𝐞 𝐛𝐞𝐭𝐭𝐞𝐫 𝐜𝐡𝐨𝐢𝐜𝐞? 💡 𝐀: Not always — it depends on your workload maturity. • If your organization is heavily BI-focused with highly structured data (finance, sales, reporting dashboards), a 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 will likely perform better with lower complexity. • If your use cases involve IoT, logs, images, machine learning, and diverse data formats, a 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 offers flexibility and future readiness. • Many modern enterprises actually use a 𝐡𝐲𝐛𝐫𝐢𝐝 𝐦𝐨𝐝𝐞𝐥: Warehouses for fast reporting + Lakehouses for innovation and advanced analytics. 👉 The smartest path? Evaluate 𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘸𝘰𝘳𝘬𝘭𝘰𝘢𝘥𝘴 𝘷𝘴 𝘧𝘶𝘵𝘶𝘳𝘦 𝘯𝘦𝘦𝘥𝘴 before deciding. 🔜 𝐍𝐞𝐱𝐭 𝐮𝐩: Introduction to Data Vault Modeling in Azure🏰 #AzureDataFactory #Azure #DataEngineering #DaysOfAzure #DataPipelines #Automation #CloudETL #AzureLearning #AzureEngineering #Learning #Learn #ADF #Datasets #ETL #Cloud #DataFlow #Transformations #DataFlows #ETLTools #CloudIntegration #LearnAzure #QnA #Learner #ELT #CloudData #LinkedInLearning #LearningJourney #MicrosoftAzure #TechCommunity #BigData #Lakehouse #DataWarehouse #DataArchitecture #Day61

"The Race to Build the Ultimate Data Platform" Blog Just published a blog titled "The Race to Build the Ultimate Data Platform" - exploring how AI demands and efficiency goals are driving the shift from fragmented tools to unified data platforms. Organizations investing in comprehensive platforms gain operational resilience, better governance, and accelerated AI adoption. Read how Amazon Web Services (AWS), Microsoft, Google, Databricks, Cloudera, Qlik, Oracle, and others are competing to build the most comprehensive platforms to support the needs to data driven companies leveraging their enterprise data and AI. Take a look! #DataPlatforms #AI #DataManagement #DigitalTransformation #DataStrategy Enterprise Strategy Group (part of Omdia) https://lnkd.in/eQn4PcWx

Only 25% of AI projects hit expected ROI—and fewer than 16% scale enterprise-wide. That’s the gap 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐂𝐨𝐫𝐭𝐞𝐱 𝐀𝐈 is built to close. 🚀 Thrilled to share that my new blog: “𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐂𝐨𝐫𝐭𝐞𝐱 𝐀𝐈: 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬.” is now live on Boolean Data Systems’s website✨ Highlights: - Why enterprise AI stalls: poor data quality is a leading blocker, cited by up to 77%+ in recent surveys. 🧹📉 - How Cortex AI bridges it: fully managed AI/ML inside the Snowflake Data Cloud—no data movement, simplified infra, governed end-to-end. 🔐⚙️ - Unified path to intelligent analytics: bring AI to the data, turn insight into action at scale. 📊🤖 Read the full post: https://lnkd.in/gH6Cj7y8 #EnterpriseAI #CortexAI #DataAnalytics Snowflake OpenAI Streamlit Snowflake Developers

IndiGo has adopted Snowflake AI Data Cloud to create a unified enterprise data hub enhancing customer experience through real-time insights and and informed decision-making. Snowflake's platform enables IndiGo to analyze, optimize, and automate processes, empowering employees and fueling AI initiative .. Read more at: https://lnkd.in/gd6M7WH7 Read more at: https://lnkd.in/gd6M7WH7 Read more at: https://lnkd.in/gd6M7WH7

Data Masking a Billion Rows in 5 Minutes See how Obfusware AG can mask 1 billion rows of data in 5 minutes using AWS Glue. A next-gen data masking solution built to meet the challenges of AI and data. https://lnkd.in/ehCHsiqg

How will AI and open source redefine enterprise data platforms? In 2025, enterprise data platforms are the backbone of how businesses run and manage data across cloud, on-prem and edge environments. They power everything from finance and supply chains to customer experience and strategic planning. With AI increasingly baked into daily workflows and compliance rules tightening, companies need data that’s clean, easy to find and ready to use on the spot. Enterprise data vendors are adapting rapidly to meet these needs and stay competitive. What do you think? Learn more here 👉 https://champ.ly/BKYmzPIC #AI #digitaltransformation #datavalue #analytics #GenAI #NLP

How will AI and open source redefine enterprise data platforms? In 2025, enterprise data platforms are the backbone of how businesses run and manage data across cloud, on-prem and edge environments. They power everything from finance and supply chains to customer experience and strategic planning. With AI increasingly baked into daily workflows and compliance rules tightening, companies need data that’s clean, easy to find and ready to use on the spot. Enterprise data vendors are adapting rapidly to meet these needs and stay competitive. What do you think? Learn more here 👉 https://champ.ly/BKYmzPIC #AI #digitaltransformation #datavalue #analytics #GenAI #NLP

Qlik Announces Canada Cloud Region to Empower Data Sovereignty and AI Innovation: TORONTO, Sept. 9, 2025 -- Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced ...

IndiGo has adopted Snowflake's AI Data Cloud to create a unified data hub, enabling real-time insights. This strategic decision aims to enhance the customer experience, boost operational efficiency, and propel AI initiatives within the organization. To delve deeper into this transformative step, check out the article https://lnkd.in/dxWMWiGr #snowflake #aiml #indigo

Looking to get started with OpenMetadata? This helpful step by step guide walks you through it and leverages NetApp Instaclustr for managed OpenSearch and PostgreSQL to support the OpenMetadata solution. https://lnkd.in/eDzHXwxC #managedservices #datadiscovery #governance #AI