Paul Burpo

If you are on-premises (or have a big data footprint in the cloud), there is only one storage vendor I wholeheartedly recommend for high end database workloads. And they care about databases like SQL Server! Thanks Anthony Nocentino and Pure Storage

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For decades, enterprises have been managing legacy systems they never fully understood, patching what breaks, deferring what’s hard, and watching modernization projects stall before they start. Not because the teams weren’t smart. Because the complexity was genuinely impossible to untangle at speed. That just changed. Microsoft’s Azure Copilot Migration Agent and GitHub Copilot now bring AI across every phase, from discovery to code transformation, compressing timelines while improving quality. Months become days. What felt impossible last year is table stakes today. If you’ve ever looked at your application portfolio and thought “we’ll get to it eventually,” eventually is now. Send this to your team. Read it together. Then ask the question you’ve been putting off: what’s stopping us? https://lnkd.in/gk7vqvwx #Azure #AI #TechDebt #Modernization #AgenticAI #Microsoft #AIReady

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I updated my blog post detailing Delta table compatibility nuances between Fabric and Databricks to account for Delta 4.0 functionality: https://lnkd.in/guTwtSZH TL/DR: There's a very high level of combability, so before blindly enabling the new Compatibility Mode on tables in Unity Catalog, make sure to use my Python library to check if there are any table features which may be blocking interop. Once Fabric Runtime 2.0 EPP ships globally, all other read blocking features will be supported (Variants, Type Widening). The Python library `onelake-shortcut-tools` will generate a DataFrame in seconds that details the compatibility based on the target Runtime in Fabric: https://lnkd.in/gTPdji69 Cheers! #DeltaLake #Interoperability #Lakehouse #MicrosoftFabric #FabricSpark #ApacheSpark #Databricks

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This is super cool! Microsoft has been contributing to the PostgreSQL open-source project since 2019, and just for the upcoming version 18, so far they have 456 commits with Microsoft authors (or co-authors), which is about 18.6% of all commits. Some of these commits include stuff like: - Asynchronous I/O subsystem - OAuth infrastructure for authentication - Early groundwork for Multithreading (yes, it's happening) - Amortize aggressive vacuum cost - Fast database cloning - Reduce planning time for partitioned tables with many partitions - Optimize memory management for materialize, window aggregation, & CTE scans - Speed up hash GROUP BY & Hash Join - Remove redundant GROUP BY columns using UNIQUE indexes - Refactor executor to allow inlining of core logic - etc, see the article for the full list. I wish that more tech giants would contribute even more. They are all benefiting from this project. Also, I wish more people would comprehend the fact that PostgreSQL is not (just) a database. It's a full-blown software development platform. https://lnkd.in/dGq6_yi4

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This study is our comparison of #MicrosoftFabric Real-Time Intelligence against a leading competitive build solution that uses Confluent Kafka and Confluent Flink running on AWS. It offers measurements of scale, performance, and cost under common scenarios as one set of inputs to help organizations identify the platform best suited to their #realtime data needs. This evaluation tested two critical real-time use cases across low-volume (10 GB/hour) and high-volume (100 GB/hour) scenarios to reflect real-world enterprise demands: Scenario 1: Real-time #streaming ingestion and #analytical query executions Scenario 2: Real-time streaming ingestion and alert notifications https://lnkd.in/g8bQBJhW #datascience #artificialintelligence #bigdata #analytics #machinelearning #Cloud #BusinessIntelligence #dataintegration #datamanagement #digitaltransformation #DataLake #datawarehouse #MasterDataManagement #VectorDatabase #database #Streamingdata #DataObservability #LLM

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It’s so nice seeing Apache Fluss (Incubating) at #current2025 today’s keynotes ❤️ Although to be clear it’s not a table format, but a streaming storage for realtime data & AI. It offers a native streaming/lakehouse architecture though, which allows tiering data as open table formats, currently supporting #apachepaimon, Apache Iceberg and the Lance data format. 🌊 It uses a single copy of the data, with bucketing and partitioning techniques being synced from the hot layer (Fluss) to the warm/cold layer (open table formats). For those that heard the new term: context engineering - it’s one of the most efficient solutions out there to leverage both realtime and historical data seamlessly 💥

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Stop teaching CodeDeploy for ECS Blue/Green! 🛑 AWS ECS has fundamentally changed deployment. It now natively supports Blue/Green and Canary/Linear strategies, eliminating the dependency on AWS CodeDeploy and drastically simplifying your CI/CD pipelines. But how do you train your team on this new, simplified flow? My open-source project, https://lnkd.in/gXeiW3iy , provides clear, animated visual guides. This project was built using #AWSKiro to bring these complex flows to life! Use it to: ✅ Instantly explain the native ECS traffic shifting process. ✅ Accelerate onboarding and unify team knowledge. ✅ Future-proof your team's skills with the latest, simplest AWS practices. Stop wading through documentation. Start seeing the simplified flow! 👉 View the animations and simplify your team's training: https://lnkd.in/gEeJ_iND Hit the Star ⭐ if your team is excited about simpler cloud deployments! #AWSECS #DevOps #CloudNative #CI_CD #AWSKiro #OpenSource

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This is a great post by Billy Z. on how to properly configure cross-region restores using the recovery service. I found this super helpful to explain the nuances of backups in the cloud. https://lnkd.in/eCbR3T8R

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https://lnkd.in/grvbsXFP New blog post. I'm showing how to: => Create an Auth Token in OCI. => Create an Object Storage Bucket in OCI. => Create a Lifecycle Policy Rule in the Object Storage Bucket. => Create a Credential in Autonomous Database. => Create a PL/SQL Procedure to: ====> Execute a Data Pump Export using DBMS_DATAPUMP. ====> Copy the Dump and Log Files to the Object Storage Bucket. ====> Manage the retention inside DATA_PUMP_DIR directory object. => Create a Scheduler Job Class. => Create a Scheduler Job. => Check the execution of the Scheduler Job. => Check the content for the Object Storage Bucket.

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📢Azure Storage Priority Replication is GA 1️⃣ Account-level, cross-region acceleration with an SLA 2️⃣ Levarage replication policies so chosen containers/prefixes move first—perfect for hot paths, cutovers, and seeding new regions 3️⃣ Reduce risk, recover faster, and plan migrations confidently Learn more 👉 https://lnkd.in/dDCgTPgs #msft #azure #cloud #microsoft #data #programming

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Both OCI File Storage (FSS) and Lustre drastically reduce container image fetch and execution times on repeat accesses. Learn more: https://lnkd.in/gYu2nMJV

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