Roman Klimenko

Many businesses struggle with MySQL High Availability (HA) setups, leading to unexpected downtime and data inconsistencies. This article dives into why up to 80% of MySQL HA setups fail in production and offers practical strategies to ensure robust, always-on database performance. You will learn proven solutions to avoid split-brain disasters, cascading failures, and data loss. Read more: https://lnkd.in/gBqHr2MK

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🚨 Still using a one-size-fits-all approach to data integration? You might be slowing down your entire pipeline. In the ever-accelerating world of data, choosing between ETL and ELT isn’t just technical—it’s strategic. ETL offers control and compliance; ELT delivers unmatched speed and scale. But which fits your next project best? Scalytics just dropped a must-read guide: “ETL vs. ELT: Decoding the Data Wrangling Showdown.” Unpack the trade-offs, explore emerging trends like hybrid architectures and federated learning, and discover how to future-proof your data stack. 👉 Read the full breakdown and see which method gives your business the edge: [Insert Article Link] #DataIntegration #ETL #ELT #Scalytics #DataStrategy #AI #DataOps #DataEngineering Read the full article: https://lnkd.in/eQPpt5EW

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Databricks isn’t the problem. The missing orchestration layer is. Even with millions invested, too many teams end up with: 😱 Endless engineering backlogs 😱 Fragile, inconsistent pipelines 😱 Stakeholders shut out of the process The result? Zero trust. Zero impact. In our free whitepaper, we break down the 5-step action plan to turn Databricks into real business value. Link in the comments ⬇️

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"All-in-One" Suite 🆚 "Best-of-Breed" Approach Most organizations aren’t 100% on any single platform. Heterogeneity is the norm. That’s why metadata freedom is becoming a critical architectural discussion. 👉 Full read: https://lnkd.in/gHnrPvxd In this article, we break down: • why vendor lock-in matters more at the metadata layer • how multi-engine environments change governance • the tradeoffs between open catalogs and vertically integrated platforms This topic affects every engineering team operating across Spark, Trino, Flink, warehouses, vector stores, and AI systems.

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Scalestack uses AI to automate company research for sales teams at leading tech companies like Databricks and Ramp, helping them spend more time closing deals instead of digging for data. With Redis Streams as the nervous system of their AI-powered GTM orchestration engine, Scalestack gained enterprise-scale performance, faster sales intelligence, operational excellence, and simpler sales tech. Swipe for a full breakdown. Read more: https://lnkd.in/gr4tyTHS

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The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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Multiple databases. One platform. MySQL. MongoDB. Redis. Elasticsearch. Your data stack isn’t the problem, managing consistency, migrations, and performance across all of them is. Every schema change feels risky. Every migration invites downtime. Every integration adds another layer of complexity. COCREATE brings order to your data chaos: - Standardized integration templates for MySQL, MongoDB, Redis & Elasticsearch - Built-in migration tools embedded directly in integration flows - Real-time monitoring for latency, throughput & performance Before you go live, run migrations safely in COCREATE’s sandbox environments. Validate schema consistency. Measure performance. Roll out with zero surprises. Your data deserves smarter integrations, not riskier ones. Build, migrate, and optimize your databases seamlessly with COCREATE. Explore more at https://lnkd.in/d4yXMwxh #DataEngineering #DevOps #MySQL #MongoDB #Redis #Elasticsearch #DataMigration #DatabaseManagement

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1） Production-first architecture: TrustGraph is built for operational durability, not demos—containerized, modular, and backed by an Apache Pulsar streaming spine for replay, recovery, and schema evolution. 2） Dual knowledge representation: Instead of chunking docs, LLMs extract entities and relationships into an RDF knowledge graph while entity embeddings are stored in Qdrant—enabling grounded, auditable answers. 3） Deterministic, graph-anchored retrieval: Queries embed into vectors, Qdrant returns nearest entities, those expand into a curated subgraph, and the LLM answers strictly from that context—surpassing traditional RAG. 4） Production outcomes that matter: The stack yields determinism, resilience, scalability, data sovereignty, and developer simplicity—making agentic AI practical for enterprise SLAs and compliance. 🔔 Follow us for daily AI updates! 📘 Facebook: https://lnkd.in/gxDt7PJa 📸 Instagram: https://lnkd.in/gmYfWDbF #TrustGraph #Qdrant #AgenticAI #AIGenerated #CreatedWithAI

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🔥 Baserow 1.35 is live — focused on visualization, data sync, and flexibility. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭’𝐬 𝐧𝐞𝐰: → Pie & doughnut charts for dashboards → Two-way sync with PostgreSQL → Formula fixes and improvements → Selective workspace exports + more 📖 Full release notes → https://bsrw.io/HOLsnh #baserow #nocode #appbuilder #productivity #charts

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People often ask how our VPs are prepared before working with clients.​ ◉ They don’t get placed and then “figure it out.”​ ◉ They train inside structured workflows first.​ ◉ They practice inside system environments.​ ◉ They review documentation for accuracy.​ ◉ They shadow real processes.​ ◉ They’re supervised while owning parts of the workflow.​ ​ By the time they’re client-facing, they’ve already operated inside structure - not just studied it.​ That preparation shows up in the details. #Savvital #AIEnabledOperator #SavvitalTraining​

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Software Alliance leaders, is your cloud marketplace strategy built for hyper-growth? Hear how experts at Redis on how Google Cloud Marketplace has been key to their scaling success: 🛒 Accelerate GTM 🛒 Efficiently draw down on cloud commitments 🛒 Achieve speed in scaling solution reach To catch the full podcast, scroll down to "Maximize your Google Cloud Marketplace opportunity" section → https://goo.gle/3J9vRxA

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