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SIEM costs are climbing and your SOC still can't see everything that matters. DataBahn gives CISOs one control plane to cut cost, close visibility gaps, and own their data — on their terms.

Every "best master data management software" list I have read this year has the same problem. It was written for enterprise data teams reconciling customer records. Finance was an afterthought. Finance has a different job. The chart of accounts, legal entities, cost centers, and hierarchies have to stay correct across the ERP, the EPM applications, and the warehouse, on a close calendar that does not move. So we wrote the comparison we could not find: nine platforms, judged on the six things finance actually needs. 1. Governance workflow. Can a change be requested, approved, and deployed through an audited path? 2. Data quality. Is bad metadata blocked at entry, or found during close? 3. Enterprise integration. Does it reach Databricks, SAP, Oracle EPM, OneStream, and your ERP without a build? 4. Business-user ownership. Can finance run it without a ticket? 5. Audit and versioning. Who, what, when, why. 6. Cost and licensing. Does the pricing model punish growth? We covered Informatica, Profisee, Semarchy, SAP MDG, Oracle EDM, Ataccama, Reltio, Stibo, and EPMware. Yes, EPMware is ours, and we say where each of the others is the better choice. The pattern that emerged: most of these are excellent platforms built for IT. Only a couple are built for the close. Full guide in the comments. #MasterDataManagement #FinanceTransformation #OfficeoftheCFO #DataGovernance

Choosing MDM software for finance? Check who will run it day to day. Your team needs to keep accounts, entities and hierarchies aligned across systems. That means knowing who can approve a change, how it gets checked and how it reaches every application. EPMware’s buyer’s guide compares nine platforms on finance ownership, integrations, audit history and licensing. Use it to build a shortlist around the work your finance team actually needs to do.

Managing an electricity network requires accurate information about assets, connections and changes. When records are incomplete or outdated, it becomes harder to assess risks and plan improvements. UNE for ArcGIS helps more authorised employees update network information, supporting informed maintenance and planning decisions. Learn how UNE can support your existing ArcGIS Utility Network.

Accurate network information is essential for planning maintenance, managing assets and understanding changes across your electricity network. UNE for ArcGIS helps more employees contribute updates, making it easier to maintain current network records. Discover how UNE can support better visibility of your network.

Equiti Group, a global fintech leader in advanced trading technology, physical commodities, and payment software is expanding into institutional and wealth management. They built a managed store for pricing, trade, and machine learning data on ClickHouse Cloud for Azure, giving its teams faster access to historical analysis while reducing operational overhead. You’ll learn how they: - Run complex statistical and time-series analysis across historical market data - Support trading-desk analytics and application workloads on the same database - Backtest strategies across high-volume pricing and trade data - Use ClickHouse Cloud for autoscaling, backups, and managed storage to simplify operations

Dataciders hilft Ihnen dabei, aus Strategie messbare Ergebnisse zu machen.

Traditional monitoring leaves AI teams flying blind. Gartner® explains why AI observability is now essential for governing agentic AI, controlling costs, and scaling production workloads with confidence.

Your data lives in OneLake. But AI agents, customer-facing apps, and live dashboards need millisecond answers at a concurrency no analyst team would generate. The ClickHouse workload for Microsoft Fabric, in public preview since September 2026, adds ClickHouse as a native item in your workspace. OneLake stays your source of truth. ClickHouse delivers sub-second, high-concurrency queries on dedicated Azure compute that never touches your Fabric capacity. See it live, with Alex Francoeur and Aditya Chidurala from ClickHouse: - Create a ClickHouse item and spin up a service automatically - Sync Lakehouse tables from OneLake in a few clicks - Run aggregations over billions of rows in the embedded SQL console - Connect Power BI, or enable governed, read-only access for agents in Copilot Studio, Azure AI Foundry, GitHub Copilot, and any MCP-compatible tool - Upgrade through Azure Marketplace Who should attend: Data engineers, analytics engineers, and platform teams on Fabric who need to serve agents, apps, or dashboards from OneLake data. No ClickHouse experience needed.

Fragmented data and inconsistent business logic can make it difficult to trust analytics and AI. Join Fivetran and dbt Labs on 17 November for a 15 minute live demo of how they help teams move, transform and test data. https://lnkd.in/ef36_pYb

Ihre KI ist schnell, nur Ihre Prozesse nicht. So schließen Sie die Lücke zwischen Technologie und Organisation.

👻 Sneak peak from the webinar this Thursday: Debugging Apache Airflow's scariest issues! It is spooky season and Kenten Danas and I selected some of the spookiest errors we've encountered to tackle together with our agentic friends! You'll learn how to tackle the kind of issues where the error trace does not help (or does not exist) as well as how to give your agents the best shot at being helpful assistants in debugging Airflow. Join us live on Thursday Oct 29th at 11am ET / 4pm CET! Or register and watch the recording afterwards (but this one is much more fun live 😄 ) Link in the comments!

Fragmented data, inconsistent business logic and unreliable pipelines make it difficult to trust analytics and AI. Register for this 15 minute live webinar to learn how Fivetran and dbt Labs can build a reliable data foundation. https://lnkd.in/ef36_pYb

Is werken als Data Engineer bij Creates iets voor jou? ➡ Werk en ontwikkel je met de nieuwste technologie zoals Databricks & Microsoft Fabric; ➡ Je bouwt oplossingen die jaren meegaan - geen quick fixes, maar architectuur om trots op te zijn ➡ Een directe buddy die jou begeleidt in onboarding, ontwikkeling en dagelijkse werkzaamheden Meer weten? Check de vacatures 👇https://lnkd.in/egE2TaEt

𝗖𝗵𝗶𝗻𝗮’𝘀 𝗙𝗶𝗿𝗺𝘀 𝗖𝗹𝗼𝘀𝗶𝗻𝗴 𝗢𝘂𝘁 𝗙𝗼𝗿𝗲𝗶𝗴𝗻 𝗦𝗠𝗘 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗗𝗼𝗺𝗲𝘀𝘁𝗶𝗰 𝗧𝗲𝗻𝗱𝗲𝗿𝘀 We often talk about China’s push for technological development and self-sufficiency in key strategic sectors. But what does this look like in practice, and how can we tell if it’s working? China has made serious pushes in the past decade to identify their vulnerabilities, find the sectors that are the most critical to their economy, and close-out foreign inputs wherever possible. Through initiatives like Made in China 2025, the Dual Circulation Strategy, and provisions in the 13th, 14th, and 15th Five-Year Plans, the CCP has made its intentions clear. Looking through our datapool on the Chinese economy shows that serious progress is being made in one of the most important ecosystems: Semiconductor Manufacturing Equipment (SME). China now has built a domestic SME industry that wins nine of every ten supplier-named public tenders in the PRC. Although that may seem obvious to some, just five years ago foreign firms accounted for nearly 10% of public tenders, while third-party middlemen represented 18%. Since then, foreign firms have been decimated in the space, directly accounting for only .7% in 2026 and middlemen falling by half to only 8%. What was healthy competition with a clear preference for domestic firms has turned into a complete route for international businesses trying to sell into China’s SME sphere. Chinese firms still face limited competition in some spaces, with ion implantation at 67% domestic, optical lithography at 72%, and defect inspection at 74%. However, the trends are all moving in China’s favor. How did China pull this off, and what does it mean for the ecosystem next? We’re happy to walk you through the data, our analysis, and how we reach our assessments: https://lnkd.in/eCqYxkWg/?utm_campaign=Boost_Post_Engagement_Chinese_Tender_SME&utm_source=linkedin&utm_medium=paid&utm_id=1243626724&hsa_acc=514863577&hsa_cam=1243626724&hsa_grp=905940504&hsa_ad=1617595704&hsa_net=linkedin&hsa_ver=3 #China #Semiconductors #EconomicSecurity #NatSec

Is werken als Data Engineer bij Creates iets voor jou? ➡ Je werkt met Microsoft Fabric, Azure en Databricks in een team dat het vak serieus neemt; ➡ Je bouwt de architectuur die AI-agents voedt, in plaats van een datawarehouse dat over drie jaar in de weg zit ➡ Je vertaalt businessvragen naar autonome acties, met AI-assistentie zoals Claude en Copilot aan je zijde ➡ Je bepaalt de technische richting van dataplatformen voor klanten als MediaMarkt en Provincie Gelderland Meer weten? Check de vacatures 👇https://lnkd.in/ewg4Z8HQ

Join us live to hear from Vitality on how they modernized log management to lower complexity, improve governance, and support AI-powered decision-making.

Everyone is talking about context. Fewer people are showing you how to build it. Four hours on architectural decisions, trade-offs, and what teams run at scale today. Free, November 4.

A failed data quality check should page someone, not sit in a backlog. At CONTEXT 2026, Super Technologies' Nikola Kljajo breaks down the assertions, alerting, and incident.io setup that got them there. Free, virtual, November 4.

Letztes Jahr hörten wir: „Im Norden fehlt uns ein Raum für den offenen Austausch unter Amazon-Vendoren.“ Deshalb richten wir, der ASK und Catapult, bereits zum zweiten Mal das Afterwork-Event im hohen Norden aus, ausschließlich für Marken!

𝗪𝗣𝗖𝟴𝟬 𝗳𝗮𝗹𝗹𝘀 𝘁𝗼 𝗶𝘁𝘀 𝗹𝗼𝘄𝗲𝘀𝘁 𝗽𝗼𝗶𝗻𝘁 𝗮𝘀 𝗯𝘂𝘆𝗲𝗿𝘀 𝗵𝗼𝗹𝗱 𝗯𝗮𝗰𝗸 The DCA WPC80 benchmark fell by 21.3% in week 44, reaching its lowest level since its implementation in late March. Trading activity remains limited. Contributors report that buyers are still holding back, with expectations of further price declines keeping many out of the spot market. WPI90 has been more resilient, declining by 5.9% over the week. This has widened the price gap between WPC80 and WPI90 considerably. At the same time, the gap between WPC80 and MPC has narrowed as protein users have increasingly reformulated products in response to previously high WPC80 prices. What does this mean for buying decisions and production strategies going into 2027? Read the full DCA Market Intelligence analysis: https://lnkd.in/e2pve-tj #DairyProteins #WPC80 #WPI90 #Whey #Protein #ProteinMarket #DairyBenchmarks #DCAMarketIntelligence #SportsNutrition

Put AI usage, cost, risk, and performance in one place with the Cribl AI Observability app

Four myths. One session. No re-architecture.

Stop handling endless stakeholder data requests. Watch these short use case videos to see how Genie empowers business teams to find their own answers.