LinkedIn image ad examples

Join queries and scan queries reordered the engines more than compute size did. Filter 191,176 query executions based on your workload.

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.

Can you see your entire electricity network? Accurate asset information helps teams understand where maintenance is needed, identify changes and plan future upgrades. But that information is only useful when it reflects the current network. UNE for ArcGIS helps more authorised employees contribute network updates, supporting a more accurate view of your assets and infrastructure. See how UNE can help you get more from your existing ArcGIS Utility Network.

If you're a quant, quant developer, market data and trading systems engineer, platform architect, data infrastructure leader, or SRE supporting trading environments at banks, hedge funds, brokerages, exchanges, and fintechs, you won't want to miss the free webinar from ClickHouse, in collaborating with Jefferies & Equiti Group.

You’re deep in legacy data, broken pipelines, and surprise schema changes. Now there’s Jev, new open source models, and Airflow Dags with loops??? If you’re feeling overwhelmed, you’re not alone. Join data engineers Tamara and Volker on November 18 for an honest conversation about what’s worth your attention and what you can safely ignore. Here’s what to expect: → Two data engineers trying to decipher the current trends → Where your role is headed (it’s not all bad!) → Resources and code to take home

𝗠𝗶𝗹𝗸 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗴𝗿𝗼𝘄𝘁𝗵 𝘄𝗲𝗮𝗸𝗲𝗻𝗲𝗱 𝗮𝗰𝗿𝗼𝘀𝘀 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗶𝗻 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 Germany recorded the biggest change, with collections down 4.3% year-on-year after rising 3.1% in August. France was almost unchanged, while Poland increased. Year-to-date production is still above 2025 levels in all three countries, mainly because of stronger growth earlier in the year. Milk prices remain under pressure, despite recovering from August. Feed costs have eased in several markets, but lower milk prices continue to put pressure on margins. Read the full DCA Market Intelligence analysis by Santiago Morales Hilarión: https://lnkd.in/ePpn_Jjb #DairyMarkets #MilkProduction #MilkPrices #EuropeanDairy #FarmgateMilk #DCAMarketIntelligence

Vos commerciaux perdent encore du temps sur les mauvais contacts ? Aidez-les à atteindre les décideurs qui comptent vraiment.

Jefferies is one of the world’s leading full-service investment banking and capital markets firms. Their teams run complex statistical and time-series analysis across historical data and embed ClickHouse directly into applications. 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

Book a call to find out how we can help you.

Votre IA est aussi performante que les données qu'elle utilise. Connectez Cognism à vos workflows via MCP pour gagner en efficacité, sans multiplier les outils.

Your agent calls many different tools, BUT some are dangerous! Now you can review a given tool call before any disaster 👇 Airflow just introduced tool-call approvals 🤗 Works on @task.agent and AgentOperator available in Airflow 3.3+. How does it work? Simple: ✅ toolset.approval_required(func) on any toolset, SQLToolset and MCPToolset included ✅ Tool(refund_order, requires_approval=True) inside a FunctionToolset for a single function Let's say we have a refund_order tool. The function gets the tool name and the arguments, and requires human review for refunds over $50 in one line. What happens at the call: 1️⃣ The task pauses in awaiting_input 💡 No worker slot held, like a deferred task 2️⃣ The request shows up on Required Actions 💡 Tool name and arguments, secrets masked Then you: 3️⃣ Approve 💡 The call runs, the agent carries on 4️⃣ Reject 💡 The task doesnt fail. The agent is told your reason and carries on without the call You can specify tool_approval_timeout to define the wait. On timeout, you get fail or deny, and you can even set tool_approval_assigned_users to who can decide 😎 Now you can finally better control your agent! Try it, you gonna love it Enjoy ❤️ P.S: Like and share to help your teammates #airflow #apacheairflow #dataengineer #dataengineering

Tools allein reichen nicht. Entscheidend ist, was sich in Ihrer Organisation wirklich verändert.

Most organizations shipping AI have the same blind spots: fragmented visibility, compliance risk, rising costs, and unpredictable behavior. Learn why Gartner® says AI observability is becoming essential.

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.

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

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

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