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Technology alone doesn't create operational strength. Assess how well your people, processes, and decision workflows work together to improve resilience before the next high-impact weather event.

Your data lives everywhere. Domo helps bring it together. Connect data from your CRM, ERP, cloud platforms, and more, with the security and governance your business needs.

What if your dashboards could do more than show you what happened? Turn your data into interactive apps that automate workflows, drive decisions, and help teams take action.

Move beyond reactive troubleshooting. Learn how to approach SLOs, reliability, and production debugging with insights from Liz Fong-Jones, Honeycomb Technical Fellow and an SRE with over 20 years of experience. Get the second edition free.

A dropped Unity Catalog managed table can sit in a recovery period of up to 30 days, and storage billing continues the whole time. Download this guide and learn: • How to configure the recovery period at the catalog or schema level • What actually happens to the files once that window ends • When a shorter recovery period makes sense for temporary tables

If I were the CEO of a mid-sized company and wanted to step away from the week-to-week running of the business without losing track of anything, I'd snap my fingers and build an operating system that does three things for me: ✅ A weekly brief showing how every team is tracking against plan and why, drawing on what was said in sales calls and Slack along with the numbers. ✅ An alert the moment something drifts off course, with the likely cause already diagnosed before anyone has to escalate it. ✅ An answer to any question I have about the business, grounded in both the data and the context, without pulling anyone into a meeting. This is how I'd build it, with each step depending on the one before it: 1️⃣ Get full visibility: connect every data source across the business, from the CRM and finance system to marketing, product and support, and pull in the context behind the numbers, including documented processes, sales call and meeting transcripts, Slack and project management. 2️⃣ Make everything measurable: build a semantic layer so every metric means the same thing to everyone and can be traced back to its source, define the metrics that matter for every team, and cascade goals down the entire org so every team and person has a number that ladders up to the company's. 3️⃣ Build a prediction model: map how those metrics drive each other, so anyone on the team can see which levers move revenue and profit and test how a change would affect them before making it. 4️⃣ Run autonomously: build skills that analyze every part of the business against its goals using both the numbers and the context, and run them on a schedule so the analysis happens every week on its own, with alerts that fire the moment something drifts. Execute as many activities as possible with AI that either initiates or facilitates work for the team, or does it completely autonomously. Oh wait, I don't need to snap my fingers. Everything on this list can already be built in Databox. Seriously, though. This is the operating system we've built to run Databox for 2027. Our software does all of this, and anyone can try it, for free, I might add: https://databox.com/signup But we're also rolling up our sleeves to help up to 10 companies build it, hands-on, pulling in our own people from across the business through our custom services (databox.com/services) and specialized partners, when needed. The 1st of 10 signed on this week. If it's something you want for your company, you know how to reach me. ⬇️ ⬇️ ⬇️

Fastest-growing teams are already handing analysis and reporting to AI, on data they trust. Learn how to do the same in practical 30-minute sessions. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BAgency%255D&utm_source=linkedin&utm_medium=paid&utm_id=731734533&hsa_acc=513446957&hsa_cam=731734533&hsa_grp=361908443&hsa_ad=1584522183&hsa_net=linkedin&hsa_ver=3

Whether you're just getting started or going deep, ClickHouse Academy has a free learning path for you. Self-paced, expert-built, no cost.

That 1.5s request? It was a span the whole time.

Point-to-point pipelines don’t scale. Learn how Kafka decouples telemetry from the tools that consume it.

Telemetry volumes keep growing. See how platform teams stream it with Kafka instead of shipping it point to point.

It only takes one gap in your protection for recent transactions to be at risk. With StandbyMP Zero Data Loss, continuous redo streaming runs alongside archive log shipping to reduce that exposure to sub-second levels.

Ekai builds your semantic layer for you: governed models plus production dbt, verified against your warehouse, in hours instead of months. See it in 30 minutes and we’ll send you AirPods. Fit or not. 🎧

💸 Do you know where your AI tokens actually go? AI in production is billed in tokens, and agentic tasks can consume 5 to 30 times more than a standard chatbot exchange. Hidden reasoning, bloated context, and looping agents drive up costs that finance sees on the invoice but no one can explain. In this whitepaper, discover how AI observability makes token spend visible and controllable. You'll learn the six drivers that quietly inflate AI bills, five proven levers to cut costs without sacrificing output quality, and an ROI model you can adapt to your own numbers. Most teams can reduce AI spend by 30 to 50% once they can finally measure it.

매일 아침 뉴스를 찾던 시간을 AI에 맡겨보세요. AISURFER는 우리 회사, 경쟁사, 업계 뉴스를 AI가 대신 찾아 한곳에 모아드립니다. 문의를 남겨주시면 도입 방법을 빠르게 안내해 드립니다.

How much time would you and your HR team get back if onboarding and your ticket queue ran themselves? Find out live on Oct 22. Join this event, and you'll learn how to build an agent that: - Ramps new hires faster - Clears transactional tasks off your plate - Holds onto knowledge instead of losing it You can come with your toughest People problem, and leave with a specialized agent to share with your entire team. Register now to experience multiplayer AI on your own data.

𝗞𝗼𝘀𝘁𝗲𝗻𝗳𝗿𝗲𝗶𝗲𝘀 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗪𝗶𝗲 𝗸ö𝗻𝗻𝗲𝗻 𝗦𝘁𝗮𝗱𝘁𝘄𝗲𝗿𝗸𝗲 𝘂𝗻𝗱 𝗩𝗲𝗿𝘀𝗼𝗿𝗴𝗲𝗿 𝗺𝗲𝗵𝗿 𝗮𝘂𝘀 𝗶𝗵𝗿𝗲𝗻 𝗗𝗮𝘁𝗲𝗻 𝗺𝗲𝗵𝗿 𝗺𝗮𝗰𝗵𝗲𝗻 – 𝘁𝗿𝗼𝘁𝘇 𝗸𝗻𝗮𝗽𝗽𝗲𝗿 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗿𝗲𝘀𝘀𝗼𝘂𝗿𝗰𝗲𝗻? Stadtwerke und Versorger haben heute mehr Daten zur Verfügung als je zuvor, um die richtigen strategischen und operativen Entscheidungen zu treffen – und gleichzeitig immer weniger Experten, um sie auszuwerten. Wie lässt sich dieses Dilemma lösen? Was braucht es, damit Daten besser eingesetzt werden können, sowohl im Tagesgeschäft als auch in der langfristigen Planung? Im kostenfreien Webinar 𝗦𝘁𝗮𝗱𝘁𝘄𝗲𝗿𝗸𝗲 𝗹𝗶𝘃𝗲: 𝗪𝗮𝘀 𝗳𝘂𝗻𝗸𝘁𝗶𝗼𝗻𝗶𝗲𝗿𝘁, 𝘄𝗼 𝗱𝗶𝗲 𝗛ü𝗿𝗱𝗲𝗻 𝗹𝗶𝗲𝗴𝗲𝗻 𝘂𝗻𝗱 𝘄𝗲𝗹𝗰𝗵𝗲 𝗘𝗿𝗳𝗼𝗹𝗴𝗲 𝗺ö𝗴𝗹𝗶𝗰𝗵 𝘀𝗶𝗻𝗱 geben Torsten Brauer, Leiter Business Development bei Disy, und Florian Schwarz, Leiter Netzdatenmanagement bei der Stadtwerke Karlsruhe Netzservice GmbH, einen offenen Einblick in die Praxis. 𝗧𝗲𝗿𝗺𝗶𝗻: 𝟮𝟳. 𝗢𝗸𝘁𝗼𝗯𝗲𝗿 | 𝟭𝟰:𝟬𝟬 𝗯𝗶𝘀 𝟭𝟱:𝟬𝟬 𝗨𝗵𝗿 Im Webinar zeigen wir: • wie Stadtwerke und Versorger ihre vorhandenen Daten einfacher und direkt für schnelle Auswertungen und Berichte nutzen können • versorgungsrelevante Anwendungsfälle und den Mehrwert einer plattformbasierten Datenanalyse • wo Hürden liegen und die entstandenen Erkenntnisse 𝗔𝘀𝗸 𝗺𝗲 𝗔𝗻𝘆𝘁𝗵𝗶𝗻𝗴: Im Anschluss beantwortet Florian Schwarz Ihre Fragen direkt aus der Praxis. Fragen können gerne schon vorab eingereicht werden. Jetzt kostenfrei anmelden: https://lnkd.in/gu9xYsYS/?utm_campaign=Stadtwerke2026-Website-Conversion-StadtwerkeLandingpage-CoreTargets&utm_source=linkedin&utm_medium=paid&utm_id=932604056&hsa_acc=509002823&hsa_cam=932604056&hsa_grp=912126246&hsa_ad=1642039116&hsa_net=linkedin&hsa_ver=3

We looked at how 52,771 Snowflake companies get data into Snowflake. → 12.7% run Fivetran → 7.9% run Azure Data Factory → 6.5% run Informatica → 2.7% run AWS Glue → 2.7% run Airbyte → 1.5% run Matillion Very surprised to not see folks like Estuary or Streamkap up there! Source: Crustdata (YC F24)

Trace-connected, so you can see the wood from the trees.

We've normalized running two expensive warehouses before we've normalized running one expensive warehouse and one cheap one. 54.5% of Snowflake companies also use Databricks. Just 2.3% use DuckDB alongside Snowflake. So the barrier clearly isn’t “we don’t want another execution engine.” The interesting question is why it’s still unusual to route the right workloads somewhere dramatically cheaper. Source: Crustdata (YC F24)

We’re heading to Tallinn Data Week in Estonia on Thursday, 22 October (Also a satellite event!) Most data projects don’t fail because of the tech. They fail because the business context never makes it into the data. In three hours we’ll show a different approach: → Why human-led, AI-assisted context engineering beats handing everything to AI coding agents → A live demo of Ekai going from raw data to AI agents in hours instead of months → Automated business logic migration from Qlik Sense to Snowflake, with Infotrust → An instructor-led walkthrough, plus trial access so you can take Ekai home with you Tero Miikki, our Chief Commercial Officer & Global Partnership Lead, and Hussnain Ahmed, our Co-founder & Chief AI Officer, will be there. If you’re attending Tallinn Data Week, or you’ll be in Tallinn that day, send them a message. They’d love to grab a coffee and hear what you’re working on. 📍 ibis Tallinn Center, Tallinn, Estonia 🗓️ Thursday, 22 October · 10:00–13:00 🎟️ Free. Coffee and light snacks provided. Register: https://lnkd.in/dHBXgquE #TallinnDataWeek #DataProducts #Snowflake #AI #SemanticLayer

Tighter RPO doesn’t have to mean moving to Oracle Enterprise Edition. StandbyMP Zero Data Loss brings sub-second data protection to Oracle Standard Edition, helping you protect more of your latest transactions while staying on SE.

Three live sessions. One registration. Your AI workflows, production-ready. The Agentic Data Engineering Demo Dive Series covers prompts, skills, and playbooks with built-in agents, using the Coalesce MCPs on live data. You don't need to be a Coalesce customer to apply what you learn. Oct. 20 to Nov. 10, 10 a.m. CET. Can't make one live? You'll get the recordings.

L'IA sait raisonner. Pourtant, elle hallucine encore dès qu'elle ne comprend pas le contexte des données qu'elle utilise. La raison ? Il ne lui manque pas des données, mais du contexte. Vos collaborateurs expérimentés savent quelle donnée utiliser, quand, et avec quelles précautions. Vos agents IA, eux, partent de zéro.