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𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟱 🛠️📊 RESOLUTION 1: Finally document that legacy pipeline (because "tribal knowledge" doesn't scale). 📜🤷 RESOLUTION 2: Stop "quick-fixing" ETL jobs at 2 AM. Automation is the real MVP for 2025. 🤖🔧 RESOLUTION 3: Embrace data observability, because logging into six different systems for error tracking is soooo 2024. 👀📈 RESOLUTION 4: Advocate for actual funding when the execs call data and AI "the new oil." (Oil pipelines aren’t built with duct tape, so why are ours?) 🛢️🧰 RESOLUTION 5: Say no to unnecessary meetings that could've been Slack messages. (Time saved = new pipelines built.) 🚫💬 RESOLUTION 6: Empower the team to self-serve data needs without creating chaos. (Data governance FTW!) 🛡️💾 . 𝗔𝗰𝗵𝗶𝗲𝘃𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗱𝗿𝗲𝗮𝗺—𝗶𝘁’𝘀 𝗮 𝗽𝗹𝗮𝗻. At Ascend, we’re here to help you achieve every resolution on your list: ✅ Automation to ensure you’re never debugging ETL jobs at 2 AM again. ✅ Observability so you can see every error before it sees you. ✅ Documentation and governance tools to turn chaos into clarity. ✅ AI tools that give you time back to innovate, not firefight. 𝗟𝗲𝘁’𝘀 𝗺𝗮𝗸𝗲 𝟮𝟬𝟮𝟱 𝘁𝗵𝗲 𝘆𝗲𝗮𝗿 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗴𝗲𝘁 𝗮𝗵𝗲𝗮𝗱. 🚀

𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿’𝘀 𝗧𝘄𝗮𝘀 𝗧𝗵𝗲 𝗡𝗶𝗴𝗵𝘁 𝗕𝗲𝗳𝗼𝗿𝗲 𝗖𝗵𝗿𝗶𝘀𝘁𝗺𝗮𝘀… 🎄✨ As the world sleeps, the data pipelines are humming. 📊 But this year, Otto is stepping up to spread some cheer 🎅—flying through the night sky with a sleigh full of AI-accelerated workflows, automated tasks, and scalability. 🚀✨ . 𝗧𝘄𝗮𝘀 𝘁𝗵𝗲 𝗻𝗶𝗴𝗵𝘁 𝗯𝗲𝗳𝗼𝗿𝗲 𝗖𝗵𝗿𝗶𝘀𝘁𝗺𝗮𝘀, 𝗮𝗻𝗱 𝗮𝗹𝗹 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗰𝗹𝗼𝘂𝗱, 𝗗𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘄𝗼𝗿𝗸𝗲𝗱, 𝗻𝗼 𝘀𝗹𝗲𝗲𝗽 𝗮𝗹𝗹𝗼𝘄𝗲𝗱. 😴 𝗧𝗵𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘄𝗲𝗿𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗲𝗱 𝘄𝗶𝘁𝗵 𝘂𝗽𝗺𝗼𝘀𝘁 𝗰𝗮𝗿𝗲, 𝗜𝗻 𝗵𝗼𝗽𝗲𝘀 𝘁𝗵𝗮𝘁 𝗻𝗼 𝗲𝗿𝗿𝗼𝗿𝘀 𝗼𝗿 𝗯𝘂𝗴𝘀 𝗮𝗽𝗽𝗲𝗮𝗿𝗲𝗱 𝘁𝗵𝗲𝗿𝗲. 𝗪𝗵𝗲𝗻 𝗮𝗹𝗹 𝗼𝗳 𝗮 𝘀𝘂𝗱𝗱𝗲𝗻, 𝘁𝗵𝗲𝗿𝗲 𝗿𝗼𝘀𝗲 𝘀𝘂𝗰𝗵 𝗮 𝗰𝗹𝗮𝘁𝘁𝗲𝗿, 𝗪𝗲 𝗹𝗼𝗴𝗴𝗲𝗱 𝗶𝗻 𝗳𝗮𝘀𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼 𝘀𝗲𝗲 𝘄𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗺𝗮𝘁𝘁𝗲𝗿. 𝗪𝗵𝗼 𝘀𝗵𝗼𝘂𝗹𝗱 𝗮𝗽𝗽𝗲𝗮𝗿 𝗯𝘂𝘁 𝗢𝘁𝘁𝗼 𝗶𝗻 𝗮 𝘀𝗹𝗲𝗶𝗴𝗵, 𝗕𝗿𝗶𝗻𝗴𝗶𝗻𝗴 𝗴𝗶𝗳𝘁𝘀 𝗼𝗳 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗻𝗼 𝗱𝗲𝗹𝗮𝘆! 🎁✨ 𝗛𝗲 𝘄𝗮𝘃𝗲𝗱 𝗳𝗿𝗼𝗺 𝗵𝗶𝘀 𝘀𝗹𝗲𝗶𝗴𝗵 𝗮𝘀 𝗵𝗲 𝗿𝗼𝘀𝗲 𝗼𝘂𝘁 𝗼𝗳 𝘀𝗶𝗴𝗵𝘁, “𝗛𝗮𝗽𝗽𝘆 𝗛𝗼𝗹𝗶𝗱𝗮𝘆𝘀 𝘁𝗼 𝗮𝗹𝗹, 𝗮𝗻𝗱 𝗺𝗮𝘆 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗯𝗲 𝗿𝗶𝗴𝗵𝘁!” 🎁📊 𝗔𝘀 𝘄𝗲 𝘄𝗮𝘃𝗲 𝗴𝗼𝗼𝗱𝗯𝘆𝗲 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗳𝗲𝘀𝘁𝗶𝘃𝗲 𝘀𝗰𝗲𝗻𝗲, 𝗪𝗲 𝗵𝗼𝗽𝗲 𝘆𝗼𝘂𝗿 𝗵𝗼𝗹𝗶𝗱𝗮𝘆 𝗶𝘀 𝗷𝗼𝘆𝗳𝘂𝗹 𝗮𝗻𝗱 𝘀𝗲𝗿𝗲𝗻𝗲. 🎄✨ 𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝗳𝗼𝗿 𝗯𝗲𝗶𝗻𝗴 𝗮 𝗽𝗮𝗿𝘁 𝗼𝗳 𝗼𝘂𝗿 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝘁𝗵𝗶𝘀 𝘆𝗲𝗮𝗿, 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗼 𝗿𝗲𝘀𝘁, 𝗿𝗲𝗹𝗮𝘅𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗵𝗼𝗹𝗶𝗱𝗮𝘆 𝗰𝗵𝗲𝗲𝗿. 🎁✨ 𝗛𝗮𝗽𝗽𝘆 𝗛𝗼𝗹𝗶𝗱𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗮𝗹𝗹 𝗼𝗳 𝘂𝘀 𝗮𝘁 𝗔𝘀𝗰𝗲𝗻𝗱! 🎅🚀

𝗪𝗵𝗼 𝗡𝗲𝗲𝗱𝘀 𝗦𝗮𝗻𝘁𝗮 𝗪𝗵𝗲𝗻 𝗬𝗼𝘂’𝗿𝗲 𝗔 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? 🎅❄️ Being a data engineer in December feels like: ❄️ The never-ending “snowstorm” of incoming ad hoc end of year requests piling up. 🎁 Delivering “gifts” (a.k.a. dashboards) that magically appear under everyone’s tree 🎄 right when they need it. 🧤 Wearing multiple hats (and gloves!) to debug systems and keep everything frost-free. 🍪 Watching your data flows automate seamlessly. It's as satisfying as cookies fresh from the oven. 🍪 But let’s be honest: even amidst the blizzards of deadlines and the chill of outages, we keep going. Why? Because we’re not just building pipelines—we’re building the systems that make innovation possible. And that’s worth braving any winter storm. 🚀 Stay cozy, stay caffeinated! We're almost to 2025! #dataengineering #datapipelines #automation

𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗔𝗱𝘃𝗼𝗰𝗮𝘁𝗲, 𝗘𝗱𝘂𝗰𝗮𝘁𝗼𝗿, 𝗗𝗮𝘁𝗮 𝗡𝗲𝗿𝗱! Ever dreamed of being the bridge between game-changing technology and the developer community? We're hiring a Developer Relations Advocate – an open role for someone passionate about data, software, and community building! 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗱𝗼: 🛠️ Create high-quality technical content (blogs, tutorials, webinars). 👥 Engage and grow a vibrant developer community (forums, Slack, GitHub). 🔎 Provide technical guidance to developers using Ascend. 💡 Be the voice of our community, driving innovation back into our product. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗯𝗿𝗶𝗻𝗴: ✅ Experience in modern data tools (ETL/ELT, data lakes, Snowflake, etc.). ✅ A knack for simplifying technical concepts for a diverse audience. ✅ Passion for solving developer challenges and building relationships. If building an engaged developer community excites you as much as crafting data pipelines, we want to hear from you! Check out the full job description and apply here 👉 https://lnkd.in/d-3ZBxjt Know someone who’d be perfect for this role? Tag them below! 👇

We couldn't agree more with this powerful breakdown on DataOps from Activant Capital. As data teams face mounting challenges—from stalled projects to slow cycles—the need for DevOps-inspired strategies has never been clearer. Key takeaways that hit home for us: ⚡ CI/CD for Data Pipelines: Integrating continuous feedback has game-changing results—faster cycles and an 80% reduction in development time. ✨ Data Products: Moving from project-based chaos to product-centric clarity ensures insights are easily accessible. At Ascend, we've seen firsthand how automating data pipelines and implementing DataOps principles empower teams to break through bottlenecks. Data is valuable only when it's actionable. Let's get it flowing seamlessly. A big thank you to Activant Capital for leading this conversation and to all the innovators pushing DataOps forward.

𝗧𝗵𝗶𝗻𝗴𝘀 𝗜 𝗻𝗲𝘃𝗲𝗿 𝗸𝗻𝗲𝘄 𝗜’𝗱 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 1️⃣ A DETECTIVE: Is it a schema mismatch? A rogue null value? Or something Kafka doesn't even want to talk about? 🕵️♀️ 2️⃣ A TRANSLATOR: Explaining to the business team that "real-time" doesn’t mean “instantaneous magic.” 🎩✨ 3️⃣ A THERAPIST: Talking SQL scripts off the ledge after three failed joins. "It’s okay, we’ll debug together." 🤗 4️⃣ A FORTUNE TELLER: Predicting how many stakeholders will “suddenly” need data yesterday. 🔮 . 𝗕𝗲𝗶𝗻𝗴 𝗮 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗺𝗲𝗮𝗻𝘀 embracing the chaos – and loving it. Why? Because every pipeline delivered gets us one step closer to decisions that matter. 🚀 𝗔𝘁 𝗔𝘀𝗰𝗲𝗻𝗱, 𝘄𝗲 𝗴𝗲𝘁 𝗶𝘁. We’ve built a unified data engineering platform to automate your pipelines and eliminate the duct tape. So, while we can’t stop the marketing team from requesting a "real time" dashboard they'll only check once a month, we can help you build and deliver your data faster so you look like a superhero too. 🦸 #dataengineering #datapipelines #datateam

𝗜 𝗴𝗼𝘁 𝟵𝟵 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗮𝗻𝗱 𝘁𝗵𝗮𝘁 𝗽𝗿𝗼𝗱 𝗯𝘂𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗲𝗹𝗲𝗮𝘀𝗲 𝗰𝘆𝗰𝗹𝗲 𝗶𝘀 𝗮𝗹𝗹 𝗼𝗳 𝗲𝗺. 🐛 You’re all set for a smooth release, and then BAM! That one sneaky bug that skipped all the tests shows up uninvited, and now you’re: 👉 Rolling back deployments faster than you roll out of bed. 😴 👉 Relying on logs that might as well be hieroglyphs. 🪶 👉 Wishing you'd invested in more observability, or a time machine. 🔍 𝗧𝗵𝗲 𝗹𝗶𝗳𝗲 𝗼𝗳 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀, 𝗿𝗶𝗴𝗵𝘁? 😅 Dealing with last-minute bugs is never fun, but you can make your release cycle more resilient with a few key practices. Here’s how: 1️⃣ Invest in DataOps and CI/CD Pipelines Streamline your workflows with robust CI/CD pipelines and DataOps practices. Automation ensures consistent deployments and catches issues earlier in the process. 2️⃣ Ensure Clear Logs and Error Messages Logs shouldn’t look like riddles. Make sure your logging framework provides actionable insights and helpful error messages to speed up debugging. 3️⃣ Automate Testing and Monitoring Use automation to handle regression tests, monitor systems in real-time, and detect anomalies before they snowball into bigger problems. 4️⃣ Foster Collaboration Across Teams Create a culture of collaboration where engineers, data teams, and operations share visibility and responsibility for production quality. . 𝗔𝘁 𝗔𝘀𝗰𝗲𝗻𝗱, 𝘄𝗲 𝗴𝗲𝘁 𝗶𝘁. Debugging under pressure can feel overwhelming. That’s why we’ve built a platform that automates data flows, keeps pipelines reliable, provides key observability tools, and helps you focus on delivering value—not just squashing bugs. #DataOps #DataEngineering #Automation

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝗮 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘀𝗮𝘆𝘀, "𝗧𝗵𝗶𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗲𝗮𝘀𝘆"? 😅 It’s the beginning of a wild ride, folks! Here’s how it often goes: 1️⃣ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗞𝗶𝗰𝗸𝗼𝗳𝗳: "Just a simple pipeline," they said. One hour tops! 🕒 2️⃣ 𝗧𝗵𝗲 𝗨𝗻𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝗛𝗶𝘁𝘀: Realizing that the data source uses a schema that hasn’t been updated since 2010. Hello, legacy code! 😅 3️⃣ 𝗧𝗵𝗲 𝗖𝗵𝗮𝗶𝗻 𝗥𝗲𝗮𝗰𝘁𝗶𝗼𝗻: One "quick fix" leads to cascading changes across three teams, two time zones, and one unhappy stakeholder. 🌍 4️⃣ 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: "Why does this fail only at 2 AM when I’m asleep?!" 😴 5️⃣ 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗖𝗵𝗲𝗰𝗸: It's now two weeks later, and the "quick job" has turned into a full-blown saga. 📚 𝗕𝗲𝗶𝗻𝗴 𝗮 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗡𝗲𝘃𝗲𝗿 𝗮 𝗱𝘂𝗹𝗹 𝗺𝗼𝗺𝗲𝗻𝘁. . 𝗧𝗵𝗿𝗲𝗲 𝗧𝗶𝗽𝘀 𝗳𝗼𝗿 𝗠𝗮𝗸𝗶𝗻𝗴 "𝗘𝗮𝘀𝘆" 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗘𝗮𝘀𝗶𝗲𝗿: 1️⃣ 𝗦𝗧𝗔𝗥𝗧 𝗪𝗜𝗧𝗛 𝗧𝗛𝗘 𝗦𝗖𝗛𝗘𝗠𝗔: Validate your data source schema upfront and plan for future-proofing. It’ll save you from major headaches later. 📋 2️⃣ 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗘 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨 𝗖𝗔𝗡: Monitoring, testing, and deployment pipelines should all leverage automation to catch issues before they snowball. 🤖 3️⃣ 𝗗𝗢𝗖𝗨𝗠𝗘𝗡𝗧 𝗘𝗩𝗘𝗥𝗬𝗧𝗛𝗜𝗡𝗚: Today's "quick fix" could be tomorrow's big blocker if it isn’t well-documented. Your future self will thank you. 🖋️ . 𝗛𝗼𝘄 𝗔𝘀𝗰𝗲𝗻𝗱 𝗛𝗲𝗹𝗽𝘀 🚀 At Ascend, we know the pain of duct-taped data pipelines and the 2 AM debugging blues. That’s why we’ve built a unified platform that automates your data workflows and keeps everything running smoothly—so you can focus on delivering value instead of battling chaos. Because "this will be easy" should actually be easy. #dataengineering #datapipelines #automation #dataops

𝗧𝗵𝗲 𝗦𝗲𝗰𝗿𝗲𝘁 𝗟𝗶𝗳𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 🎩🕵️ You think your data pipeline is working tirelessly, fetching, transforming, and delivering data like a model employee. But what happens when you’re not watching? 𝗧𝗵𝗲 𝗺𝘆𝘀𝘁𝗲𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗺𝗶𝘀𝗰𝗵𝗶𝗲𝗳 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: 🕵️ 𝗦𝗘𝗖𝗥𝗘𝗧 𝗗𝗢𝗨𝗕𝗟𝗘-𝗔𝗚𝗘𝗡𝗧 𝗠𝗢𝗗𝗘 "Everything is fine," says your monitoring tool. But at 2 AM, the pipeline decides to break down, blaming a mysterious schema change no one remembers making. 🤷 ⚠️ 𝗧𝗛𝗘 𝗥𝗘𝗕𝗘𝗟𝗟𝗜𝗢𝗨𝗦 𝗝𝗢𝗕 That one ETL job you scheduled daily? It decides today is the day to run twice. Or not at all. And suddenly, your reports are throwing more errors than a Friday deploy gone wrong. 😵💫 🎭 𝗗𝗔𝗧𝗔 𝗗𝗘𝗩𝗜𝗟 𝗜𝗡 𝗗𝗜𝗦𝗚𝗨𝗜𝗦𝗘 Duplicated records here, missing rows there—it's the pipeline moonlighting as a trickster, convincing everyone that 1 + 1 = 3. 😈 👀 𝗧𝗛𝗘 𝗜𝗡𝗩𝗜𝗦𝗜𝗕𝗟𝗘 𝗖𝗛𝗔𝗡𝗚𝗘𝗦 The data format evolves overnight. JSON turns into XML, timestamps vanish, and null values come out to play. "It worked yesterday," becomes the team’s new mantra. 🙃 . 𝗕𝗨𝗧 𝗪𝗘 𝗟𝗢𝗩𝗘 𝗧𝗛𝗘𝗠 𝗔𝗡𝗬𝗪𝗔𝗬! ❤️ Despite their antics, data pipelines are the lifeline of modern businesses. With the right tools and observability, you can tame even the most unruly pipelines. 𝗔𝘁 𝗔𝘀𝗰𝗲𝗻𝗱, we’re on a mission to ensure you don’t lose sleep over rogue pipelines. Our platform automates the chaos so you can focus on what really matters—using data to drive decisions. 🚀 Let’s talk about how to turn the chaos into calm. 👉 www.ascend.io/demo #dataengineering #datapipelines #automation #dataops

𝗔 𝗛𝗲𝗮𝗱 𝗦𝘁𝗮𝗿𝘁 𝗳𝗼𝗿 𝟮𝟬𝟮𝟱: 𝗬𝗼𝘂𝗿 (easy) 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝗧𝗼-𝗗𝗼 𝗟𝗶𝘀𝘁 🎯 December is here, and it’s so very tempting to push everything to January... But trust us—your future self will thank you for tackling these quick wins now: 🎉 Celebrate 2024 Wins as a Team A quick team shoutout (virtual or IRL) goes a long way. Appreciation today sets the tone for an energized 2025. 📋 Align on Key Priorities for 2025 Take 25 minutes to hash out your Q1 must-dos. Fewer surprises in January, more time for cocoa now. 🍫 📆 Set Calendar Blocks for 2025 Planning Secure your “do not disturb” zones before the rush. Bonus: fend off the inevitable last-minute meeting requests. 🚫📅 ✉️ Send Thank-You Notes to Stakeholders A simple “We appreciate you” now means smoother inbox replies come Q1. 🛋️ Relax and Enjoy the Holidays Yes, seriously. Step away from the terminal. Recharge. Your January self will thank you. 🌟 𝗣𝗿𝗼 𝗧𝗶𝗽: Start 2025 with fewer "January problems" and more "January possibilities." Let's wrap up this year strong! 💪