Rivery

With the new year right around the corner, we’re diving into 2025’s hottest data engineering trends. First up? AI-Assisted Data Pipeline Development. AI isn’t just transforming applications; it’s reinventing the way we build data pipelines themselves. Imagine automating the complex, repetitive work like writing SQL and connecting APIs, freeing data teams to focus on strategy. 📈 Why It Matters In 2025, IDC predicts 40% of new data pipelines will involve some form of AI assistance, shifting resources from routine tasks to innovative projects that drive real impact. 🎥 Catch Rivery CEO Itamar Ben Hemo’s recent chat with Chris Tabb on the LEIT DATA Data Value Show for more on this trend. Keep following our 2025 data engineering trends series—with more insights dropping next week.

🚨 We're one week away 🚨 With Domo’s shift to a credit-based pricing model, now is the perfect time to reassess your data strategy. Join our upcoming masterclass with Stephen Kim, Director of Technology at NuView Analytics, and Ariel Pohoryles, Rivery’s Head of Product Marketing, as they dive into: ➡ The strengths and limitations of the Domo approach ➡ New, scalable alternatives to Domo ➡ Real-world migration insights and practical tips We can't wait to see you then, register below ⬇ https://lnkd.in/eXM6z5XS

Struggling to get a unified view of your ad campaign performance across channels? 🤔 Stop manually aggregating data in spreadsheets and start automating your paid media analytics with Snowflake and Rivery! In our latest quick start guide with Snowflake, you'll learn how to: 🌬 Quickly integrate data from Google Ads, Bing, Facebook, LinkedIn, X, and more into Snowflake  📊 Build a unified data model to analyze campaign metrics and optimize budget allocation  🚀 Create an interactive Snowsight dashboard to visualize cross-channel performance or leverage our prebuilt Sigma Computing dashboard template / your favorite BI tool. Get the step-by-step guide and finally achieve the single source of truth you need to drive better marketing decisions 👇 https://lnkd.in/eBq_JwjY

Is Domo’s “jack-of-all-trades” approach still right for your business? With its new credit-based pricing, many are rethinking their data strategy and exploring alternatives. Join our masterclass to hear from NuView Analytics' Director of Technology, Stephen Kim, and Rivery’s Head of Product Marketing, Ariel Pohoryles. They’ll cover: ➡ The Domo approach & challenges ➡ Modern alternatives ➡ Migration tips from real projects https://lnkd.in/eXM6z5XS Sign up now!

Our team is expanding, and we’re on the hunt for a talented Senior Backend Engineer to join us on our journey! 🚀 Interested? Apply below ⬇ https://rivery.io/careers/

📣 Exciting News! Our CEO, Itamar Ben Hemo, will be going live on the LEIT DATA - Data Value Show with host Chris Tabb! Join us on Monday, November 11th, as they dive into how AI is transforming data workflows through automation. 

ETL can seem spooky, but we’re here to make it a treat! No code? No problem. We make building data pipelines easy, so you won’t be left in the dark. 🌕 Happy Halloween 👻 🎃

Replicating your Salesforce data into Snowflake has never been easier. Our latest video from Nick Nowlan, demonstrates how in just a few clicks you can transform your Salesforce data into a ready-to-use model for analytics tools like Power BI , Tableau, and Sigma Computing. 📊✨ Plus, learn how to effortlessly customize and update your data model using Rivery and SQL to fit your unique needs. 🛠️ Check out our kit that combines data from multiple entities in the Salesforce API, offering a comprehensive data model for Salesforce Sales. Link to kit: https://lnkd.in/ezuXJ7kR https://lnkd.in/eMb8TT9H

Led by CEO Jake Dempsey, Project Broadcast faced the challenge of analyzing vast amounts of product usage data sitting in MongoDB. To tackle this, they partnered with analytics and engineering consultant Datateer and brought on a full-time data scientist to establish a scalable analytics pipeline. After encountering infrastructure hurdles with their initial ELT setup, they turned to Rivery for a comprehensive solution. With Rivery's robust data ingestion and orchestration capabilities, along with dbt Labs Cloud for transformations and Snowflake for data warehousing, Project Broadcast expanded its data sources from one to nine, integrating platforms like Google Ads and HubSpot into Sigma Computing dashboards. The results? Enhanced insights into product usage, improved customer retention, and a Customer Lifetime Value (LTV) increase of $667,000 for their top customers! Jake sums it up best: “Rivery is super powerful in the sense that it allows us to make decisions based on data we couldn’t access, which is something we have never been able to do.” Check out the full story below ⬇ https://lnkd.in/eCbcmiAv

Generative AI depends on high-quality, fast-moving data, but traditional pipelines often fall short. AI-powered data integration is changing that, allowing data teams to scale effortlessly and focus on innovation. Here’s why: 🔍 Automated Connections: No more time lost on manual integration—AI can now auto-generate connectors in minutes. 🤖 Data Democratization: AI makes it easier for data analysts and scientists to build pipelines, cutting down bottlenecks. ⚡ Scalability: Support thousands of data sources with fewer resources, powering a competitive edge. 💡 Better Data, Better Insights: Automation reduces human error, delivering cleaner, more reliable data for AI applications. The latest from our CEO, Itamar Ben Hemo featured in AI Business https://lnkd.in/g5SXDSZ2 #AI #GenerativeAI #DataPipelines