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Find out why StreamSets became "a de facto ingredient" in the #DataOps process of one of the largest corporate networks in existence. bit.ly/4aM86Vc

Our team had a fantastic time at the #DataInnovationSummit last week! Giuseppe Mura hosted a packed session on how modern data integration is the key to scaleable AI, and we met so many awesome people at our booth! See us next at Gartner DA in London: bit.ly/46RRMAm

Everyone starts their data journey sometime...If you're new to the #DataCommunity, we'd love to share a bit of #DataPipeline 101 from the folks at McKinsey & Company! ⬇️

Gain a solid understanding of the StreamSets #DataOps Platform and the various components in the solution ecosystem so you can become a certified Black Belt! 🗝 Ready...Set...Learn! bit.ly/49RWoXP

꩜😵‍💫 You want to help someone in the #Data community ꩜😵‍💫 ꩜😵‍💫 You want to earn badges on our Community page ꩜😵‍💫 Did the hypnotism work?! If so, head here: bit.ly/3xOXbLN You can earn badges like "Eager to help" for sharing your knowledge!

We'll just keep it simple and leave this right here... #MayTheFourth #StarWars

Who else is excited to be at the #GartnerDA event in London this week? 🙋🏾‍♀️🙋🏽🙋🏻‍♂️ We can't wait to dive into all things #DataIntegration, analytics, and AI with the #DataCommunity in person. More event info here ⬇️ gtnr.it/2BvDsRf

Our co-founders wrote a white paper that breaks down how modern #DataIntegration optimizes data flows to deliver high-quality, trustworthy data to #AI models. Get your copy: bit.ly/4a9LjRW

Automatic updates and no rewrites for your #DataPipelines results in an 80% reduction in maintenance time. 🙌 We're here to help you achieve that, in case you were wondering. 😉

"In today's #DataDriven world, it is not enough to just monitor data. Organizations need other ways to achieve data #observability and transparency to stay competitive and make informed business decisions." More from our VP Products in Forbes Technology Council ⬇️ bit.ly/4duQYoQ

🤯 Nearly 87% of #DigitalTransformation programs don't meet their original expectations. Our CEO, girish pancha, shares a few guidelines for realizing the full potential of this transformative journey in Solutions Review ⬇️ bit.ly/3UYpeBC

So you saw us at #GartnerDA but couldn't grab a demo? No stress! Check out our self-guided demos and see how EASY it is to start running your first #DataPipelines in minutes. Book a demo with our team when you're done! 👉 bit.ly/3V4PU3G

Or to put it simply... Data Drifts are those sneaky, unexpected changes to your #DataPipeline that can wreak havoc on your processes. But fear not! Here's how you can stop fighting it and start harnessing its power for your #DigitalTransformation. 💥 ➡️ bit.ly/4dNdlWs

Multiply my team's productivity by 10x? Yes, please! 🙋‍♀️ 🙋‍♂️ With StreamSets Platform, say goodbye to tedious #DataPipeline design and hello to data delivery at enterprise scale. 🙌

Struggling to democratize your data? 😩 By migrating to the #cloud with StreamSets and centralizing its data, BT Group's Openreach addressed the same challenge — making its #data accessible to everyone and driving real business results. Here's how 👇 bit.ly/3QNtD7O

Revolutionize your #DataEngineering game with these 7 tips: 1️⃣ Cut custom code headaches 2️⃣ Simplify schema 3️⃣ Monitor pipelines fully 4️⃣ Decouple infrastructure 5️⃣ Design for intent 6️⃣ Be platform agnostic 7️⃣ Focus on essence, not intricacies!

🎓 Since it's graduation season, it's the perfect time for us to shout out how an agile approach to #DataPipeline management enables the team at TalentFulfilled Inc. help students match passions to prospects! bit.ly/4ayS54a

Did you know? With StreamSets on their side, 1 #DataEngineer is able to enable 10s of ETL developers to serve 100s of analysts! 🤯 Want to know more about how our platform could 10x your data team’s #productivity? Explore here 👇 bit.ly/4aPWsIh

Tired of babysitting your #DataPipelines? Queue low-maintenance pipelines with StreamSets! Our platform takes the hassle out of data management so you can focus on what truly matters: unlocking insights and driving #innovation!

Data quality vs. data drift: one is about incorrect entries, and the other involves unexpected changes in data structure or semantics. Here are a few tips to distinguish between the two so you can address each effectively: bit.ly/3ypr9X8