StreamSets

Is there a difference between data quality and data drift? ?? Data quality issues are like incorrect entries or duplicates, while data drift involves unexpected changes in data structure, semantics, or infrastructure. Here are a few tips to distinguish between the two and address each effectively: https://bit.ly/3ypr9X8 #DataEngineering #DataScience

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

Did you know? With StreamSets on their side, 1 data engineer 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: https://bit.ly/4aPWsIh #DataEngineering #ETL #DataPipelines

?? Since it's graduation season, it's the perfect time for us to talk about how an agile approach to pipeline management enables the team at talentfulfilled inc. help students match passions to prospects! Instead of hand coding, TalentFulfilled data engineers use StreamSets to build microservices and stream processing. This works to ensure data engineers don’t just do development, but can actively monitor and make continuous improvement changes to data pipelines. More info on how their smart career platform uses savvy DataOps practices to fulfull its mission: https://bit.ly/4ayS54a #DataOps #DataDriven #DataPipelines

7 Ways to tame data drift and supercharge your DataOps game ???? 1?? Cut Custom Code Dependency: Ditch the headaches of troubleshooting, and opt for code-free solutions to keep your pipelines running smoothly. 2?? Streamline Schema: Keep it simple! Minimize specifications to ensure your data flows seamlessly from source to destination. 3?? Full-Fledged Instrumentation: Stay in the loop! Implement end-to-end monitoring for better insights into your pipeline performance. 4?? Untangle Infrastructure: Break free from rigidity! Decouple pipelines from infrastructure for greater flexibility and scalability. 5?? Intent Over Semantics: Think big picture! Design pipelines based on intent rather than getting bogged down in semantics. 6?? Embrace Multi-Platform: Stay agile! Assume your data will be everywhere, and build accordingly for easy portability. 7?? Focus on What Matters: Keep it simple, silly! Abstract away complexities and focus on the essence of your data tasks. #DataEngineering #DataScience #DataOps

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 their success story: https://bit.ly/3QNtD7O #DataEngineering #CloudComputing

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

Or to put it simply... Data Drifts are those sneaky, unexpected changes to your data structure that can wreak havoc on your processes. But fear not! With our help, you can stop fighting data drift and start harnessing its power for your digital transformation. ?? Here's how ?? https://bit.ly/4dNdlWs #DataScience #DataEngineering

So you saw us at Gartner DA 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 pipelines in minutes. Book a demo with our team when you're done! ?? https://bit.ly/3V4PU3G #DataPipelines #automation

What are we up to? ?? Keep up with all our latest platform innovations on our release notes page! We're always making updates that should be helpful to any of our users, so go ahead and check 'em out: https://lnkd.in/g6i4KtQ3 #DataIntegration #DataCommunity