Burnout can be very real for data engineers. 💯 Paul Milinkovic, our APAC Regional Director talks about how to strike the right work-life balance, along with other data engineering challenges, on the Data Futurology podcast! Watch or listen here: https://lnkd.in/gr2ZnRiT #DataEngineering #DataPipelines
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AI and cloud infrastructure are driving unprecedented growth in the IT sector. While businesses across industries are investigating the potential of hybrid IT in their digital transformation effort, before anyone begins to build their hybrid cloud model there are some important areas to address: - App stratification to adopt multi-cloud and hybrid IT - The correct architecture to adopt multi-cloud and hybrid IT - Integrated platform to drive cost savings, operational efficiency, and cloud governance Learn more from CIOandLeader: https://lnkd.in/gZf8GmKx #HybridIT #DigitalTransformation
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New to big data integration and getting ready to "drink from a firehose" with all of the information available at Gartner Data & Analytics Summit? We get it. Here's a jumpstart on what you'll need to know! We included: - Characteristics of data - Sources of big data - 5 best-practices for building your data pipelines See you in Orlando? https://lnkd.in/e9aAkuVF #GartnerDA #DataPipelines #DataIntegration
The Fundamentals of Big Data Integration
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Want to learn about how data engineering technologies work together to create a full ecosystem of support for your data needs? The Data Engineering catalog is here for you! Because you're building, running, monitoring, and managing smart data pipelines that exist within an ecosystem of supporting technologies (including StreamSets), it can be really helpful to see how everything all fits together. This free course will help give you the context you need! https://lnkd.in/eKeimnYD #DataPipelines #DataEngineering
The Data Engineering Catalog
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In the 'Before Big Data' era, the force was able to manage data movement easily. Now, one must have the agility and mental fortitude of a Jedi to deal with the complexity involved. ⭐🔫🧑⚔️ Unless you have the right tools and practices on your side, that is. Dig into the 10 best practices for delivering the data to those who need it quickly and accurately: https://bit.ly/3w34y1f #DataIntegration #DigitalTransformation
10 Best Practices for Modern Data Integration
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"Data is air to us in in our business." – Jeffrey Jennings, Senior Data Strategy Architect, talentfulfilled inc. Find out how the smart career platform ensures continuous data delivery for analysis, so they can help students match passions to prospects: https://bit.ly/484DN9V #DataEngineering #DataDriven
Talent Fulfilled: Building a Smart Career Platform with StreamSets
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The four most common data pipeline design patterns: • Ingesting to Cloud Data Lakes and Cloud Storage • Ingesting to Cloud Data Warehouses • Ingesting to Cloud Messaging Services or Event Hubs • Transforming from Raw Data to Conformed Data This handbook will walk you through the process of building each of these critical design patterns: https://lnkd.in/emDVtcsf #DataLake #DataTransformation #DataIntegration
Data Engineer's Handbook
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We're proud to be an Amazon Web Services (AWS) Data & Analytics Competency holder and Advanced Technology Partner! 🙌 This partnership enables you to deliver continuous data under constant change with a single tool for visibility and control of your workloads. Want to see how this works in action? Sign up for a demo today! https://lnkd.in/eQi-jEhD #AWS #CloudNative #DataIntegration
StreamSets for Amazon Web Services
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Share your use cases, tips, and or ideas with other StreamSets community members. Plus, see the most helpful tips and tricks others have shared. 💡 It's all going down on our Community page! https://lnkd.in/gdgP8rxM #DataCommunity #DataIntegration
Share Best Practices for Data Engineering
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It used to be impossible for SAMTRANS to manage and ingest data from various siloes into the cloud. However, "having one unified tool with a graphical UI that lets us easily interact with and manage multiple sources and destinations" has changed that for Executive IT Officer Mehul Kumar and team! 🚊 Dive into the case study to learn how they've turned the data silo train around: https://lnkd.in/eyVpyz2f #DataOps #IT #DataIntegration
SamTrans Customer Story
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