??Happy New Week Data Engineers!
Data Engineering Community
数据基础架构与分析
Providing data engineers a supportive and collaborative platform.
关于我们
Data Engineering Community is a vibrant hub for anyone passionate about data engineering, from aspiring data engineers to seasoned professionals. We provide a supportive and collaborative platform for learning, networking, and staying updated on the latest trends and technologies in data engineering. Connect with like-minded individuals, exchange ideas, and collaborate on projects. Access valuable resources, tutorials, and educational content to enhance your skills and stay ahead in the ever-evolving field of data engineering. Stay informed about upcoming events, webinars, workshops, and industry news. Engage in discussions, ask questions, and contribute to the collective knowledge of our community. Join Data Engineering Community today and be part of a dynamic and thriving community passionate about shaping the future of data engineering.
- 网站
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https://linktr.ee/data_engineering_community
Data Engineering Community的外部链接
- 所属行业
- 数据基础架构与分析
- 规模
- 2-10 人
- 类型
- 教育机构
- 创立
- 2023
- 领域
- Data Engineering、Big Data、Data Analytics、Cloud和Software
Data Engineering Community员工
动态
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????????????-?????????? ???????????????? ?????? ???????? ?????????????????? ??Build your portfolio with these projects: ? Create an ETL pipeline using Python and PostgreSQL. ? Build a cloud-based data warehouse on AWS. ? Stream real-time data using Apache Kafka. ? Analyze large datasets with Apache Spark. ? Projects demonstrate your skills and make your resume stand out. Need guidance on a project? Ask right away #Dataengineering #Dataengineer #Dataengineeringprojects #ETL
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??????????’?? ?????? ???????? ?????? ???? ???????????????? ???????? ?????????????????????? ????????????? Best ways to practice: 1. Build data pipelines using sample datasets. 2. Work on open-source projects or challenges. 3. Explore cloud platforms (AWS and Azure has a free tier!). 4. Participate in coding challenges on platforms like LeetCode. ??Real-world practice helps you master the tools and concepts. Have you built a project or what project are you currently working on? Share it with us #dataengineering #dataengineers
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???????? ???????? ???????? ???? ???????? ???? ???????????? ?? ???????? ????????????????? It depends on your pace and learning method: - Bootcamps: 3–6 months (intensive learning). - Self-study: 6–12 months (part-time). Focus on building skills, completing projects, and practising real-world scenarios. Consistency is key! ??What’s your learning timeline? Let’s discuss. #dataengineering #dataengineeringbootcamps
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? ???????????????? ??????????! ? Don’t miss our upcoming webinar: The Impact of Digital Transformation on Data-Driven Decision Making with Adedamola Onabanjo, BI Manager at Kuda! ?? Date: February 22, 2025 ? Time: 5:00 PM - 7:00 PM WAT ?? Gain insights on data strategies, cloud tech, and real-world transformation stories! ??Save your spot??https://lu.ma/jeobv1ru Let’s explore the future of data together! ??
?? Exciting Webinar Alert! ?? Join us for an insightful webinar: ?? "The Impact of Digital Transformation on Data-Driven Decision Making" In this session, Adedamola Onabanjo, a seasoned Business Intelligence Manager at Kuda, will share valuable insights on how businesses are leveraging data to drive innovation and growth. ?? What’s in it for you? ? Discover how companies are evolving their data strategies with cutting-edge technologies. ? Understand the role of cloud data warehouses like BigQuery, Snowflake, and Redshift in modern data ecosystems. ? Learn from real-world case studies on how digital transformation is impacting business metrics. ? Gain actionable insights on how to enhance data-driven decision-making. ?? Whether you're a data engineer, BI professional, or tech enthusiast, this webinar is packed with insights, real-world applications, and strategies to stay ahead in the evolving digital landscape. ?? Save your spot now! https://lu.ma/jeobv1ru ?? Event Details ?? Date: February 22, 2025 ? Time: 5:00 PM - 7:00 PM WAT Don't miss out! See you there! ??? Feel free to spread the word! ?? #Dataengineering #dataengineer #Digitalimpact #datadrivenbusiness
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?? Exciting Webinar Alert! ?? Join us for an insightful webinar: ?? "The Impact of Digital Transformation on Data-Driven Decision Making" In this session, Adedamola Onabanjo, a seasoned Business Intelligence Manager at Kuda, will share valuable insights on how businesses are leveraging data to drive innovation and growth. ?? What’s in it for you? ? Discover how companies are evolving their data strategies with cutting-edge technologies. ? Understand the role of cloud data warehouses like BigQuery, Snowflake, and Redshift in modern data ecosystems. ? Learn from real-world case studies on how digital transformation is impacting business metrics. ? Gain actionable insights on how to enhance data-driven decision-making. ?? Whether you're a data engineer, BI professional, or tech enthusiast, this webinar is packed with insights, real-world applications, and strategies to stay ahead in the evolving digital landscape. ?? Save your spot now! https://lu.ma/jeobv1ru ?? Event Details ?? Date: February 22, 2025 ? Time: 5:00 PM - 7:00 PM WAT Don't miss out! See you there! ??? Feel free to spread the word! ?? #Dataengineering #dataengineer #Digitalimpact #datadrivenbusiness
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??Transitioning to Data Engineering from Non-Tech ?? Yes, it’s possible. Start with: ? Understand the basics of data engineering, the concepts involved in it and some terminologies. ? Learning SQL for database querying. ? Understanding programming basics (Python is a great choice). ? Exploring online courses on data engineering fundamentals. Many data engineers started from non-tech fields and succeeded—your background can be a strength. ?What’s your current background? Share your transition story. #Dataengineering #Careertransition