Plumbers of Data Science

Podcast tekijän mukaan Andreas Kretz

Kategoriat:

118 Jaksot

  1. #059 A Look Into The Siemens Mindsphere IoT Platform? | #059

    Julkaistiin: 27.5.2019
  2. #058 Guitars And Data Live Stream

    Julkaistiin: 27.5.2019
  3. #057 Introducing The Plumbers Medium Publication

    Julkaistiin: 27.5.2019
  4. #056 NoSQL Key Value Stores Explained With HBase

    Julkaistiin: 27.5.2019
  5. #055 Data Warehouse vs Data Lake

    Julkaistiin: 27.5.2019
  6. #054 How to Market Yourself in 2019 Student or Professional

    Julkaistiin: 27.5.2019
  7. #053 The Data Science Depression Is Coming? What You Can Do

    Julkaistiin: 27.5.2019
  8. #052 Data Engineering Cookbook Live Stream

    Julkaistiin: 27.5.2019
  9. #051 Five Books To Buy As A Data Engineer & My Book Buying Strategy

    Julkaistiin: 27.5.2019
  10. #050 Data Engineer Scientist or Analyst Which One Is For You?

    Julkaistiin: 27.5.2019
  11. #049 I Found A REAL Use For Blockchain, At Least I thought So

    Julkaistiin: 27.5.2019
  12. #048 From Wannabe Data Scientist To Engineer My Journey

    Julkaistiin: 27.5.2019
  13. #047 The Truth About Data Science Salary For Graduates

    Julkaistiin: 27.5.2019
  14. #046 How To Use GitHub for LaTeX Version Control

    Julkaistiin: 27.5.2019
  15. #045 Why I Use LaTeX to Write Professionally And You Should Too

    Julkaistiin: 7.12.2018
  16. #044 How to Increase Your Chances for Internships or a Full-time Job

    Julkaistiin: 27.11.2018
  17. #041 Agile Development Is Important But Please Don't Do Scrum

    Julkaistiin: 18.10.2018
  18. #040 Huge Big Data News! Cloudera and Hortonworks Merge

    Julkaistiin: 9.10.2018
  19. #039 Is ETL Dead For Data Science and Big Data?

    Julkaistiin: 3.10.2018
  20. #38 Morning advice to beginner Data Scientists and Data Engineers

    Julkaistiin: 27.9.2018

4 / 6

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

Visit the podcast's native language site