Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Taye Johnson. Taye is an LGBTQ+ advocate and tech educator, nicknamed the "Quiet Storm", data analytics manager at eidolon communications and serving on CUNY Tech Prep's Advisory Board.

In this episode, we got to know more about Taye's view on data culture and why pursuing a career in data is still not a lost cause.

If you want to get to know our guest, even more, you can follow Taye here: 
https://www.linkedin.com/in/taye/

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• Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6
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• You can follow us on social media 
  • Facebook: https://www.facebook.com/whathedata/
  • Linkedin - https://www.linkedin.com/company/what-the-data-podcast
• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.

Have you heard about the power of PySpark? 
Jonathan Rioux joining Michael and Lior for an amazing episode talking about the power of Spark, and Python as well as why he decided to write an entire book about PySpark. 

In today’s episode, we have Jonathan Rioux, he leads the data science operations for EPAM Canada and writes a book about large-scale data analysis.

 Michael and I talked with Jonathan about setting your spark cluster using python, what should you know about it, why he started writing his book.

Michael went into the technical details as he loves, and I stayed focus on the product, enjoy this episode!

You have an extra discount on all books using podwtd20 on https://www.manning.com/
Wish to talk with Jonathan?
Linkedin: https://www.linkedin.com/in/jonathanrx/
Twitter: https://twitter.com/lejonesberg
Link to Jonathan's book: https://www.manning.com/books/data-analysis-with-python-and-pyspark

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• Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6
• Join our mailing list - https://bit.ly/2MXfK8Y
• You can follow us on social media 
  • Facebook: https://www.facebook.com/whathedata/
  • Linkedin - https://www.linkedin.com/company/what-the-data-podcast
• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.

Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Jean de Bressy.
After growing as a product manager and marketeer at trivago, Jean moved to Zalando three years ago to work on expanding performance marketing activities through automation. A very keen reader, he now focuses on making the most of the available data in-house to optimize conversions.

In this episode, we got to know more about Jean's view on data-driven decisions, his experience with data while working for Zalando, and his view on the future of marketing automation.

If you want to get to know our guest, even more, you can follow Jean here: 
https://www.linkedin.com/in/jeandebressy/

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• Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8
• Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6
• Join our mailing list - https://bit.ly/2MXfK8Y
• You can follow us on social media 
  • Facebook: https://www.facebook.com/whathedata/
  • Linkedin - https://www.linkedin.com/company/what-the-data-podcast
• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.

Just a quick update that we be back soon with new episodes 

Marcello Is a senior software engineer at Tundra.com, Author of "Algorithms and Data Structures in Action", His work and interests focus on graphs, optimization algorithms, genetic algorithms, machine learning, and quantum computing.
What have talked with him about:

• Why do you go by "Software Engineer" instead of something with more buzzwords?
• How to have better cooperation between business, engineering, and analytics?
• What is the difference between a model and an algorithm? How are they related? Which job profiles are connected to them?
• Will the areas of data science, analytics, and engineering converge in the future or become even more specialized?

If you wish to learn more, Marcello was kind to generate a unique discount with his publishing house Manning Publications giving you a 35% discount code (good for all products in all formats): podwtd20

You can refer to this link: http://mng.bz/V8Dr

Marcello was also kind to share a free book for a lucky listener. Here is one free eBook code good for a copy of Advanced Algorithms and Data Structures for a lucky listener
You can find him here: https://www.linkedin.com/in/marcellolarocca/

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Jakub is a Mobile Growth & Pricing Optimization specialist with large experience in dating apps, he loves coriander and lives in the Czech Republic, and we couldn't have him in a better time talking about dating apps, scammers, and what you actually should look at, and it's not what you most likely think.

Tune in to this amazing episode where we asking, based on the data, does it actually make sense for you to start developing your own dating app?

• What KPIs should dating apps look at
• What scammers do to your product
• How can you work with Facebook and Google and what alternatives you have?

This and much more in our Be aware of scammers in your dating app! the episode with our amazing guest Jakub.
You can find Jakub here: https://www.linkedin.com/in/jakubchour/

Join our Mailing List: https://bit.ly/2MXfK8Y
As always if you like it please subscribe
You can follow us on Facebook: https://www.facebook.com/whathedata/
Linkedin: https://www.linkedin.com/company/what-the-data-podcast
Or even send us a voice question: http://bit.ly/3rj5VBY

Juliana Jackson, also known as the CLV lady, is a serial intrapreneur. she has been working with Sales, Marketing, and Product teams for the last ten years helping them approach Customer Centricity as a mission rather than just a growth strategy. She loved E-Commerce, and her focus is to help merchants (re)discover the power of analyzing, understanding and using first-party data. 
In this episode, we talked about
What is first-party data?
What KPIs you need to understand your retention?
What is the actually calculation of CLV

And much more, we hope you going to enjoy this one.

Thomas an independent consultant, work with apps and almost only with non-gaming apps specialized in the subscription business models.  During the interview, we  asked him:

• Where do you see the most issues with startup's data? ✨
• How to spot data issues?✨
• What data stack can be used by companies?✨
• Which KPIs should not be used any longer?✨
• The future of the industry going forward✨

Thomas is sending around a great mailing list to anyone doing marketing in the app industry and you can find it here: https://madv.substack.com/

Follow us on Facebook: https://www.facebook.com/whathedata/
Follow us on Linkedin: https://www.linkedin.com/company/what-the-data-podcast
Wish to send us voice questions: http://bit.ly/3rj5VBY

In episode 12 and the last one for 2020, Michael and Lior talk about collecting data, what is an API, why do you need to use it and what point is it relevant for you to start thinking about automating your data collection.

✨ WHAT is an API?

✨ WHAT is the right time to start using APIs to collect data?

✨ Knowledge is a key ingredient in getting your data

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Wish to send us voice questions: http://bit.ly/3rj5VBY

See you next year!

Performance managers should not only manage campaigns, they need to work with data, a lot of data, and it should be the company culture. In this episode, Lior Barak talks with the queen of Google campaigns, Maria Brigida Deleonardis on her path to becoming data centric.
Bri talked about the course she is taking "Data Analysis for Management" and why she thinks every performance manager should take it.
More in this episode: 

• Moving away from performance to data?
• Becoming a better marketer
• Working with data is adding another layer on top
• Analyst need to understand the management
• why should we hire you, marketing analyst