This week we welcome Joseph Arriola. He is the Data Engineering and AI lead at Yalo Chat and he is also the host of Big Data Guatemala Meetup group. Joseph is passionate about technology related to the power of the data . His experience as an engineer started in development in different languages and he later found interest in how technology met business with data, so he migrated to the world of analytics.

Joseph chats with us about chatbots, Tensorflow models, and the handoff between his engineering team and the data science team. Follow us for more great data engineering conversations.

Sources And Destinations Podcast Episode #4 Joseph Arriola

Putting garbage in gets you garbage out. No one understands this better than developers. No one understands developers like Lorna Mitchell.

This week we welcome author, developer advocate, and technical writing maestro Lorna Mitchell. She is the Lead Developer Advocate at Aiven. Lorna has also authored several books on PHP, Git Fundamentals for Web Developers, and DZone Refcard on Redis. 

In her own words… She is a “technology addict and incurable blogger.

Find out more about Lorna Mitchell 
- https://twitter.com/lornajane?s=20
- https://aiven.io/

Sources And Destinations Podcast Episode #5 Lorna Mitchell

Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.

This episode is brought to you by Pathway, the reactive data processing framework (www.pathway.com/?from=superdatascience), and by epic LinkedIn Learning instructor Keith McCormick(https://linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Josh's 'Data Engineering for Machine Learning' course [06:50]
• Contextual bandits [10:52]
• Data quality and monitoring [16:45]
• The “infinite loop of sadness” in data product development [25:12]
• Josh’s definition of a data scientist [30:02]
• Josh's role at WeaveGrid [37:36]
• Management-Track vs Independent Contributor [48:47]
• Josh's work on the Covid pandemic [1:06:46] 
• Josh’s favorite tech stack [1:11:13]

Additional materials: www.superdatascience.com/665

The Super Data Science Podcast: Machine Learning | AI | Success

665: How to be both socially impactful and financially successful in your data career

❗Our new podcast episode titled, “How Data Drives Business & Decision Making Within a Large Organisation” is up and running❗

Join us as we discuss:

- How data has transformed decision-making within large organizations? 🤔
- The challenges faced when implementing data-driven decision making, and how to overcome them
- Some of the emerging trends and technologies that will shape the future of data-driven decision making 💭
- AND MORE!

Our host for this episode is Pearlie Leng (Associate Consultant at Evolution), and joining her is:

❇️ Amit Jain - Head of Data Analytics & Business Intelligence (Group Digital Office) and Lead of Digital Centre of Excellence at Keppel Corp

Check it out NOW! 👇

#data #decisionmaking #dataanalytics

Evo SG #50 - How Data Drives Business & Decision Making

This episode of the Data Show marks our 100th episode. This podcast stemmed out of video interviews conducted at O’Reilly’s 2014 Foo Camp. We had a collection of friends who were key members of the data science and big data communities on hand and we decided to record short conversations with them. We originally conceived of using those initial conversations to be the basis of a regular series of video interviews. The logistics of studio interviews proved too complicated, but those Foo Camp conversations got us thinking about starting a podcast, and the Data Show was born.

To mark this milestone, my colleague Paco Nathan, co-chair of Jupytercon, turned the tables on me and asked me questions about previous Data Show episodes. In particular, we examined the evolution of key topics covered in this podcast: data science and machine learning, data engineering and architecture, AI, and the impact of each of these areas on businesses and companies. I’m proud of how this show has reached so many people across the world, and I’m looking forward to sharing more conversations in the future.

The Evolution of Data Science, Data Engineering, and AI

This time, we met up with WePay's Joy Gao to talk through her work on the RBAC components in the recent Airflow 1.10 release. We dove deep into what inspired her work and took some time to discuss what it's like to be a woman contributing to a predominately male open-source community. Hope you enjoy!

If you'd like to get started using Airflow in your org, check out our recently-launched Spacecamp program here: https://www.astronomer.io/spacecamp

Feel free to email me at pete@astronomer.io with any feedback or if you'd like to be considered as a guest!

Role-Based Access Control (RBAC)

In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, talk about where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/183

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 183: Everything about Data Analytics & its Future

This week, we had the pleasure of meeting up with Jarek Potiuk, Principal Software Engineer at Polidea and Apache Airflow committer, to discuss his most recent contribution to the community, Airflow Breeze. Jarek deeply values developer productivity and realized while building a team of Airflow committers that, in order to open a PR on the project, passing unit tests and waiting for the CI build was a cumbersome process that could take up to a few hours. Breeze seeks to improve that experience for Airflow committers and lower the barrier-to-entry of contribution for folks that are new to the open-source community.

You can read more about Airflow Breeze here: https://www.polidea.com/blog/its-a-breeze-to-develop-apache-airflow/#the-apache-airflow-projects-setup

Airflow Breeze

Welcome to CDO battlescars — a podcast series where we talk to data leaders across data engineering, analytics, data science on the challenges they encountered in their journey of transforming raw data into insights! 

In this episode, I talk to Anil Madan at Intuit on battlescars in two areas: Standardization of business metrics and Democratization of Experimentation within the enterprise. Anil is the VP of Data and Analytics for Intuit’s Small Business and Self Employed group. He has over 25 years of experience in the data space across Intuit, PayPal,eBay — a poineer in building data infrastructure and value creation in the form of products, experimentation, data advertising, digital marketing, payments, and many more.

CDO Battlescars Podcast: Episode 1

Een baan als Data Engineering consultant in het team van Digital Power: de vacature lijkt je interessant, maar wat kun je in de praktijk verwachten? Wat moet je kunnen, wat voor werk ga je doen en waarom zou je bij ons moeten willen werken? Marloes gaat erover in gesprek met Wouter, Data Engineering consultant in ons team.

Data Engineering Consultant - In gesprek met Wouter

Bringing together leaders in the technology space to discuss the challenges they're facing and the solutions they're delivering.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Welcome to The Data Flowcast: Mastering Airflow for Data Engineering & AI — the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward.

Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. 

Podcast Webpage: https://www.astronomer.io/podcast/

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Popular tracks tagged #data engineering