Tag: data engineering

  • The tech and people of AI

    The tech and people of AI

    The tech and people of AI are presented nicely in this infographic. There is tons of information in here, so take your time. Plus, leave a comment with any details you find surprising or interesting. You can also find more infographics at Visualistan Also, Data Science 101 has posted many other data-specific infographics.

  • Getting Your First Job in Data Science

    Getting Your First Job in Data Science

    Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Plus, this post includes a free, complete guide to getting your first data science job.

  • How to know if Microsoft Azure is down?

    How to know if Microsoft Azure is down?

    Occasionally a product in Microsoft Azure will go down. Luckily, Azure has a status page to tell you which servers and services are down. Here is a quick video to help you find that status page.

  • GoLang for Data Science

    GoLang for Data Science

    Should you use golang for Data Science? Here are the pros and cons.

  • Microsoft Launches Data Science Certifications

    Microsoft Launches Data Science Certifications

    In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. Here is a list of the certifications and the exams.

  • Azure Functions for Data Science

    Data Scientists do more than build fancy AI and machine learning models. They often times need to get involved with the data acquisition process. It is common for data to be pulled from other databases or even an API. Plus, the models need to be deployed. These tasks fall to the data scientist to solve…

  • Data Science Live Book

    Pablo Casas has published a book freely available online, Data Science Live Book. To quote from the book, It is a book about data preparation, data analysis and machine learning. The book is open source, and the code examples are written in R.

  • Best Practices for Machine Learning Engineering

    Martin Zinkevich, Research Scientist at Google, just compiled a large list (43 to be exact) of best practices for building machine learning systems. Rules of Machine Learning: Best Practices for ML Engineering If you do data engineering or are involved with building data science systems, this document is worth a look.

  • Data Scientists, Data Engineers, Software Engineers: The Difference According to LinkedIn

    Data Scientists, Data Engineers, Software Engineers: The Difference According to LinkedIn

    The differences between Data Scientists, Data Engineers, and Software engineers can get a little confusing at times. Thus, here is a guest post provided by Jake Stein, CEO at Stitch formerly RJ Metrics, which aims to clear up some of that confusion based upon LinkedIn data. As data grows, so does the expertise needed to…

  • Data Scientist vs Data Engineer

    Data Scientist vs Data Engineer

    As the field of data science continues to grow and mature, it is nice to begin seeing some distinction in the roles of a data scientist. A new job title gaining popularity is the data engineer. In this post, I lay out some of the distinctions between the 2 roles.   Data Scientist A data…

  • Wanna Be a Data Engineer? – Insight Data Engineering Can Help

    Last week, I got the opportunity to spend some time with the team from Insight Data Engineering. They offer a free program that trains people to be data engineers. Then they help those people connect with a job at an impressive company. The program runs a few times a year and consists of 6 intense…

  • Insight Data Engineering – A Free Tuition Training Program

    The creators is the Insight Data Science Fellows Program have done it again. This time they have created the Insight Data Engineering Program. The program aims to training highly specialized software engineers that can build big data systems and big data pipelines. Unlike the data science program, the data engineering program does not target people…