The Year Of The Data Engineer

Alex Woodie points out that data science also requires data engineers:

The shortage of data scientists – those triple-threat types who possess advanced statistics, business, and coding skills – has been well-documented over the years. But increasingly, businesses are facing a shortage of another key individual on the big data team who’s critical to achieving success – the data engineer.

Data engineers are experts in designing, building, and maintaining the data-based systems in support of an organization’s analytical and transactional operations. While they don’t boast the quantitative skills that a data scientist would use to, say, build a complex machine learning model, data engineers do much of the other work required to support that data science workload, such as:

  • Building data pipelines to collect data and move it into storage;

  • Preparing the data as part of an ETL or ELT process;

  • Stitching the data together with scripting languages;

  • Working with the DBA to construct data stores;

  • Ensuring the data is ready for use;

  • Using frameworks and microservices to serve data.

Read the whole thing.  My experience is that most shops looking to hire a data scientist really need to get data engineers first; otherwise, you’re wasting that high-priced data scientist’s time.  The plus side is that if you’re already a database developer, getting into data engineering is much easier than mastering statistics or neural networks.

Related Posts

Building an Image Classifier with PyTorch

Rogier van der Geer shows how you can use PyTorch to build out a Convolutional Neural Network for image classification: The tool that we are going to use to make a classifier is called a convolutional neural network, or CNN. You can find a great explanation of what these are right here on wikipedia. But we […]

Read More

xgboost and Small Numbers of Subtrees

John Mount covers an interesting issue you can run into when using xgboost: While reading Dr. Nina Zumel’s excellent note on bias in common ensemble methods, I ran the examples to see the effects she described (and I think it is very important that she is establishing the issue, prior to discussing mitigation).In doing that I ran into one more […]

Read More

Categories

February 2018
MTWTFSS
« Jan Mar »
 1234
567891011
12131415161718
19202122232425
262728