Evolving Data Science
Announcing a new series focused on helping you do more with advanced analytics, data science, and data engineering
Over the past year, I’ve responded to a number of requests to assist clients in maturing their data science practice and have held a number of guided, hands-on workshops on a variety of data science and data engineering topics.
In the interest of taking a small step to “scale” that workshop model to a broader audience, I’m starting an Evolving Data Science series in which I’ll discuss topics, technology, and techniques that will help you with data science approaches, patterns, and the overall tech stack in order to move into the next phase of advanced analytics.
Or, if you are already moving in an advanced analytics direction, then these articles will help you identify potential future needs, provide a perspective on cloud services available and coming, and help in designing infrastructure accordingly.
Working daily with a diverse set of customers and technology partners across 30+ industries provides us with unique exposure to a broad range of requirements and challenges (strategic and tactical) in both data science and data engineering.
I hope you enjoy the series which is being kicked off with the two stories below, and please check back regularly for new additions:
Evolving Data Science Series Stories
Versioning Data Science Solutions
I come from an academic background, so when I talk about how versioning is done within data science, I speak from…
Feel free to share on other channels and be sure and keep up with all new content from Hashmap here.
If you enjoyed reading this, some of John’s other stories are below:
Securely Using Snowflake’s Python Connector within an Azure Function
Why and How to use Key Vault
Using DBT to Execute ELT Pipelines in Snowflake
DevOps and DataOps for Snowflake with DBT and Azure DevOps
Orchestration and DAG Design in Apache Airflow — Two Approaches
Orchestration of ETL processes — aka data pipelines — is a conceptually simple exercise, it’s the implementation that…
John Aven, Ph.D., is the Director of Engineering at Hashmap providing Data, Cloud, IoT, and AI/ML solutions and consulting expertise across industries with a group of innovative technologists and domain experts accelerating high-value business outcomes for our customers. Be sure and connect with John on LinkedIn and reach out for more perspectives and insight into accelerating your data-driven business outcomes.