Turbodbc and Apache Arrow
Recent Posts
Public cloud cost control with Prometheus
Over the past decade, the entire IT industry has been pushing toward cloud computing. A recent article by Gartner argues the IT industry will be entering a s...
Making of turbodbc (part 2): C++ to Python
In the first part of this series, we learned how turbodbc builds a few layers of C++ code on top of the open database connectivity (ODBC) C API. We ended up ...
Efficient DataFrame Storage with Apache Parquet
In our daily work as data scientists, we deal with a lot with tabular data, also called DataFrames. At Blue Yonder, we use Pandas DataFrames to analyze and t...
Making of turbodbc (part 1): Wrestling with the side effects of a C API
Databases are the core of modern information technology. Databases are used by web servers to store content, by businesses to place orders, and by data scien...
Data Science and DevOps: A Success Story
What is “Data Science”?
Blue Yonder at Apache Big Data Europe
At Blue Yonder, we make use of several Apache projects and actively contribute to three projects at the moment (Apache Aurora, Apache Arrow, and Apache Parqu...
It’s fresh. It’s scientific. It’s free.
Blue Yonder’s python library tsfresh automatically extracts features from time series or sequences and it has just been released as an open source project.
Scalable Data Science: Apache Aurora at Blue Yonder
As a cloud-based provider, we at Blue Yonder care about the full lifecycle of predictive applications. It is not enough to build, train and run machine learn...