AWS Data Wrangler
What is AWS Data Wrangler?
It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).
AWS Data Wrangler is a tool in the Development & Training Tools category of a tech stack.
Key Features
Writes in Parquet and CSV file formatsUtility belt to handle data on AWS
AWS Data Wrangler Pros & Cons
Pros of AWS Data Wrangler
No pros listed yet.
Cons of AWS Data Wrangler
No cons listed yet.
AWS Data Wrangler Alternatives & Comparisons
What are some alternatives to AWS Data Wrangler?
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
