AWS Data Wrangler
Development & TrainingWhat 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 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
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Cons of AWS Data Wrangler
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AWS Data Wrangler Alternatives & Comparisons
What are some alternatives to AWS Data Wrangler?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
