AWS Glue DataBrewAWS Glue DataBrew
What is AWS Glue DataBrew?
It is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. You only pay for what you use - no upfront commitment.
AWS Glue DataBrew is a tool in the Development & Training Tools category of a tech stack.
Key Features
Evaluate the quality of your data by profiling it to understand data patterns and detect anomalies, connect data directly from your data lake, data warehouses, and databasesChoose from over 250 built-in transformations to visualize, clean, and normalize your data with an interactive, point-and-click visual interfaceVisually map the lineage of your data to understand the various data sources and transformation steps that the data has been throughAutomate data cleaning and normalization tasks by applying saved transformations directly to new data as it comes into your source system
AWS Glue DataBrew Pros & Cons
Pros of AWS Glue DataBrew
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Cons of AWS Glue DataBrew
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AWS Glue DataBrew Alternatives & Comparisons
What are some alternatives to AWS Glue DataBrew?
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.
