AWS Glue DataBrew
Updated on Sep, 2023
Language - English
The course is about AWS Glue DataBrew.
AWS Glue DataBrew 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.
Using DataBrew, business analysts, data scientists, and data engineers can more easily collaborate to get insights from raw data. Because DataBrew is serverless, no matter what your technical level, you can explore and transform terabytes of raw data without needing to create clusters or manage any infrastructure.
With the intuitive DataBrew interface, you can interactively discover, visualize, clean, and transform raw data. DataBrew makes smart suggestions to help you identify data quality issues that can be difficult to find and time-consuming to fix. With DataBrew preparing your data, you can use your time to act on the results and iterate more quickly. You can save transformation as steps in a recipe, which you can update or reuse later with other datasets, and deploy on a continuing basis.
Who this course is for:
- ETL Developers
- Data Engineers
- Data Architects
- Business Analysts
What will you learn in this course:
AWS Glue DataBrew
Transformations using DataBrew
Cleanup and Normalize data
Scheduling DataBrew Jobs
What are the prerequisites for this course?
No programming experience required. Basic understanding of ETL/ELT and Cloud Architecture is an advantage, but not mandatory
Check out the detailed breakdown of what’s inside the course
- AWS Glue DataBrew 00:59 00:59
- About the Course 00:34 00:34
- Overview 02:30 02:30
Creating Data Set
Filter and Column
Format, Clean and Extract
Missing, Invalid, Duplicates and Outliers
Split, Merge and Create
Group, Join and Union
Jim MacaulaySenior Software Development Architect
My self Jim, am an experienced Software and Robotics Engineer with a demonstrated history of working in the financial services industry. Passionate about teaching and blogging. Am also a YouTuber and an Instructor. Skilled in Data Engineering with various ETL, Database and Cloud Technologies, and a Robotics Engineer. Strong consulting professional with a Master’s degree focused in Software Systems (Data Analytics) from Birla Institute of Technology and Science, Pilani.
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
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