Overview
Max Compute (formerly ODPS) provides a fast and fully hosting GB/TB/PB-level data warehouse solution. In this ACT82002 Alibaba Cloud MaxCompute & DataWorks Deep Dive course, you will learn how to perform in-depth data processing with MaxCompute and DataWorks.
This course covers cost control, data security, data quality checking, creating data-driven APIs, and more. You will also learn how to visualize data with QuickBI and DataV, and how to set up E-MapReduce (EMR) clusters to run Hadoop jobs.
Skills Covered
- Learn how to import, process, and export data using DataWorks and MaxCompute
- Learn how data can be visualized or made available as an API, using QuickBI, DataV, and DataService Studio
- Develop the skills needed to create end-to-end Big Data solutions on Alibaba Cloud
- See how QuickBI and DataV can be used to create compelling BI portals and live data dashboards
- Learn hands-on with lab exercises
Who Should Attend
Data Developers, Data analyst, Data scientist, Technical Operator, Solution Design Engineer that are interested in or aim to adopt Alibaba Cloud.
Course Curriculum
Prerequisites
There are no perquisites to attend this course. If you are new to Alibaba Cloud Big Data, please consider to attend the following course:
ACT82001: Alibaba Cloud Big Data Architecture
This Alibaba Cloud Big Data Architecture training course covers the big data solutions provided by Alibaba Cloud in order to deal with the challenges of enterprises in data management and digital transformation. The course will introduce the best practice of data integration, data development, data quality, data security, and data management, governance and data service in Alibaba Cloud.
Course Modules
Exam & Certification
ACP Big Data Certification.
This certification is designed for those familiar with big data and operational knowledge of Alibaba Cloud big data products. ACP Big Data Certification covers a wide range of Alibaba Cloud big data core services, including MaxCompute, DataWorks, E-MapReduce, Visualization and BI tools.