课程介绍

Big SQL is another tool to work with your Hadoop data. Big SQL provides a common and familiar syntax for those that are already using SQL with their relational data to work with their big data. There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats.

This course will help you understand the Big SQL architecture and show the different methods for working with Big SQL. The course will list and explain the Big SQL data types and show how to create Big SQL schemas and table. The course will also cover the different file formats supported by Big SQL such as parquet and ORC.

In the lab exercises, you will get a chance to learn how to connect to the Big SQL server and load in some sample data. Then you will see how easy it is to use Big SQL to work with the data.

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Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v4 of the QSE Docker Image.

Please download the v4 Docker Image to complete the lab exercises.

https://www-01.ibm.com/marketing/iwm/iwm/web/reg/download.do?source=swg-ibmibqsevmw&S_PKG=ov14336&S_TACT=109HF71W&S_CMP=BigI_BDUBD001V2EN&lang=en_US

课程大纲

学习要求

Have taken the Hadoop Fundamentals – on Big Data University
Basic understanding of Apache Hadoop and Big Data.
Basic Linux Operating System knowledge

考核标准

课件浏览100%,客观练习0%,主观练习0%,课内讨论0%。
课程内容不断迭代，成绩以当时的课程内容为准，一旦合格，可以申请证书。申请证书后，以结课处理，成绩不再改动