Qiang teacher: Large data from entry to the master (21) Spark SQL-165 people have been learning 
courses income
this series of courses will be based on RedHat Linux 7.4 version, Hadoop 2.7.3, Spark 2 full version introduces a whole big data content, so that students in-depth understand and master the operating mechanism and principle, to further grasp the big data-related content.
Instructors
Qiang teacher For more Instructor Course
graduated from Tsinghua University, has over 13 years of experience. Oracle certified instructor with over 6 years of teaching experience. Mastering Oracle database, intermediate (Weblogic) Hadoop and big data management and development, proficient in Java language. Who Hubei Mobile, the Beijing Municipal Public Security Bureau, China Life Insurance, AutoDesk (China) Co., Ltd., Chengdu arrived Technology Co., Ltd., China Telecom, China Mobile, Shandong Education Network training. Because of its serious and responsible attitude to teaching and course content based on the nature of interpretation, sought after by students.
Course Outline
Chapter 1: Spark SQL foundation
1. the Spark SQL Course Overview 14:43
2. What is Spark SQL? 9:53
3. Create a class by DataFrame Case 13:18
4. Create DataFrame by SparkSession 13:13
5. The Create DataFrame use data files formatted 6:48
6. Operation DataFrame 12:31
7. The temporary views 9:56
8. The the DataSet Introduction 5:12
Chapter 2: Spark SQL data source
1. Load and save functions 13:12
2. What is Parquet document 8: 27
3. the combined Parquet Schema files of 10:17
4. read JSON file 3:11
5. use JDBC data source 12:00
6. access the Table Hive 17:38
Chapter 3: Spark SQL programming case
1. case a: specify the schema format 17:42
2. case two: class case 7:56
3. case 3: access relational databases 12:39
Chapter 4: Spark SQL performance optimization
1. Optimization of Spark SQL performance 15:09
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