Spark 2.x Enterprise big data project (real-time statistics, offline analysis and real-time ETL)

Spark 2.x Enterprise big data project (real-time statistics, offline analysis and real-time ETL)

Network disk address: https://pan.baidu.com/s/12SYlzRX3fS6R1Ig_kblx1Q extraction code: mosm

Alternate address (Tencent Weiyun): https://share.weiyun.com/57zbY26 password: idn9bg

This course comes from the first-line production project, all the code is running stably on the big data cluster of the current network, rejecting Demo. The course covers most of the scenarios of offline analysis and real-time analysis, and teaches how to elegantly integrate big data technologies such as Hadoop, Spark, HBase, Kafka, Redis, MySQL and other related technologies through three actual production projects.

There is no need to worry about the foundation of this course. The lecturer will analyze the evolution of each project in detail, build a development environment hand in hand, and have code practice at each function point, which can be used directly in production.

Chapter 1: real-time streaming data Analysis (Kafka+SparkStreaming+Redis)

Chapter 2: offline Log Analysis Project (SparkCore+HBase+MySQL)

Chapter 3: real-time ETL of Enterprise data (Kafka+SparkStreaming+HBase+Redis)