Big data from 0 Foundation to Project practice (CDH5+Spark2.3.x)

Course download: https://pan.baidu.com/s/1gfb4vhowT4hGAVYb-bRVEg

Extraction code: jqff

This course is an employment course, with a complete actual combat project as the main line, each link of the project not only in-depth explanation of theoretical knowledge, but also combined with the project business practice, so as to achieve one-stop learning, so that you can quickly reach the level of employment.

Big data's common hot technology One lesson completed: linux, Shell programming, virtual machine, Hadoop (HDFS, MapReduce, Yarn, distributed cluster), Zookeeper, CDH5, Eclipseg and MapReduce integrated development, Eclipse configuration Maven management of multiple MapReduce, HBase distributed real-time database, Kafaka message cluster, Flume log collection, Flume and Kafaka integration, Flume and HBse integration, Flume HBaseSlink secondary development source deployment, Flume+HBase+Kafaka integrated development, Hive big data warehouse, Hive and HBase integration, Hue big data project visual analysis Spark2.x offline data calculation, Spark2.x real-time data analysis (Spark SQL, Spark Stream), visual data presentation (Eclipse+JDBC+Hive+Spark+MySQL+Echarts)

Full flow demonstration of Quanzhen enterprise project: big data production-> Collection-> Storage-> processing-> Computing-> Analysis (offline + real-time)-> extraction (offline + real-time)-> Java interface-> visual Web display.

Development environment:

CDH5 、 Spark2.3.x